diff options
Diffstat (limited to 'firmware')
32 files changed, 0 insertions, 33934 deletions
diff --git a/firmware/Run_analysis.ipynb b/firmware/Run_analysis.ipynb deleted file mode 100644 index aeebf6d..0000000 --- a/firmware/Run_analysis.ipynb +++ /dev/null @@ -1,5139 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "from matplotlib import pyplot as plt\n", - "%matplotlib notebook\n", - "import numpy as np\n", - "import numpy.polynomial.polynomial as poly\n", - "\n", - "import statistics\n", - "import warnings\n", - "import itertools\n", - "import sqlite3" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "db = sqlite3.connect('results.sqlite3')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def fetch_run(names_or_ids):\n", - " run_info, grouped, cals = [], {}, {}\n", - " for name_or_id in names_or_ids:\n", - " if type(name_or_id) is str:\n", - " runs = db.execute('SELECT run_id FROM runs WHERE name LIKE ?', (name_or_id,)).fetchall()\n", - " if len(runs) > 1:\n", - " raise ValueError('Ambiguous run name {} matches run ids {}'.format(run_name, runs))\n", - "\n", - " ((run_id,),), run_name = runs, name_or_id\n", - " else:\n", - " run_id, (run_name,) = name_or_id, db.execute('SELECT name FROM runs WHERE run_id == ?', (name_or_id,)).fetchone()\n", - " run_info.append((run_id, run_name))\n", - " \n", - " data = db.execute('''\n", - " SELECT channel, duty_cycle, voltage, voltage_stdev FROM measurements\n", - " WHERE run_id == ?\n", - " ORDER BY channel ASC, duty_cycle ASC;\n", - " ''', (run_id,)).fetchall()\n", - " _ch, cal_duty, *cal = data[0]\n", - " assert cal_duty == 0\n", - " cals[run_id] = cal\n", - " for ch, data in itertools.groupby(data, lambda elem: elem[0]):\n", - " if ch == -1: # skip cal data\n", - " continue\n", - " if ch in grouped:\n", - " warnings.warn('Duplicate data: Channel {} found in more than one run!'.format(ch))\n", - " grouped[ch] = [(duty, volt, stdev) for _ch, duty, volt, stdev in data]\n", - " return run_info, grouped, next(iter(cals.values())) # for now just use some random cal value" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def apply_style(ax):\n", - " ax.spines['top'].set_visible(False)\n", - " ax.spines['right'].set_visible(False)\n", - " ax.spines['bottom'].set_color('#08bdf9')\n", - " ax.spines['left'].set_color('#08bdf9')\n", - " ax.tick_params(axis='x', colors='#01769D', which='both')\n", - " ax.tick_params(axis='y', colors='#01769D', which='both')\n", - " ax.xaxis.label.set_color('#01769D')\n", - " ax.yaxis.label.set_color('#01769D')\n", - " ax.grid(color='#08bdf9', linestyle=':')" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "color_bright, color_dark = '#ffd2e9', '#fe3ea0'\n", - "\n", - "def plot_run(figtitle, *names_or_ids, figsize=None, combine_plots=False, svgfile=None):\n", - " run_info, data, cal = fetch_run(names_or_ids)\n", - " \n", - " if combine_plots:\n", - " rows, cols = 1, 1\n", - " else:\n", - " rows = (len(data)+1)//2\n", - " cols = 2 if len(data) > 1 else 1\n", - " fig, axs = plt.subplots(rows, cols, figsize=figsize or (8,3*max(2, rows)), squeeze=False)\n", - " if figtitle:\n", - " fig.suptitle(figtitle)\n", - " if combine_plots:\n", - " axs = np.array([axs[0,0]] * len(names_or_ids))\n", - "\n", - " cal_volt, cal_stdev = cal\n", - " offsets = []\n", - " for ch, ax in zip(data, axs.flat):\n", - " ch_data = data[ch]\n", - " duty, volt, stdev = zip(*ch_data)\n", - " \n", - " duty = np.array(duty) / duty[0]\n", - " volt = np.array(volt) - cal_volt\n", - " vref = volt[0]\n", - " stdev = np.array(stdev)\n", - " \n", - " max_y = max(volt)/vref\n", - " min_x, max_x = min(duty), max(duty)\n", - " \n", - " offx, slope = fit_coefs = poly.polyfit(duty, volt, 1)\n", - " fit_func = poly.polyval(duty, fit_coefs)\n", - " ax.errorbar(duty, volt/vref, yerr=stdev/vref, color=color_bright, zorder=1)\n", - " ax.plot(duty, fit_func/vref, color=color_dark, zorder=2)\n", - " \n", - " apply_style(ax)\n", - " ax.set_xscale('log')\n", - " ax.set_yscale('log')\n", - " bit_offx = offx/slope\n", - " offsets.append(bit_offx)\n", - " \n", - " print('Channel {} offset: {:6.3f}lsb'.format(ch, bit_offx))\n", - " if figtitle:\n", - " ax.set_title('Channel {}, offset={:.3f}lsb'.format(ch, bit_offx))\n", - " \n", - " # reuse latest duty cycles here\n", - " ax.set_xticks(duty)\n", - " ax.set_xticklabels([str(i) for i in range(len(duty))])\n", - " ax.set_xlabel('bit index')\n", - " ax.set_yticks([2**i for i in range(len(duty))])\n", - " ax.set_yticklabels([str(2**i) for i in range(len(duty))])\n", - "\n", - " ax.set_xlim([min_x*0.9, max_x*1.1])\n", - " ax.set_ylim([0, max_y*1.1])\n", - " \n", - " if len(names_or_ids) > 1:\n", - " print('Offset statistics: mean={:.4f}lsb, stdev={:.4f}lsb'.format(\n", - " statistics.mean(offsets), statistics.stdev(offsets)))\n", - " \n", - " if svgfile:\n", - " fig.savefig(svgfile)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def fetch_runs(*names):\n", - " return [run_id for name in names for run_id, in db.execute('''\n", - " SELECT DISTINCT runs.run_id\n", - " FROM runs JOIN measurements USING (run_id)\n", - " WHERE name LIKE ? AND channel != -1\n", - " ''', (name,)).fetchall() ]" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", - "}\n" - ], - "text/plain": [ - "<IPython.core.display.Javascript object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "<img 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\" width=\"800\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Channel 31 offset: 2.681lsb\n", - "Channel 30 offset: 2.633lsb\n", - "Channel 29 offset: 2.616lsb\n", - "Channel 28 offset: 2.643lsb\n", - "Offset statistics: mean=2.6432lsb, stdev=0.0276lsb\n" - ] - } - ], - "source": [ - "plot_run('All channels, blue runs', *fetch_runs('green1', 'green2', 'green3', 'green4'))" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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\" 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' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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width=\"800\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def bitslide(nbits, offx_lsb):\n", - " return [ sum((2**n + offx_lsb) if i&(2**n) else 0 for n in range(nbits)) for i in range(2**nbits) ]\n", - "\n", - "def plot_bitslide(data):\n", - " fig, (axl, axr) = plt.subplots(1, 2, figsize=(8, 3))\n", - " apply_style(axl)\n", - " apply_style(axr)\n", - " axl.plot(data, color=color_dark)\n", - " axr.plot(data, color=color_dark)\n", - " axr.set_yscale('log')\n", - " axr.set_xscale('log')\n", - " axl.set_xlim((0, len(data)))\n", - " axr.set_xlim((0, len(data)))\n", - "\n", - "plot_bitslide(bitslide(8, 2.5))" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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\" width=\"600\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def frob_export_for_blog(data, svgfile=None):\n", - " fig, ax = plt.subplots(1, 1, figsize=(6, 4))\n", - " apply_style(ax)\n", - " ax.plot(data, color=color_dark)\n", - " ax.set_yscale('log')\n", - " ax.set_xscale('log')\n", - " ax.set_xlim((0, len(data)))\n", - " if svgfile:\n", - " fig.savefig(svgfile)\n", - "\n", - "frob_export_for_blog(bitslide(8, 2.5), svgfile='/tmp/uncorrected_brightness_sim.svg')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "<matplotlib.figure.Figure at 0x72df4cb50dd8>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def cutoff_reference(nbits, offx_lsb, cutoff):\n", - " return [ sum((2**n + offx_lsb) if i&(2**n) else 0 for n in range(cutoff, nbits))\n", - " for i in range(2**nbits) ]\n", - "\n", - "plot_bitslide(cutoff_reference(8, 2.5, 3))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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DYcUVYdNNoV27dDTa5puns7ollb76xmaX5krA6aenJbjPPQdt2mRd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\n", - "text/plain": [ - "<matplotlib.figure.Figure at 0x72df4cb4a748>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def improved_bitslide1(nbits, offx_lsb, cutoff):\n", - " bs = sorted(bitslide(cutoff, offx_lsb))\n", - " return [ sum((2**n + offx_lsb) if i&(2**n) else 0 for n in range(cutoff, nbits))\n", - " + bs[i%(2**cutoff)] for i in range(2**nbits) ]\n", - "\n", - "plot_bitslide(improved_bitslide1(8, 2.5, 5))" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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cm6X69dVXqdjs3x822yzrNKoVzohKKqrXXoObboJx49JM6LBhsPjiWaeSJElt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\nq0irnnrEGC+dh+/p2KyK8ey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kzohKUuWrukL05pth/Hj4979hgQWyTiNJkiRJmldVUYh+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\nRTkQlSRJkiQV5UBUkiRJklTUv2fCWd3jCpNQAAAAAElFTkSuQmCC\n", - "text/plain": [ - "<matplotlib.figure.Figure at 0x72df4cd3de80>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def improved_bitslide2(nbits, offx_lsb, cutoff):\n", - " bs = lambda x: min(bitslide(cutoff, offx_lsb), key=lambda y: abs(x-y))\n", - " return [ sum((2**n + offx_lsb) if i&(2**n) else 0 for n in range(cutoff, nbits))\n", - " + bs(i%(2**cutoff)) for i in range(2**nbits) ]\n", - "\n", - "plot_bitslide(improved_bitslide2(8, 2.5, 5))" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Channel 23 offset: 0.741lsb\n" - ] - }, - { - "data": { - "image/png": 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53s6mJEmSVIG8/z5065bpal5723f0//YMBn8xmLsPvJs96+2Z6/JUBfnoE0mS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\nOfMpYTZsiD0zc/jw2Imz9etHnUiSJEnS/kjUNlrlsFmrZ9F9Ync+nPs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- "text/plain": [ - "<matplotlib.figure.Figure at 0x72df4c700198>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_run('Linearity test run', *fetch_runs('test102'))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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width=\"800\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def simulate_bitslide(data):\n", - " nbits = len(data)\n", - " return [ sum(data[n] if i&(2**n) else 0 for n in range(nbits)) for i in range(2**nbits) ]\n", - "\n", - "info, data, (zero_cal, _stdev) = fetch_run(['test103'])\n", - "data = np.array(next(iter(data.values())))[:,1] - zero_cal\n", - "plot_bitslide(simulate_bitslide(data))" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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\" width=\"600\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "frob_export_for_blog(simulate_bitslide(data), svgfile='/tmp/corrected_brightness_sim.svg')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/firmware/Spectrum Measurement.ipynb b/firmware/Spectrum Measurement.ipynb deleted file mode 100644 index 516321b..0000000 --- a/firmware/Spectrum Measurement.ipynb +++ /dev/null @@ -1,3667 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "import sqlite3\n", - "import time\n", - "from IPython import display\n", - "from datetime import datetime\n", - "import scipy.interpolate as inter\n", - "from scipy import integrate\n", - "\n", - "import numpy as np\n", - "from matplotlib import pyplot as plt\n", - "%matplotlib notebook" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "db = sqlite3.connect('spectra.sqlite3')" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def load_run(capture_id, gain, zero_cal=False):\n", - " if zero_cal:\n", - " data = db.execute('SELECT a.step, a.voltage, a.voltage_stdev, b.voltage, b.voltage_stdev '\n", - " 'FROM measurements a JOIN measurements b USING (step) '\n", - " 'WHERE a.capture_id = ?1 AND a.led_on = 1 AND b.capture_id = ?1 AND b.led_on = 0 '\n", - " 'ORDER BY step ASC', (capture_id,)).fetchall()\n", - " steps, voltages, voltage_stdevs, zero_voltages, zero_stdevs = map(np.array, zip(*data))\n", - " else:\n", - " data = db.execute('SELECT step, voltage, voltage_stdev '\n", - " 'FROM measurements '\n", - " 'WHERE capture_id = ? AND led_on = 1 '\n", - " 'ORDER BY step ASC', (capture_id,)).fetchall()\n", - " steps, voltages, voltage_stdevs = map(np.array, zip(*data))\n", - " zero_voltages = zero_stdevs = np.zeros(len(steps))\n", - " \n", - " return (steps,\n", - " (voltages-zero_voltages)/gain*1e9, # nanoamps\n", - " np.sqrt(np.square(voltage_stdevs) + np.square(zero_stdevs))/gain*1e9) #nanoamps" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def find_captures(name):\n", - " # Get the newest capture for each color\n", - " captures = db.execute(\n", - " 'SELECT capture_id, color, gain FROM runs WHERE (name, color, timestamp) IN '\n", - " '(SELECT name, color, MAX(timestamp) FROM runs '\n", - " 'WHERE name=? GROUP BY color ORDER BY timestamp)', (name,)).fetchall()\n", - " \n", - " if not captures:\n", - " raise ValueError('Run not found')\n", - " return captures" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def live_plot(name,\n", - " spline_s=1, interval=1,\n", - " live=True, save_svg=None):\n", - " captures = find_captures(name)\n", - " \n", - " fig, ax = plt.subplots(1, 1)\n", - " \n", - " colors = {\n", - "\n", - " }\n", - " \n", - " while True:\n", - " ax.clear()\n", - " ax.spines['top'].set_visible(False)\n", - " ax.spines['right'].set_visible(False)\n", - " ax.spines['bottom'].set_color('#08bdf9')\n", - " ax.spines['left'].set_color('#08bdf9')\n", - " ax.tick_params(axis='x', colors='#01769D')\n", - " ax.tick_params(axis='y', colors='#01769D')\n", - " ax.xaxis.label.set_color('#01769D')\n", - " ax.yaxis.label.set_color('#01769D')\n", - " ax.set_xlabel('$x\\;[step]$')\n", - " ax.set_ylabel('$I_{pd}\\;[nA]$')\n", - " ax.grid(color='#08bdf9', linestyle=':')\n", - " \n", - " for capture_id, color, gain in captures:\n", - " color_dark, color_bright = colors.get(color, ('#fe3ea0', '#ffd2e9'))\n", - " steps, values, stdev = load_run(capture_id, gain)\n", - " \n", - " ax.errorbar(steps, values, yerr=stdev, color=color_bright, zorder=1)\n", - " try:\n", - " spline = inter.UnivariateSpline(steps, values, s=spline_s)\n", - " ax.plot(steps, spline(steps), color=color_dark, zorder=2)\n", - " except:\n", - " pass\n", - " fig.canvas.draw()\n", - " if save_svg:\n", - " fig.savefig(save_svg)\n", - " if save_svg or not live:\n", - " break\n", - " time.sleep(1)" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", - "}\n" - ], - "text/plain": [ - "<IPython.core.display.Javascript object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "<img 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\" width=\"640\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "live_plot('cheap_rgb', spline_s=0.001, live=False, save_svg='/tmp/raw_plot_cheap_rgb.svg')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* Go further than step 250 to capture some zeros beyond the red band to allow the spline fitter to do its job more properly\n", - "* Move the entire screen further down and further increase range to properly capture blue rolloff\n", - "* Decrease amplification to avoid clipping. Maybe change amplification midway for green channel. Currenlty set to 5GOhm using 10M transimp feedback R with 1:10 T feedback and ~1:50 gain voltage amp stage. Maybe go back to plain transimp amp with 10M gain, for a total gain of 500M\n", - "* Decrease VGND bias to allow for more headroom" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def plot_rgb_foo(data_rgb, ids_rgb, spline_s=1):\n", - " fig, ax = plt.subplots(1, 1)\n", - " fig.suptitle('Runs {}(R), {}(G), {}(B) at {:%y-%m-%d %H:%M:%S}'.format(*ids_rgb, datetime.now()))\n", - "\n", - " colors = [\n", - " ((1,0,0), (1,0.8,0.8)),\n", - " ((0,1,0), (0.8,1,0.8)),\n", - " ((0,0,1), (0.8,0.8,1))\n", - " ]\n", - " for (steps, values, stdev), (color_dark, color_bright) in zip(data_rgb, colors):\n", - " ax.errorbar(steps, values, yerr=stdev, color=color_bright)\n", - " \n", - " spline = inter.UnivariateSpline(steps, values, s=spline_s)\n", - " ax.plot(steps, spline(steps), color=color_dark)" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Poly for run 45: 2\n", - "2.282e-06 x - 0.001576 x + 0.4019\n", - "Poly for run 46: 2\n", - "6.886e-07 x - 0.0005388 x + 0.1561\n", - "Poly for run 44: 2\n", - "1.258e-06 x - 0.001514 x + 0.5252\n" - ] - }, - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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\" width=\"640\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ids = (45, 46, 44)\n", - "bands = [(260,410), (150,330), (100,260)]\n", - "poly_degree = 2\n", - "max_stdev = 1.0\n", - "remove_thresh = 0.05\n", - "\n", - "data_rgb = []\n", - "for run_id, (l, r) in zip(ids, bands):\n", - " steps, values, stdev = load_run_zero_cal(run_id, max_stdev)\n", - " \n", - " idxs = (np.abs(stdev[1:-1] - stdev[0:-2]) < remove_thresh) |\\\n", - " (np.abs(stdev[1:-1] - stdev[2:]) < remove_thresh)\n", - " idxs = np.hstack([np.array([True]), idxs, np.array([True])])\n", - " steps, values, stdev = steps[idxs], values[idxs], stdev[idxs]\n", - " \n", - " idxs = (steps < l) | (steps > r)\n", - " poly = np.poly1d(np.polyfit(steps[idxs], values[idxs], poly_degree))\n", - " print('Poly for run {}: {}'.format(run_id, str(poly).strip()))\n", - " \n", - " values -= poly(steps)\n", - " data_rgb.append((steps, values, stdev))\n", - "\n", - "plot_rgb_foo(data_rgb, ids, spline_s=0.05)" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def plot_rgb_calibrated(data_rgb, spline_s=1, save_svg=None):\n", - " fig, ax = plt.subplots(1, 1)\n", - "\n", - " for steps, values, stdev in data_rgb:\n", - " ax.errorbar(steps, values, yerr=stdev, color='#ffd2e9', zorder=1)\n", - " \n", - " spline = inter.UnivariateSpline(steps, values, s=spline_s)\n", - " ax.plot(steps, spline(steps), color='#fe3ea0', zorder=2)\n", - " \n", - " ax.spines['top'].set_visible(False)\n", - " ax.spines['right'].set_visible(False)\n", - " ax.spines['bottom'].set_color('#08bdf9')\n", - " ax.spines['left'].set_color('#08bdf9')\n", - " ax.tick_params(axis='x', colors='#01769D')\n", - " ax.tick_params(axis='y', colors='#01769D')\n", - " ax.xaxis.label.set_color('#01769D')\n", - " ax.yaxis.label.set_color('#01769D')\n", - " ax.grid(color='#08bdf9', linestyle=':')\n", - " \n", - " ax.set_xlim([380, 720])\n", - " ax.set_xlabel('$\\lambda\\;[nm]$')\n", - " ax.set_ylabel('$I_{pd}\\;[nA]$')\n", - " \n", - " if save_svg:\n", - " fig.savefig(save_svg)" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n", - "}\n" - ], - "text/plain": [ - "<IPython.core.display.Javascript object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "<img 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\" width=\"640\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "λ_sfh2701 = [ 300, 400, 500, 600, 700, 800, 900, 1000, 1100]\n", - "S_sfh2701 = [0.00, 0.20, 0.57, 0.76, 0.90, 1.00, 0.85, 0.37, 0.00]\n", - "Λ_sfh2701 = np.poly1d(np.polyfit(λ_sfh2701, S_sfh2701, 5))\n", - "r = np.arange(380, 720)\n", - "fig, ax = plt.subplots(1, 1)\n", - "ax.plot(r, Λ_sfh2701(r), color='#fe3ea0')\n", - "ax.set_xlim([380, 720])\n", - "\n", - "ax.spines['top'].set_visible(False)\n", - "ax.spines['right'].set_visible(False)\n", - "ax.spines['bottom'].set_color('#08bdf9')\n", - "ax.spines['left'].set_color('#08bdf9')\n", - "ax.tick_params(axis='x', colors='#01769D')\n", - "ax.tick_params(axis='y', colors='#01769D')\n", - "ax.xaxis.label.set_color('#01769D')\n", - "ax.yaxis.label.set_color('#01769D')\n", - "ax.grid(color='#08bdf9', linestyle=':')\n", - "\n", - "ax.set_xlim([380, 720])\n", - "ax.set_xlabel('$\\lambda\\;[nm]$')\n", - "ax.set_ylabel('$S_{rel,820nm}\\;[1]$')\n", - "fig.savefig('/tmp/photodiode_sensitivity.svg')" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Poly for red channel\n", - " \n", - "-0.0001301 x + 0.4955\n", - "Poly for green channel\n", - " \n", - "-3.846e-05 x + 0.4401\n", - "Poly for blue channel\n", - " \n", - "-0.000189 x + 0.5092\n" - ] - }, - { - "data": { - "application/javascript": [ - "/* Put everything inside the global mpl namespace */\n", - "window.mpl = {};\n", - "\n", - "\n", - "mpl.get_websocket_type = function() {\n", - " if (typeof(WebSocket) !== 'undefined') {\n", - " return WebSocket;\n", - " } else if (typeof(MozWebSocket) !== 'undefined') {\n", - " return MozWebSocket;\n", - " } else {\n", - " alert('Your browser does not have WebSocket support.' +\n", - " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", - " 'Firefox 4 and 5 are also supported but you ' +\n", - " 'have to enable WebSockets in about:config.');\n", - " };\n", - "}\n", - "\n", - "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", - " this.id = figure_id;\n", - "\n", - " this.ws = websocket;\n", - "\n", - " this.supports_binary = (this.ws.binaryType != undefined);\n", - "\n", - " if (!this.supports_binary) {\n", - " var warnings = document.getElementById(\"mpl-warnings\");\n", - " if (warnings) {\n", - " warnings.style.display = 'block';\n", - " warnings.textContent = (\n", - " \"This browser does not support binary websocket messages. \" +\n", - " \"Performance may be slow.\");\n", - " }\n", - " }\n", - "\n", - " this.imageObj = new Image();\n", - "\n", - " this.context = undefined;\n", - " this.message = undefined;\n", - " this.canvas = undefined;\n", - " this.rubberband_canvas = undefined;\n", - " this.rubberband_context = undefined;\n", - " this.format_dropdown = undefined;\n", - "\n", - " this.image_mode = 'full';\n", - "\n", - " this.root = $('<div/>');\n", - " this._root_extra_style(this.root)\n", - " this.root.attr('style', 'display: inline-block');\n", - "\n", - " $(parent_element).append(this.root);\n", - "\n", - " this._init_header(this);\n", - " this._init_canvas(this);\n", - " this._init_toolbar(this);\n", - "\n", - " var fig = this;\n", - "\n", - " this.waiting = false;\n", - "\n", - " this.ws.onopen = function () {\n", - " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n", - " fig.send_message(\"send_image_mode\", {});\n", - " if (mpl.ratio != 1) {\n", - " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n", - " }\n", - " fig.send_message(\"refresh\", {});\n", - " }\n", - "\n", - " this.imageObj.onload = function() {\n", - " if (fig.image_mode == 'full') {\n", - " // Full images could contain transparency (where diff images\n", - " // almost always do), so we need to clear the canvas so that\n", - " // there is no ghosting.\n", - " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", - " }\n", - " fig.context.drawImage(fig.imageObj, 0, 0);\n", - " };\n", - "\n", - " this.imageObj.onunload = function() {\n", - " this.ws.close();\n", - " }\n", - "\n", - " this.ws.onmessage = this._make_on_message_function(this);\n", - "\n", - " this.ondownload = ondownload;\n", - "}\n", - "\n", - "mpl.figure.prototype._init_header = function() {\n", - " var titlebar = $(\n", - " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n", - " 'ui-helper-clearfix\"/>');\n", - " var titletext = $(\n", - " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n", - " 'text-align: center; padding: 3px;\"/>');\n", - " titlebar.append(titletext)\n", - " this.root.append(titlebar);\n", - " this.header = titletext[0];\n", - "}\n", - "\n", - "\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._init_canvas = function() {\n", - " var fig = this;\n", - "\n", - " var canvas_div = $('<div/>');\n", - "\n", - " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n", - "\n", - " function canvas_keyboard_event(event) {\n", - " return fig.key_event(event, event['data']);\n", - " }\n", - "\n", - " canvas_div.keydown('key_press', canvas_keyboard_event);\n", - " canvas_div.keyup('key_release', canvas_keyboard_event);\n", - " this.canvas_div = canvas_div\n", - " this._canvas_extra_style(canvas_div)\n", - " this.root.append(canvas_div);\n", - "\n", - " var canvas = $('<canvas/>');\n", - " canvas.addClass('mpl-canvas');\n", - " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n", - "\n", - " this.canvas = canvas[0];\n", - " this.context = canvas[0].getContext(\"2d\");\n", - "\n", - " var backingStore = this.context.backingStorePixelRatio ||\n", - "\tthis.context.webkitBackingStorePixelRatio ||\n", - "\tthis.context.mozBackingStorePixelRatio ||\n", - "\tthis.context.msBackingStorePixelRatio ||\n", - "\tthis.context.oBackingStorePixelRatio ||\n", - "\tthis.context.backingStorePixelRatio || 1;\n", - "\n", - " mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n", - "\n", - " var rubberband = $('<canvas/>');\n", - " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n", - "\n", - " var pass_mouse_events = true;\n", - "\n", - " canvas_div.resizable({\n", - " start: function(event, ui) {\n", - " pass_mouse_events = false;\n", - " },\n", - " resize: function(event, ui) {\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " stop: function(event, ui) {\n", - " pass_mouse_events = true;\n", - " fig.request_resize(ui.size.width, ui.size.height);\n", - " },\n", - " });\n", - "\n", - " function mouse_event_fn(event) {\n", - " if (pass_mouse_events)\n", - " return fig.mouse_event(event, event['data']);\n", - " }\n", - "\n", - " rubberband.mousedown('button_press', mouse_event_fn);\n", - " rubberband.mouseup('button_release', mouse_event_fn);\n", - " // Throttle sequential mouse events to 1 every 20ms.\n", - " rubberband.mousemove('motion_notify', mouse_event_fn);\n", - "\n", - " rubberband.mouseenter('figure_enter', mouse_event_fn);\n", - " rubberband.mouseleave('figure_leave', mouse_event_fn);\n", - "\n", - " canvas_div.on(\"wheel\", function (event) {\n", - " event = event.originalEvent;\n", - " event['data'] = 'scroll'\n", - " if (event.deltaY < 0) {\n", - " event.step = 1;\n", - " } else {\n", - " event.step = -1;\n", - " }\n", - " mouse_event_fn(event);\n", - " });\n", - "\n", - " canvas_div.append(canvas);\n", - " canvas_div.append(rubberband);\n", - "\n", - " this.rubberband = rubberband;\n", - " this.rubberband_canvas = rubberband[0];\n", - " this.rubberband_context = rubberband[0].getContext(\"2d\");\n", - " this.rubberband_context.strokeStyle = \"#000000\";\n", - "\n", - " this._resize_canvas = function(width, height) {\n", - " // Keep the size of the canvas, canvas container, and rubber band\n", - " // canvas in synch.\n", - " canvas_div.css('width', width)\n", - " canvas_div.css('height', height)\n", - "\n", - " canvas.attr('width', width * mpl.ratio);\n", - " canvas.attr('height', height * mpl.ratio);\n", - " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n", - "\n", - " rubberband.attr('width', width);\n", - " rubberband.attr('height', height);\n", - " }\n", - "\n", - " // Set the figure to an initial 600x600px, this will subsequently be updated\n", - " // upon first draw.\n", - " this._resize_canvas(600, 600);\n", - "\n", - " // Disable right mouse context menu.\n", - " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n", - " return false;\n", - " });\n", - "\n", - " function set_focus () {\n", - " canvas.focus();\n", - " canvas_div.focus();\n", - " }\n", - "\n", - " window.setTimeout(set_focus, 100);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items) {\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) {\n", - " // put a spacer in here.\n", - " continue;\n", - " }\n", - " var button = $('<button/>');\n", - " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n", - " 'ui-button-icon-only');\n", - " button.attr('role', 'button');\n", - " button.attr('aria-disabled', 'false');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - "\n", - " var icon_img = $('<span/>');\n", - " icon_img.addClass('ui-button-icon-primary ui-icon');\n", - " icon_img.addClass(image);\n", - " icon_img.addClass('ui-corner-all');\n", - "\n", - " var tooltip_span = $('<span/>');\n", - " tooltip_span.addClass('ui-button-text');\n", - " tooltip_span.html(tooltip);\n", - "\n", - " button.append(icon_img);\n", - " button.append(tooltip_span);\n", - "\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " var fmt_picker_span = $('<span/>');\n", - "\n", - " var fmt_picker = $('<select/>');\n", - " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n", - " fmt_picker_span.append(fmt_picker);\n", - " nav_element.append(fmt_picker_span);\n", - " this.format_dropdown = fmt_picker[0];\n", - "\n", - " for (var ind in mpl.extensions) {\n", - " var fmt = mpl.extensions[ind];\n", - " var option = $(\n", - " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n", - " fmt_picker.append(option)\n", - " }\n", - "\n", - " // Add hover states to the ui-buttons\n", - " $( \".ui-button\" ).hover(\n", - " function() { $(this).addClass(\"ui-state-hover\");},\n", - " function() { $(this).removeClass(\"ui-state-hover\");}\n", - " );\n", - "\n", - " var status_bar = $('<span class=\"mpl-message\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "}\n", - "\n", - "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n", - " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", - " // which will in turn request a refresh of the image.\n", - " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n", - "}\n", - "\n", - "mpl.figure.prototype.send_message = function(type, properties) {\n", - " properties['type'] = type;\n", - " properties['figure_id'] = this.id;\n", - " this.ws.send(JSON.stringify(properties));\n", - "}\n", - "\n", - "mpl.figure.prototype.send_draw_message = function() {\n", - " if (!this.waiting) {\n", - " this.waiting = true;\n", - " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n", - " }\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " var format_dropdown = fig.format_dropdown;\n", - " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", - " fig.ondownload(fig, format);\n", - "}\n", - "\n", - "\n", - "mpl.figure.prototype.handle_resize = function(fig, msg) {\n", - " var size = msg['size'];\n", - " if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n", - " fig._resize_canvas(size[0], size[1]);\n", - " fig.send_message(\"refresh\", {});\n", - " };\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n", - " var x0 = msg['x0'] / mpl.ratio;\n", - " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n", - " var x1 = msg['x1'] / mpl.ratio;\n", - " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n", - " x0 = Math.floor(x0) + 0.5;\n", - " y0 = Math.floor(y0) + 0.5;\n", - " x1 = Math.floor(x1) + 0.5;\n", - " y1 = Math.floor(y1) + 0.5;\n", - " var min_x = Math.min(x0, x1);\n", - " var min_y = Math.min(y0, y1);\n", - " var width = Math.abs(x1 - x0);\n", - " var height = Math.abs(y1 - y0);\n", - "\n", - " fig.rubberband_context.clearRect(\n", - " 0, 0, fig.canvas.width, fig.canvas.height);\n", - "\n", - " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n", - " // Updates the figure title.\n", - " fig.header.textContent = msg['label'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n", - " var cursor = msg['cursor'];\n", - " switch(cursor)\n", - " {\n", - " case 0:\n", - " cursor = 'pointer';\n", - " break;\n", - " case 1:\n", - " cursor = 'default';\n", - " break;\n", - " case 2:\n", - " cursor = 'crosshair';\n", - " break;\n", - " case 3:\n", - " cursor = 'move';\n", - " break;\n", - " }\n", - " fig.rubberband_canvas.style.cursor = cursor;\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_message = function(fig, msg) {\n", - " fig.message.textContent = msg['message'];\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_draw = function(fig, msg) {\n", - " // Request the server to send over a new figure.\n", - " fig.send_draw_message();\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n", - " fig.image_mode = msg['mode'];\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Called whenever the canvas gets updated.\n", - " this.send_message(\"ack\", {});\n", - "}\n", - "\n", - "// A function to construct a web socket function for onmessage handling.\n", - "// Called in the figure constructor.\n", - "mpl.figure.prototype._make_on_message_function = function(fig) {\n", - " return function socket_on_message(evt) {\n", - " if (evt.data instanceof Blob) {\n", - " /* FIXME: We get \"Resource interpreted as Image but\n", - " * transferred with MIME type text/plain:\" errors on\n", - " * Chrome. But how to set the MIME type? It doesn't seem\n", - " * to be part of the websocket stream */\n", - " evt.data.type = \"image/png\";\n", - "\n", - " /* Free the memory for the previous frames */\n", - " if (fig.imageObj.src) {\n", - " (window.URL || window.webkitURL).revokeObjectURL(\n", - " fig.imageObj.src);\n", - " }\n", - "\n", - " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", - " evt.data);\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n", - " fig.imageObj.src = evt.data;\n", - " fig.updated_canvas_event();\n", - " fig.waiting = false;\n", - " return;\n", - " }\n", - "\n", - " var msg = JSON.parse(evt.data);\n", - " var msg_type = msg['type'];\n", - "\n", - " // Call the \"handle_{type}\" callback, which takes\n", - " // the figure and JSON message as its only arguments.\n", - " try {\n", - " var callback = fig[\"handle_\" + msg_type];\n", - " } catch (e) {\n", - " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n", - " return;\n", - " }\n", - "\n", - " if (callback) {\n", - " try {\n", - " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", - " callback(fig, msg);\n", - " } catch (e) {\n", - " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n", - " }\n", - " }\n", - " };\n", - "}\n", - "\n", - "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", - "mpl.findpos = function(e) {\n", - " //this section is from http://www.quirksmode.org/js/events_properties.html\n", - " var targ;\n", - " if (!e)\n", - " e = window.event;\n", - " if (e.target)\n", - " targ = e.target;\n", - " else if (e.srcElement)\n", - " targ = e.srcElement;\n", - " if (targ.nodeType == 3) // defeat Safari bug\n", - " targ = targ.parentNode;\n", - "\n", - " // jQuery normalizes the pageX and pageY\n", - " // pageX,Y are the mouse positions relative to the document\n", - " // offset() returns the position of the element relative to the document\n", - " var x = e.pageX - $(targ).offset().left;\n", - " var y = e.pageY - $(targ).offset().top;\n", - "\n", - " return {\"x\": x, \"y\": y};\n", - "};\n", - "\n", - "/*\n", - " * return a copy of an object with only non-object keys\n", - " * we need this to avoid circular references\n", - " * http://stackoverflow.com/a/24161582/3208463\n", - " */\n", - "function simpleKeys (original) {\n", - " return Object.keys(original).reduce(function (obj, key) {\n", - " if (typeof original[key] !== 'object')\n", - " obj[key] = original[key]\n", - " return obj;\n", - " }, {});\n", - "}\n", - "\n", - "mpl.figure.prototype.mouse_event = function(event, name) {\n", - " var canvas_pos = mpl.findpos(event)\n", - "\n", - " if (name === 'button_press')\n", - " {\n", - " this.canvas.focus();\n", - " this.canvas_div.focus();\n", - " }\n", - "\n", - " var x = canvas_pos.x * mpl.ratio;\n", - " var y = canvas_pos.y * mpl.ratio;\n", - "\n", - " this.send_message(name, {x: x, y: y, button: event.button,\n", - " step: event.step,\n", - " guiEvent: simpleKeys(event)});\n", - "\n", - " /* This prevents the web browser from automatically changing to\n", - " * the text insertion cursor when the button is pressed. We want\n", - " * to control all of the cursor setting manually through the\n", - " * 'cursor' event from matplotlib */\n", - " event.preventDefault();\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " // Handle any extra behaviour associated with a key event\n", - "}\n", - "\n", - "mpl.figure.prototype.key_event = function(event, name) {\n", - "\n", - " // Prevent repeat events\n", - " if (name == 'key_press')\n", - " {\n", - " if (event.which === this._key)\n", - " return;\n", - " else\n", - " this._key = event.which;\n", - " }\n", - " if (name == 'key_release')\n", - " this._key = null;\n", - "\n", - " var value = '';\n", - " if (event.ctrlKey && event.which != 17)\n", - " value += \"ctrl+\";\n", - " if (event.altKey && event.which != 18)\n", - " value += \"alt+\";\n", - " if (event.shiftKey && event.which != 16)\n", - " value += \"shift+\";\n", - "\n", - " value += 'k';\n", - " value += event.which.toString();\n", - "\n", - " this._key_event_extra(event, name);\n", - "\n", - " this.send_message(name, {key: value,\n", - " guiEvent: simpleKeys(event)});\n", - " return false;\n", - "}\n", - "\n", - "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n", - " if (name == 'download') {\n", - " this.handle_save(this, null);\n", - " } else {\n", - " this.send_message(\"toolbar_button\", {name: name});\n", - " }\n", - "};\n", - "\n", - "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n", - " this.message.textContent = tooltip;\n", - "};\n", - "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", - "\n", - "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", - "\n", - "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n", - " // Create a \"websocket\"-like object which calls the given IPython comm\n", - " // object with the appropriate methods. Currently this is a non binary\n", - " // socket, so there is still some room for performance tuning.\n", - " var ws = {};\n", - "\n", - " ws.close = function() {\n", - " comm.close()\n", - " };\n", - " ws.send = function(m) {\n", - " //console.log('sending', m);\n", - " comm.send(m);\n", - " };\n", - " // Register the callback with on_msg.\n", - " comm.on_msg(function(msg) {\n", - " //console.log('receiving', msg['content']['data'], msg);\n", - " // Pass the mpl event to the overriden (by mpl) onmessage function.\n", - " ws.onmessage(msg['content']['data'])\n", - " });\n", - " return ws;\n", - "}\n", - "\n", - "mpl.mpl_figure_comm = function(comm, msg) {\n", - " // This is the function which gets called when the mpl process\n", - " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", - "\n", - " var id = msg.content.data.id;\n", - " // Get hold of the div created by the display call when the Comm\n", - " // socket was opened in Python.\n", - " var element = $(\"#\" + id);\n", - " var ws_proxy = comm_websocket_adapter(comm)\n", - "\n", - " function ondownload(figure, format) {\n", - " window.open(figure.imageObj.src);\n", - " }\n", - "\n", - " var fig = new mpl.figure(id, ws_proxy,\n", - " ondownload,\n", - " element.get(0));\n", - "\n", - " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", - " // web socket which is closed, not our websocket->open comm proxy.\n", - " ws_proxy.onopen();\n", - "\n", - " fig.parent_element = element.get(0);\n", - " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n", - " if (!fig.cell_info) {\n", - " console.error(\"Failed to find cell for figure\", id, fig);\n", - " return;\n", - " }\n", - "\n", - " var output_index = fig.cell_info[2]\n", - " var cell = fig.cell_info[0];\n", - "\n", - "};\n", - "\n", - "mpl.figure.prototype.handle_close = function(fig, msg) {\n", - " var width = fig.canvas.width/mpl.ratio\n", - " fig.root.unbind('remove')\n", - "\n", - " // Update the output cell to use the data from the current canvas.\n", - " fig.push_to_output();\n", - " var dataURL = fig.canvas.toDataURL();\n", - " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", - " // the notebook keyboard shortcuts fail.\n", - " IPython.keyboard_manager.enable()\n", - " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n", - " fig.close_ws(fig, msg);\n", - "}\n", - "\n", - "mpl.figure.prototype.close_ws = function(fig, msg){\n", - " fig.send_message('closing', msg);\n", - " // fig.ws.close()\n", - "}\n", - "\n", - "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n", - " // Turn the data on the canvas into data in the output cell.\n", - " var width = this.canvas.width/mpl.ratio\n", - " var dataURL = this.canvas.toDataURL();\n", - " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n", - "}\n", - "\n", - "mpl.figure.prototype.updated_canvas_event = function() {\n", - " // Tell IPython that the notebook contents must change.\n", - " IPython.notebook.set_dirty(true);\n", - " this.send_message(\"ack\", {});\n", - " var fig = this;\n", - " // Wait a second, then push the new image to the DOM so\n", - " // that it is saved nicely (might be nice to debounce this).\n", - " setTimeout(function () { fig.push_to_output() }, 1000);\n", - "}\n", - "\n", - "mpl.figure.prototype._init_toolbar = function() {\n", - " var fig = this;\n", - "\n", - " var nav_element = $('<div/>')\n", - " nav_element.attr('style', 'width: 100%');\n", - " this.root.append(nav_element);\n", - "\n", - " // Define a callback function for later on.\n", - " function toolbar_event(event) {\n", - " return fig.toolbar_button_onclick(event['data']);\n", - " }\n", - " function toolbar_mouse_event(event) {\n", - " return fig.toolbar_button_onmouseover(event['data']);\n", - " }\n", - "\n", - " for(var toolbar_ind in mpl.toolbar_items){\n", - " var name = mpl.toolbar_items[toolbar_ind][0];\n", - " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", - " var image = mpl.toolbar_items[toolbar_ind][2];\n", - " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", - "\n", - " if (!name) { continue; };\n", - "\n", - " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n", - " button.click(method_name, toolbar_event);\n", - " button.mouseover(tooltip, toolbar_mouse_event);\n", - " nav_element.append(button);\n", - " }\n", - "\n", - " // Add the status bar.\n", - " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n", - " nav_element.append(status_bar);\n", - " this.message = status_bar[0];\n", - "\n", - " // Add the close button to the window.\n", - " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n", - " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n", - " button.click(function (evt) { fig.handle_close(fig, {}); } );\n", - " button.mouseover('Stop Interaction', toolbar_mouse_event);\n", - " buttongrp.append(button);\n", - " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n", - " titlebar.prepend(buttongrp);\n", - "}\n", - "\n", - "mpl.figure.prototype._root_extra_style = function(el){\n", - " var fig = this\n", - " el.on(\"remove\", function(){\n", - "\tfig.close_ws(fig, {});\n", - " });\n", - "}\n", - "\n", - "mpl.figure.prototype._canvas_extra_style = function(el){\n", - " // this is important to make the div 'focusable\n", - " el.attr('tabindex', 0)\n", - " // reach out to IPython and tell the keyboard manager to turn it's self\n", - " // off when our div gets focus\n", - "\n", - " // location in version 3\n", - " if (IPython.notebook.keyboard_manager) {\n", - " IPython.notebook.keyboard_manager.register_events(el);\n", - " }\n", - " else {\n", - " // location in version 2\n", - " IPython.keyboard_manager.register_events(el);\n", - " }\n", - "\n", - "}\n", - "\n", - "mpl.figure.prototype._key_event_extra = function(event, name) {\n", - " var manager = IPython.notebook.keyboard_manager;\n", - " if (!manager)\n", - " manager = IPython.keyboard_manager;\n", - "\n", - " // Check for shift+enter\n", - " if (event.shiftKey && event.which == 13) {\n", - " this.canvas_div.blur();\n", - " // select the cell after this one\n", - " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", - " IPython.notebook.select(index + 1);\n", - " }\n", - "}\n", - "\n", - "mpl.figure.prototype.handle_save = function(fig, msg) {\n", - " fig.ondownload(fig, null);\n", - "}\n", - "\n", - "\n", - "mpl.find_output_cell = function(html_output) {\n", - " // Return the cell and output element which can be found *uniquely* in the notebook.\n", - " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", - " // IPython event is triggered only after the cells have been serialised, which for\n", - " // our purposes (turning an active figure into a static one), is too late.\n", - " var cells = IPython.notebook.get_cells();\n", - " var ncells = cells.length;\n", - " for (var i=0; i<ncells; i++) {\n", - " var cell = cells[i];\n", - " if (cell.cell_type === 'code'){\n", - " for (var j=0; j<cell.output_area.outputs.length; j++) {\n", - " var data = cell.output_area.outputs[j];\n", - " if (data.data) {\n", - " // IPython >= 3 moved mimebundle to data attribute of output\n", - " data = data.data;\n", - " }\n", - " if (data['text/html'] == html_output) {\n", - " return [cell, data, j];\n", - " }\n", - " }\n", - " }\n", - " }\n", - "}\n", - "\n", - "// Register the function which deals with the matplotlib target/channel.\n", - "// The kernel may be null if the page has been refreshed.\n", - "if (IPython.notebook.kernel != null) {\n", - " 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\" width=\"640\">" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "captures = find_captures('cheap_rgb')\n", - "\n", - "# Approximate bands of interest for R, G and B channelsfor offset and stray light correction.\n", - "bands = {\n", - " 'red': (260,410), # [step]\n", - " 'green': (150,330),\n", - " 'blue': (100,260)\n", - "}\n", - "\n", - "# The wavelengths are from a random RGB LED datasheet and are just preliminary starting values.\n", - "# https://www.sparkfun.com/datasheets/Components/YSL-R596CR3G4B5C-C10.pdf\n", - "λ_led = {'red': 623, 'green': 518, 'blue': 466} # [nm] Assumed wavelengths of R, G and B spectral peaks.\n", - "λ_be = 400 # [nm] Approximate short-λ edge of blue band\n", - "y_edge_min = 0.5\n", - "transimpedance = 630e6 # Ohms.\n", - "\n", - "poly_degree = 1 # degree of polynomial for stray light and offset correction. Should be 1 or 2.\n", - "\n", - "#remove_thresh = 10.0 # [V] standard deviation delta threshold for outlier removal\n", - "\n", - "# ---\n", - "data_rgb = {}\n", - "for capture_id, color, gain in captures:\n", - " # Load this channel from the database\n", - " steps, values, stdev = load_run(capture_id, gain)\n", - " \n", - " # Remove outlier values whose standard deviation is much larger than that of their right and left neighbors\n", - " #idxs = (np.abs(stdev[1:-1] - stdev[0:-2]) < remove_thresh) |\\\n", - " # (np.abs(stdev[1:-1] - stdev[2:]) < remove_thresh)\n", - " #idxs = np.hstack([np.array([True]), idxs, np.array([True])])\n", - " #steps, values, stdev = steps[idxs], values[idxs], stdev[idxs]\n", - " \n", - " # Remove offset and stray light by fitting a second-order polynomial over the parts of the curve\n", - " # that are clearly *not* part of the primary peak.\n", - " l, r = bands[color]\n", - " idxs = (steps < l) | (steps > r)\n", - " poly = np.poly1d(np.polyfit(steps[idxs], values[idxs], poly_degree))\n", - " print('Poly for', color, 'channel')\n", - " print(poly)\n", - " values -= poly(steps)\n", - " \n", - " data_rgb[color] = (steps, values, stdev)\n", - "\n", - "\n", - "# Produce a first estimate for wavelength scaling. Use the short-wavelength edge of the blue band and the red peak\n", - "# for this, as both can be assumed to remain stable even after photodiode response compensation. Then apply photodiode\n", - "# response compensation and do another, second round of wavelength scaling estimation but this time using all three\n", - "# peaks and a proper least-squares fit.\n", - "peaks = { color: x[np.argmax(y)] for color, (x, y, σ2) in data_rgb.items() }\n", - "edgesl = { color: x[np.argmax(y > y_edge_min)] for color, (x, y, σ2) in data_rgb.items() }\n", - "\n", - "Λ_est = np.poly1d(np.polyfit([edgesl['blue'], peaks['red']], [λ_be, λ_led['red']], 1))\n", - "\n", - "data_tmp = { color: (x, Λ_est(x), y, σ2) for color, (x, y, σ2) in data_rgb.items() }\n", - "data_tmp = { color: (x, λ, y/Λ_sfh2701(λ), σ2) for color, (x, λ, y, σ2) in data_tmp.items() }\n", - "# Limit wavelength range\n", - "data_tmp = { color: (x[λ > 380], λ[λ > 380], y[λ > 380], σ2[λ > 380]) for color, (x, λ, y, σ2) in data_tmp.items() }\n", - "\n", - "# Calibrate wavelength axis using assumed peaks for r, g and b. Use least-squares polyfit for getting coefficients.\n", - "peaks = { color: x[np.argmax(y)] for color, (x, λ, y, σ2) in data_tmp.items() }\n", - "Λ = np.poly1d(np.polyfit(\n", - " [peaks['red'], peaks['green'], peaks['blue']],\n", - " [λ_led['red'], λ_led['green'], λ_led['blue']], 1))\n", - "\n", - "data_rgb = { color: (Λ(x), y, σ2) for color, (x, y, σ2) in data_rgb.items() }\n", - "data_rgb = { color: (λ, y/Λ_sfh2701(λ), σ2) for color, (λ, y, σ2) in data_rgb.items() }\n", - "\n", - "# Limit wavelength range to slightly-larger-than visible range. We're getting improbably large values in the\n", - "# utraviolet region that are probably caused by stray light.\n", - "data_rgb = { color: (λ[λ > 380], y[λ > 380], σ2[λ > 380]) for color, (λ, y, σ2) in data_rgb.items() }\n", - "\n", - "# Normalize amplitude data to brightest channel for ease of reading\n", - "#max_val = max(np.max(y) for λ, y, σ2 in data_rgb)\n", - "#data_rgb = [ (λ, y/max_val, σ2/max_val) for λ, y, σ2 in data_rgb ]\n", - "\n", - "# Convert amplitude data to current in nanoampère\n", - "data_rgb = { color: (λ, y/transimpedance / 1e-9, σ2/transimpedance / 1e-9) for color, (λ, y, σ2) in data_rgb.items() }\n", - "\n", - "plot_rgb_calibrated(data_rgb.values(), spline_s=0.005, save_svg='/tmp/processed_plot_cheap_rgb.svg')" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "# CIE XYZ Color matching functions from http://cvrl.ioo.ucl.ac.uk/\n", - "# rows are: λ[nm], x, y, z\n", - "CMFs = { fn[:-4]: np.genfromtxt(fn, delimiter=',')\n", - " for fn in ['cie_xyz_1931.csv', 'cie_xyz_judd_1951.csv', 'cie_xyz_judd_vos_1978.csv'] }\n", - "CMFs = { name: np.hstack([inter.interp1d(d[:,0], d[:,i]) for i in range(1,4)])\n", - " for name, d in CMFs.items() }" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def integrate_tristimulus_response(data, channels=('red', 'green', 'blue'), colorspace='cie_xyz_1931'):\n", - " a = np.array([[\n", - " integrate.simps(\n", - " np.multiply(CMFs[colorspace][j](data[color][0]), data[color][1]), data[color][0])\n", - " for j in range(3) ]\n", - " for color in channels ])\n", - " # normalize by largest component\n", - " return a / np.max(np.sum(a, axis=0))" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0.06995882, 0.02007191, -0.0260505 ],\n", - " [ 0.05310356, 0.0995779 , 0.03458726],\n", - " [ 0.16122952, 0.16639874, 0.99146324]])" - ] - }, - "execution_count": 120, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tristimulus_data = integrate_tristimulus_response(data_rgb)\n", - "tristimulus_data\n", - "#array([[ 3.46142003e-01, 1.73335974e-01, -7.18827590e-05],\n", - "# [ 9.01721797e-02, 1.69512416e-01, 2.15830281e-02],\n", - "# [ 1.75128165e-01, 2.49230694e-01, 9.78488855e-01]])" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [ - "def led_setpoint_from_xyz(x, y, z):\n", - " # returns [r, g, b] array.\n", - " # Note that many xyz tristimulus values cannot be produced because one component is outside [0, 1]\n", - " #return np.linalg.solve(tristimulus_data.T, np.array([x, y, z]))\n", - " return np.dot(np.linalg.inv(tristimulus_data.T), np.array([x, y, z]))" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 2.96363627, 1.00231926, 0.24462504])" - ] - }, - "execution_count": 122, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "led_setpoint_from_xyz(0.3, 0.2, 0.2)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.5" - } - }, - "nbformat": 4, - "nbformat_minor": 1 -} diff --git a/firmware/calc_framerate.py b/firmware/calc_framerate.py deleted file mode 100644 index aaedc4d..0000000 --- a/firmware/calc_framerate.py +++ /dev/null @@ -1,38 +0,0 @@ -#!/usr/bin/env python3 - -TIMER_FREQ = 30e6 # MHz - - -with open('main.c') as f: - lines = f.readlines() - -defs = {} -for line in lines: - if line.startswith('#define'): - _pragma, name, val, *_comment = line.split() - val = defs.get(val, val) - defs[name] = val - -print('Bit cycle timings:') -timings_total = 0 -in_array = False -for line in lines: - if not in_array: - if line.startswith('static uint16_t timer_period_lookup'): - in_array = True - else: - if '}' in line: - break - if ',' not in line: - continue - val, *_comment = line.split(',') - for name, defval in defs.items(): - val = val.replace(name, defval) - duration = eval(val) - print(duration) - timings_total += duration + int(defs['RESET_PERIOD_LENGTH']) - -total_len = timings_total/TIMER_FREQ -print('Total cycles:', timings_total) -print('Total cycle length: {:.3f}ms'.format(total_len*1e3)) -print('Frame rate: {:.3f}Hz'.format(1/total_len)) diff --git a/firmware/cie_xyz_1931.csv b/firmware/cie_xyz_1931.csv deleted file mode 100644 index 5f2c229..0000000 --- a/firmware/cie_xyz_1931.csv +++ /dev/null @@ -1,95 +0,0 @@ -360,0.000129900000,0.000003917000,0.000606100000 -365,0.000232100000,0.000006965000,0.001086000000 -370,0.000414900000,0.000012390000,0.001946000000 -375,0.000741600000,0.000022020000,0.003486000000 -380,0.001368000000,0.000039000000,0.006450001000 -385,0.002236000000,0.000064000000,0.010549990000 -390,0.004243000000,0.000120000000,0.020050010000 -395,0.007650000000,0.000217000000,0.036210000000 -400,0.014310000000,0.000396000000,0.067850010000 -405,0.023190000000,0.000640000000,0.110200000000 -410,0.043510000000,0.001210000000,0.207400000000 -415,0.077630000000,0.002180000000,0.371300000000 -420,0.134380000000,0.004000000000,0.645600000000 -425,0.214770000000,0.007300000000,1.039050100000 -430,0.283900000000,0.011600000000,1.385600000000 -435,0.328500000000,0.016840000000,1.622960000000 -440,0.348280000000,0.023000000000,1.747060000000 -445,0.348060000000,0.029800000000,1.782600000000 -450,0.336200000000,0.038000000000,1.772110000000 -455,0.318700000000,0.048000000000,1.744100000000 -460,0.290800000000,0.060000000000,1.669200000000 -465,0.251100000000,0.073900000000,1.528100000000 -470,0.195360000000,0.090980000000,1.287640000000 -475,0.142100000000,0.112600000000,1.041900000000 -480,0.095640000000,0.139020000000,0.812950100000 -485,0.057950010000,0.169300000000,0.616200000000 -490,0.032010000000,0.208020000000,0.465180000000 -495,0.014700000000,0.258600000000,0.353300000000 -500,0.004900000000,0.323000000000,0.272000000000 -505,0.002400000000,0.407300000000,0.212300000000 -510,0.009300000000,0.503000000000,0.158200000000 -515,0.029100000000,0.608200000000,0.111700000000 -520,0.063270000000,0.710000000000,0.078249990000 -525,0.109600000000,0.793200000000,0.057250010000 -530,0.165500000000,0.862000000000,0.042160000000 -535,0.225749900000,0.914850100000,0.029840000000 -540,0.290400000000,0.954000000000,0.020300000000 -545,0.359700000000,0.980300000000,0.013400000000 -550,0.433449900000,0.994950100000,0.008749999000 -555,0.512050100000,1.000000000000,0.005749999000 -560,0.594500000000,0.995000000000,0.003900000000 -565,0.678400000000,0.978600000000,0.002749999000 -570,0.762100000000,0.952000000000,0.002100000000 -575,0.842500000000,0.915400000000,0.001800000000 -580,0.916300000000,0.870000000000,0.001650001000 -585,0.978600000000,0.816300000000,0.001400000000 -590,1.026300000000,0.757000000000,0.001100000000 -595,1.056700000000,0.694900000000,0.001000000000 -600,1.062200000000,0.631000000000,0.000800000000 -605,1.045600000000,0.566800000000,0.000600000000 -610,1.002600000000,0.503000000000,0.000340000000 -615,0.938400000000,0.441200000000,0.000240000000 -620,0.854449900000,0.381000000000,0.000190000000 -625,0.751400000000,0.321000000000,0.000100000000 -630,0.642400000000,0.265000000000,0.000049999990 -635,0.541900000000,0.217000000000,0.000030000000 -640,0.447900000000,0.175000000000,0.000020000000 -645,0.360800000000,0.138200000000,0.000010000000 -650,0.283500000000,0.107000000000,0.000000000000 -655,0.218700000000,0.081600000000,0.000000000000 -660,0.164900000000,0.061000000000,0.000000000000 -665,0.121200000000,0.044580000000,0.000000000000 -670,0.087400000000,0.032000000000,0.000000000000 -675,0.063600000000,0.023200000000,0.000000000000 -680,0.046770000000,0.017000000000,0.000000000000 -685,0.032900000000,0.011920000000,0.000000000000 -690,0.022700000000,0.008210000000,0.000000000000 -695,0.015840000000,0.005723000000,0.000000000000 -700,0.011359160000,0.004102000000,0.000000000000 -705,0.008110916000,0.002929000000,0.000000000000 -710,0.005790346000,0.002091000000,0.000000000000 -715,0.004109457000,0.001484000000,0.000000000000 -720,0.002899327000,0.001047000000,0.000000000000 -725,0.002049190000,0.000740000000,0.000000000000 -730,0.001439971000,0.000520000000,0.000000000000 -735,0.000999949300,0.000361100000,0.000000000000 -740,0.000690078600,0.000249200000,0.000000000000 -745,0.000476021300,0.000171900000,0.000000000000 -750,0.000332301100,0.000120000000,0.000000000000 -755,0.000234826100,0.000084800000,0.000000000000 -760,0.000166150500,0.000060000000,0.000000000000 -765,0.000117413000,0.000042400000,0.000000000000 -770,0.000083075270,0.000030000000,0.000000000000 -775,0.000058706520,0.000021200000,0.000000000000 -780,0.000041509940,0.000014990000,0.000000000000 -785,0.000029353260,0.000010600000,0.000000000000 -790,0.000020673830,0.000007465700,0.000000000000 -795,0.000014559770,0.000005257800,0.000000000000 -800,0.000010253980,0.000003702900,0.000000000000 -805,0.000007221456,0.000002607800,0.000000000000 -810,0.000005085868,0.000001836600,0.000000000000 -815,0.000003581652,0.000001293400,0.000000000000 -820,0.000002522525,0.000000910930,0.000000000000 -825,0.000001776509,0.000000641530,0.000000000000 -830,0.000001251141,0.000000451810,0.000000000000
\ No newline at end of file diff --git a/firmware/cie_xyz_judd_1951.csv b/firmware/cie_xyz_judd_1951.csv deleted file mode 100644 index 288ec18..0000000 --- a/firmware/cie_xyz_judd_1951.csv +++ /dev/null @@ -1,41 +0,0 @@ -370,0.0008,0.0001,0.0046 -380,0.0045,0.0004,0.0224 -390,0.0201,0.0015,0.0925 -400,0.0611,0.0045,0.2799 -410,0.1267,0.0093,0.5835 -420,0.2285,0.0175,1.0622 -430,0.3081,0.0273,1.4526 -440,0.3312,0.0379,1.6064 -450,0.2888,0.0468,1.4717 -460,0.2323,0.0600,1.2880 -470,0.1745,0.0910,1.1133 -480,0.0920,0.1390,0.7552 -490,0.0318,0.2080,0.4461 -500,0.0048,0.3230,0.2644 -510,0.0093,0.5030,0.1541 -520,0.0636,0.7100,0.0763 -530,0.1668,0.8620,0.0412 -540,0.2926,0.9540,0.0200 -550,0.4364,0.9950,0.0088 -560,0.5970,0.9950,0.0039 -570,0.7642,0.9520,0.0020 -580,0.9159,0.8700,0.0016 -590,1.0225,0.7570,0.0011 -600,1.0544,0.6310,0.0007 -610,0.9922,0.5030,0.0003 -620,0.8432,0.3810,0.0002 -630,0.6327,0.2650,0.0001 -640,0.4404,0.1750,0.0000 -650,0.2787,0.1070,0.0000 -660,0.1619,0.0610,0.0000 -670,0.0858,0.0320,0.0000 -680,0.0459,0.0170,0.0000 -690,0.0222,0.0082,0.0000 -700,0.0113,0.0041,0.0000 -710,0.0057,0.0021,0.0000 -720,0.0028,0.0011,0.0000 -730,0.0015,0.0005,0.0000 -740,0.0005,0.0002,0.0000 -750,0.0003,0.0001,0.0000 -760,0.0002,0.0001,0.0000 -770,0.0001,0.0000,0.0000
\ No newline at end of file diff --git a/firmware/cie_xyz_judd_vos_1978.csv b/firmware/cie_xyz_judd_vos_1978.csv deleted file mode 100644 index 8ab7bc0..0000000 --- a/firmware/cie_xyz_judd_vos_1978.csv +++ /dev/null @@ -1,90 +0,0 @@ -380,2.689900e-003,2.000000e-004,1.226000e-002 -385,5.310500e-003,3.955600e-004,2.422200e-002 -390,1.078100e-002,8.000000e-004,4.925000e-002 -395,2.079200e-002,1.545700e-003,9.513500e-002 -400,3.798100e-002,2.800000e-003,1.740900e-001 -405,6.315700e-002,4.656200e-003,2.901300e-001 -410,9.994100e-002,7.400000e-003,4.605300e-001 -415,1.582400e-001,1.177900e-002,7.316600e-001 -420,2.294800e-001,1.750000e-002,1.065800e+000 -425,2.810800e-001,2.267800e-002,1.314600e+000 -430,3.109500e-001,2.730000e-002,1.467200e+000 -435,3.307200e-001,3.258400e-002,1.579600e+000 -440,3.333600e-001,3.790000e-002,1.616600e+000 -445,3.167200e-001,4.239100e-002,1.568200e+000 -450,2.888200e-001,4.680000e-002,1.471700e+000 -455,2.596900e-001,5.212200e-002,1.374000e+000 -460,2.327600e-001,6.000000e-002,1.291700e+000 -465,2.099900e-001,7.294200e-002,1.235600e+000 -470,1.747600e-001,9.098000e-002,1.113800e+000 -475,1.328700e-001,1.128400e-001,9.422000e-001 -480,9.194400e-002,1.390200e-001,7.559600e-001 -485,5.698500e-002,1.698700e-001,5.864000e-001 -490,3.173100e-002,2.080200e-001,4.466900e-001 -495,1.461300e-002,2.580800e-001,3.411600e-001 -500,4.849100e-003,3.230000e-001,2.643700e-001 -505,2.321500e-003,4.054000e-001,2.059400e-001 -510,9.289900e-003,5.030000e-001,1.544500e-001 -515,2.927800e-002,6.081100e-001,1.091800e-001 -520,6.379100e-002,7.100000e-001,7.658500e-002 -525,1.108100e-001,7.951000e-001,5.622700e-002 -530,1.669200e-001,8.620000e-001,4.136600e-002 -535,2.276800e-001,9.150500e-001,2.935300e-002 -540,2.926900e-001,9.540000e-001,2.004200e-002 -545,3.622500e-001,9.800400e-001,1.331200e-002 -550,4.363500e-001,9.949500e-001,8.782300e-003 -555,5.151300e-001,1.000100e+000,5.857300e-003 -560,5.974800e-001,9.950000e-001,4.049300e-003 -565,6.812100e-001,9.787500e-001,2.921700e-003 -570,7.642500e-001,9.520000e-001,2.277100e-003 -575,8.439400e-001,9.155800e-001,1.970600e-003 -580,9.163500e-001,8.700000e-001,1.806600e-003 -585,9.770300e-001,8.162300e-001,1.544900e-003 -590,1.023000e+000,7.570000e-001,1.234800e-003 -595,1.051300e+000,6.948300e-001,1.117700e-003 -600,1.055000e+000,6.310000e-001,9.056400e-004 -605,1.036200e+000,5.665400e-001,6.946700e-004 -610,9.923900e-001,5.030000e-001,4.288500e-004 -615,9.286100e-001,4.417200e-001,3.181700e-004 -620,8.434600e-001,3.810000e-001,2.559800e-004 -625,7.398300e-001,3.205200e-001,1.567900e-004 -630,6.328900e-001,2.650000e-001,9.769400e-005 -635,5.335100e-001,2.170200e-001,6.894400e-005 -640,4.406200e-001,1.750000e-001,5.116500e-005 -645,3.545300e-001,1.381200e-001,3.601600e-005 -650,2.786200e-001,1.070000e-001,2.423800e-005 -655,2.148500e-001,8.165200e-002,1.691500e-005 -660,1.616100e-001,6.100000e-002,1.190600e-005 -665,1.182000e-001,4.432700e-002,8.148900e-006 -670,8.575300e-002,3.200000e-002,5.600600e-006 -675,6.307700e-002,2.345400e-002,3.954400e-006 -680,4.583400e-002,1.700000e-002,2.791200e-006 -685,3.205700e-002,1.187200e-002,1.917600e-006 -690,2.218700e-002,8.210000e-003,1.313500e-006 -695,1.561200e-002,5.772300e-003,9.151900e-007 -700,1.109800e-002,4.102000e-003,6.476700e-007 -705,7.923300e-003,2.929100e-003,4.635200e-007 -710,5.653100e-003,2.091000e-003,3.330400e-007 -715,4.003900e-003,1.482200e-003,2.382300e-007 -720,2.825300e-003,1.047000e-003,1.702600e-007 -725,1.994700e-003,7.401500e-004,1.220700e-007 -730,1.399400e-003,5.200000e-004,8.710700e-008 -735,9.698000e-004,3.609300e-004,6.145500e-008 -740,6.684700e-004,2.492000e-004,4.316200e-008 -745,4.614100e-004,1.723100e-004,3.037900e-008 -750,3.207300e-004,1.200000e-004,2.155400e-008 -755,2.257300e-004,8.462000e-005,1.549300e-008 -760,1.597300e-004,6.000000e-005,1.120400e-008 -765,1.127500e-004,4.244600e-005,8.087300e-009 -770,7.951300e-005,3.000000e-005,5.834000e-009 -775,5.608700e-005,2.121000e-005,4.211000e-009 -780,3.954100e-005,1.498900e-005,3.038300e-009 -785,2.785200e-005,1.058400e-005,2.190700e-009 -790,1.959700e-005,7.465600e-006,1.577800e-009 -795,1.377000e-005,5.259200e-006,1.134800e-009 -800,9.670000e-006,3.702800e-006,8.156500e-010 -805,6.791800e-006,2.607600e-006,5.862600e-010 -810,4.770600e-006,1.836500e-006,4.213800e-010 -815,3.355000e-006,1.295000e-006,3.031900e-010 -820,2.353400e-006,9.109200e-007,2.175300e-010 -825,1.637700e-006,6.356400e-007,1.547600e-010
\ No newline at end of file diff --git a/firmware/gen_cmsis_exports.py b/firmware/gen_cmsis_exports.py deleted file mode 100644 index ba3422b..0000000 --- a/firmware/gen_cmsis_exports.py +++ /dev/null @@ -1,30 +0,0 @@ -#!/usr/bin/env python3 -import re -import os - -if __name__ == '__main__': - import argparse - - parser = argparse.ArgumentParser() - parser.add_argument('cmsis_device_header', nargs='+', type=argparse.FileType('rb')) - args = parser.parse_args() - - print('#ifndef __GENERATED_CMSIS_HEADER_EXPORTS__') - print('#define __GENERATED_CMSIS_HEADER_EXPORTS__') - print() - for header in args.cmsis_device_header: - lines = header.readlines() - name = os.path.basename(header.name) - print('#include <{}>'.format(name)) - print() - - print('/* {} */'.format(name)) - for l in lines: - match = re.match(b'^#define (\w+)\s+\W*(\w+_TypeDef|\w+_Type).*$', l) - if match: - inst, typedef = match.groups() - inst, typedef = inst.decode(), typedef.decode() - print('{} *{} = {};'.format(typedef, inst.lower(), inst)) - print() - print('#endif//__GENERATED_CMSIS_HEADER_EXPORTS__') - diff --git a/firmware/ltspice_plot.py b/firmware/ltspice_plot.py deleted file mode 100755 index 38145d9..0000000 --- a/firmware/ltspice_plot.py +++ /dev/null @@ -1,137 +0,0 @@ -#!/usr/bin/env python3 - -from matplotlib import pyplot as plt -import numpy as np -import ast -import re -import csv -import math - -MULTIPLIERS = { - 'a': 1e-18, - 'f': 1e-15, - 'p': 1e-12, - 'n': 1e-9, - 'u': 1e-6, - 'µ': 1e-6, - 'm': 1e-3, - 'k': 1e3, - 'M': 1e6, - 'G': 1e9, - 'T': 1e12, - 'P': 1e15, - 'E': 1e18, -} - -def load_ltspice_csv(filename): - with open(filename) as f: - reader = csv.DictReader(f, delimiter='\t') - fieldnames = reader.fieldnames - return np.array([ [float(field) for field in line.values()] for line in reader ]), fieldnames - -def parse_unit(val, **units): - for unit, scale in units.items(): - if val.endswith(unit): - val = val[:-len(unit)] - break - else: - scale = 1.0 - - if val[0] == '!': - val = '-'+val[1:] - - try: - return float(val)*scale - except: - match = re.match(r'(-?[0-9]*(\.[0-9]+)?)([afpnuµmkMGTPE])', val) - if not match: - raise ValueError(f'Invalid value: {val}') - - val, _, suffix = match.groups() - return float(val) * MULTIPLIERS[suffix] * scale - -def parse_range(text, sep='-', **units): - if text: - start, _, end = text.partition(sep) - return parse_unit(start, **units), parse_unit(end, **units) if end else math.inf - else: - return 0, math.inf - -def apply_style(ax): - ax.spines['top'].set_visible(False) - ax.spines['right'].set_visible(False) - ax.spines['bottom'].set_color('#08bdf9') - ax.spines['left'].set_color('#08bdf9') - ax.tick_params(axis='x', colors='#01769D') - ax.tick_params(axis='y', colors='#01769D') - ax.xaxis.label.set_color('#01769D') - ax.yaxis.label.set_color('#01769D') - ax.grid(color='#08bdf9', linestyle=':') - - -if __name__ == '__main__': - import argparse - import os - parser = argparse.ArgumentParser() - parser.add_argument('input_txt', action='store', nargs='+', help='LTSpice .txt data export') - parser.add_argument('-o', '--output', help='Output SVG file. Defaults to <input file name>.svg.', default=None, nargs='?') - parser.add_argument('-s', '--span', default=None, help='Time span to plot, format: [time][unit]{-[time][unit]}') - parser.add_argument('-c', '--channels', default=[None], action='store', nargs='*', help='List of channels to plot. Comma-separated 0-based indices or signal names. Use multiple times for vertically-stacked subplots.') - parser.add_argument('-x', '--xlabel', default='$t\;(\mu s)$', help='Time axis label') - parser.add_argument('-y', '--ylabel', default=[None]*100, action='store', nargs='*', help='Y axis labels. Use multiple times for subplots.') - parser.add_argument('-r', '--yrange', default=[None]*100, action='store', nargs='*', help='Value ranges for y axes. Use multiple times for subplots. Use ! instead of prefix minus sign.') - parser.add_argument('-t', '--timescale', default='1us', help='Time axis unit') - parser.add_argument('--subplot-title', default=[None]*100, action='store', nargs='*', help='Subplot titles') - parser.add_argument('-f', '--figure-size', default='8x6', help='Plot size in [x]x[y] inches') - args = parser.parse_args() - - start, end = parse_range(args.span, s=1) - timescale = parse_unit(args.timescale, s=1) - - inputs = [] - for filename in args.input_txt: - data, fieldnames = load_ltspice_csv(filename) - data = data[(data[:,0] > start) & (data[:,0] < end)] - data[:,0] = (data[:,0] - start) / timescale - inputs.append((data, fieldnames)) - - fig, axs = plt.subplots(len(args.channels), 1, squeeze=False, sharex=True, figsize=parse_range(args.figure_size, sep='x')) - - for row, (ax, channelspec) in enumerate(zip(axs.flatten(), args.channels)): - channels = channelspec.split(',') if args.channels else range(0, 1000) - - apply_style(ax) - - n_plotted = 0 - name_plotted = 'V(out)' - for k, (data, fieldnames) in enumerate(inputs): - for i, name in enumerate(fieldnames[1:], start=1): - if not any(x in channels for x in [i, f'{i}', f'{k}:{i}', f'{name}', f'{k}:{name}']): - print(f'Not plotting channel {i} "{name}"') - continue - print(f'Plotting channel {i} "{name}"') - ax.plot(data[:,0], data[:,i], color='#fe3ea0') - n_plotted += 1 - name_plotted = name - - if args.yrange[row]: - ax.set_ylim(parse_range(args.yrange[row], A=1, V=1)) - - if args.ylabel[row]: - ax.set_ylabel(args.ylabel[row]) - else: # Guess label - unit = {'V': 'V', 'I': 'A'}[name_plotted[0]] - if n_plotted == 1: - ax.set_ylabel(f'${name_plotted}\;({unit})$') - else: - ax.set_ylabel(f'${name_plotted[0]}\;({unit})$') - - if args.subplot_title[row] not in (None, '<none>'): - ax.set_title(args.subplot_title[row], color='#fe3ea0', fontname='Fredoka One') - - outfile = args.output if args.output else os.path.splitext(args.input_txt[0])[0] + '.svg' - - if args.xlabel: - axs.flatten()[-1].set_xlabel(args.xlabel) - plt.tight_layout() - fig.savefig(outfile) diff --git a/firmware/measure_spectrum.py b/firmware/measure_spectrum.py deleted file mode 100644 index 70f4e9b..0000000 --- a/firmware/measure_spectrum.py +++ /dev/null @@ -1,122 +0,0 @@ -#!/usr/bin/env python3 - -import time -import statistics -import sqlite3 -from datetime import datetime - -from pyBusPirateLite import BitBang - -if __name__ == '__main__': - import argparse - - parser = argparse.ArgumentParser() - parser.add_argument('-s', '--steps', type=int, nargs='?', default=400, help='Steps to run through') - parser.add_argument('-k', '--skip', type=int, nargs='?', default=2, help='Steps skip between measurements for shorter runtime') - parser.add_argument('-d', '--database', default='spectra.sqlite3', help='sqlite3 database file to store results in') - parser.add_argument('-w', '--wait', type=float, default=2.0, help='time to wait between samples in seconds') - parser.add_argument('-o', '--oversample', type=int, default=32, help='oversampling ratio') - parser.add_argument('-g', '--gain', type=float, default=None, help='Transimpedance gain of amplifier in MOhm') - parser.add_argument('-c', '--comment', help='run comment') - parser.add_argument('-p', '--port', default='/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_AD01W1RF-if00-port0', help='Serial port device of the control buspirate') - parser.add_argument('run_name', nargs='?', default='auto') - parser.add_argument('color', help='Captured color channel') - args = parser.parse_args() - - db = sqlite3.connect(args.database) - db.execute(""" - CREATE TABLE IF NOT EXISTS runs ( - capture_id INTEGER PRIMARY KEY, - name TEXT, - comment TEXT, - color TEXT, -- Captured color channel - gain REAL, -- Preamplifier transimpedance in Ohms - timestamp REAL -- unix timestamp in fractional seconds - )""") - db.execute(""" - CREATE TABLE IF NOT EXISTS measurements ( - measurement_id INTEGER PRIMARY KEY, - capture_id INTEGER, - led_on INTEGER, - step INTEGER, - voltage REAL, -- volts - voltage_stdev REAL, -- volts - timestamp REAL, -- unix timestamp in fractional seconds - FOREIGN KEY (capture_id) REFERENCES runs)""") - - class BPState: - def __init__(self, port): - self.bp = BitBang(port) - self._led = 0 - self._stepper_dir = 'down' - self.reinit() - - def reinit(self): - self.bp.enter_bb() - self.led(self._led) - self.stepper_direction(self._stepper_dir) - self.bp.cs = 0 - - def led(self, st): - self._led = st - self.bp.mosi = st - - def stepper_direction(self, direction): - self._stepper_dir = direction - self.bp.aux = 0 if direction == 'down' else 1 - - def step(self): - self.bp.cs = 1 - time.sleep(0.005) - self.bp.cs = 0 - time.sleep(0.005) - - def adc(self, oversampling): - self.reinit() - return [ self.bp.adc_value for _ in range(oversampling) ] - - bp = BPState(args.port) - - with db: - cur = db.cursor() - cur.execute('INSERT INTO runs(name, comment, color, gain, timestamp) VALUES (?, ?, ?, ?, ?)', - (args.run_name, args.comment, args.color, args.gain*1e6, time.time())) - capture_id = cur.lastrowid - - print('Starting capture {} "{}" at {:%y-%m-%d %H:%M:%S:%f}'.format(capture_id, args.run_name, datetime.now())) - print('[measurement id] " " [step number] " " [reading (V)]') - - bp.stepper_direction('down') - for _ in range(10): - bp.step() - - bp.stepper_direction('up') - for step in range(0, args.steps+args.skip, args.skip): # Run one skip past end to capture both interval boundaries - for led_val in [1]: # This can be used for self-calibration. - try: - bp.led(led_val) - time.sleep(args.wait) - - readings = bp.adc(args.oversample) - mean, stdev = statistics.mean(readings), statistics.stdev(readings) - - with db: - cur = db.cursor() - cur.execute(''' - INSERT INTO measurements ( - capture_id, led_on, step, voltage, voltage_stdev, timestamp - ) VALUES (?, ?, ?, ?, ?, ?)''', - (capture_id, led_val, step, mean, stdev, time.time())) - print('{:08d} {:03} {}: {:5.4f} stdev {:5.4f}'.format( - cur.lastrowid, step, led_val, mean, stdev)) - except KeyboardInterrupt: - raise - except TypeError as e: - print('Buspirate hiccup, ignoring:', e) - for _ in range(args.skip): - bp.step() - - bp.stepper_direction('down') - for _ in range(args.steps+args.skip): - bp.step() - diff --git a/firmware/offset_test.py b/firmware/offset_test.py deleted file mode 100644 index f2b8b2f..0000000 --- a/firmware/offset_test.py +++ /dev/null @@ -1,131 +0,0 @@ -#!/usr/bin/env python3 - -import time -import statistics -import sqlite3 -from olsndot import Olsndot, Driver -from datetime import datetime - -from pyBusPirateLite import Buspirate - -if __name__ == '__main__': - import argparse - - parser = argparse.ArgumentParser() - parser.add_argument('run_name', nargs='?', default='auto') - parser.add_argument('olsndot_port', nargs='?', default='/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_A50285BI-if00-port0') - parser.add_argument('buspirate_port', nargs='?', default='/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_AD01W1RF-if00-port0') - parser.add_argument('-c', '--channels', nargs='?', default='auto', help='olsndot channels to test, format: 0-3,5,7,8-10') - parser.add_argument('-d', '--database', default='results.sqlite3', help='sqlite3 database file to store results in') - parser.add_argument('-m', '--mac', type=int, default=0xDEBE10BB, help='olsndot MAC address') - parser.add_argument('-w', '--wait', type=float, default=0.1, help='time to wait between samples in seconds') - parser.add_argument('-o', '--oversample', type=int, default=16, help='oversampling ratio') - parser.add_argument('-b', '--bits', type=int, default=None, help='number of bits to sample') - args = parser.parse_args() - - db = sqlite3.connect(args.database) - db.execute(""" - CREATE TABLE IF NOT EXISTS runs ( - run_id INTEGER PRIMARY KEY, - name TEXT, - comment TEXT, - uut_mac TEXT, -- hex-string formatted 32-bit mac of the uut - timestamp REAL -- unix timestamp in fractional seconds - )""") - db.execute(""" - CREATE TABLE IF NOT EXISTS measurements ( - measurement_id INTEGER PRIMARY KEY, - run_id INTEGER, - channel INTEGER, - duty_cycle REAL, -- setpoint duty cycle as a float between 0.0 and 1.0 - voltage REAL, -- volts - voltage_stdev REAL, -- volts - timestamp REAL, -- unix timestamp in fractional seconds - FOREIGN KEY (run_id) REFERENCES runs)""") - - bp = Buspirate(args.buspirate_port) - bp.power_on = True - - uut = Olsndot(args.mac) - d = Driver(args.olsndot_port, devices=[uut]) - print('Connected to uut:', uut) - - run_name = args.run_name - if not str.isnumeric(args.run_name[-1]): - names = [ n[len(run_name):] for n, in db.execute( - 'SELECT name FROM runs WHERE name LIKE ?||"%"', (run_name,)).fetchall() ] - names.append('0') # in case we get no results - run_name += str(1+max(int(n) if str.isnumeric(n) else 0 for n in names)) - with db: - cur = db.cursor() - cur.execute('INSERT INTO runs(name, uut_mac, timestamp) VALUES (?, ?, ?)', - (run_name, args.mac, time.time())) - run_id = cur.lastrowid - - nbits = args.bits if args.bits is not None else uut.nbits - - def parse_channels(channels): - for spec in channels.split(','): - if str.isnumeric(spec): - yield int(spec) - else: - low, high = spec.split('-') - yield from range(int(low), int(high)+1) - if args.channels == 'auto': - for i in range(uut.nchannels): - fb = [0]*uut.nchannels - fb[i] = 0xffff; - uut.send_framebuf(fb) - time.sleep(0.2) - if bp.adc_value > 0.5: - break; - else: - raise ValueError('Cannot find active channel') - channels = [i] - else: - channels = list(parse_channels(args.channels)) - - print('Starting run {} "{}" at {:%y-%m-%d %H:%M:%S:%f}'.format(run_id, run_name, datetime.now())) - print('mac={:08x} channels={}'.format(args.mac, ','.join('{:02d}'.format(ch) for ch in channels))) - print('[measurement id] " " [hex setpoint value] "(" [float duty cycle] ")" " " [reading (V)]') - - # zero cal - uut.send_framebuf([0]*uut.nchannels) - time.sleep(args.wait) - readings = [ bp.adc_value for _ in range(args.oversample) ] - zero_mean, stdev = statistics.mean(readings), statistics.stdev(readings) - cur.execute(''' - INSERT INTO measurements ( - run_id, channel, duty_cycle, voltage, voltage_stdev, timestamp - ) VALUES (?, -1, 0, ?, ?, ?)''', - (run_id, zero_mean, stdev, time.time())) - print('Zero cal: {:5.4f}V stdev={:5.4f}V'.format(zero_mean, stdev)) - - for ch in channels: - for i in range(nbits): - fb = [0]*uut.nchannels - val = 1<<i - duty_cycle = val/(2**uut.nbits) - extra_shift = 16-uut.nbits - val <<= extra_shift - - fb[ch] = val - uut.send_framebuf(fb) - - time.sleep(args.wait) - readings = [ bp.adc_value for _ in range(args.oversample) ] - mean, stdev = statistics.mean(readings), statistics.stdev(readings) - - with db: - cur = db.cursor() - cur.execute(''' - INSERT INTO measurements ( - run_id, channel, duty_cycle, voltage, voltage_stdev, timestamp - ) VALUES (?, ?, ?, ?, ?, ?)''', - (run_id, ch, duty_cycle, mean, stdev, time.time())) - print('{:08d} ch={} {:04x}({:6.5f}): {:5.4f} stdev {:5.4f}'.format( - cur.lastrowid, ch, val, duty_cycle, mean-zero_mean, stdev)) - - uut.send_framebuf([0]*uut.nchannels) - bp.power_on = False - diff --git a/firmware/olsndot.py b/firmware/olsndot.py deleted file mode 100644 index 557226a..0000000 --- a/firmware/olsndot.py +++ /dev/null @@ -1,126 +0,0 @@ -#!/usr/bin/env python3 - -import serial -import struct -from cobs import cobs -from collections import namedtuple -from enum import Enum -import time - -EOP = b'\0' - -#def cobs_encode(data): -# return b''.join(bytes([len(x)+1]) + x for x in data.split(EOP)) -# -#def cobs_decode(data): -# out = b'' -# while data: -# n, *rest = data -# out += b'\0' + bytes(rest[:n-1]) -# data = rest[n-1:] -# return out[1:] - -def address_pkt(addr): - return struct.pack('<I', addr) - -def framebuf_pkt(data): - return struct.pack('<32I', data) - -class Driver: - type_drivers = {} - - def __init__(self, port, devices=None, addrs=None, baudrate=500000, timeout=0.100): - self._ser = serial.Serial(port, baudrate) - self._ser.write(b'\0') - self._ser.flushInput() - self.timeout = timeout - if addrs is not None: - self.nodes = [ type_drivers[device_type](addr, self) for addr, device_type in addrs ] - if devices is not None: - for dev in devices: - dev.driver = self - self.nodes = devices - - def probe_devices(self): - while True: - self._ser.write(b'\x00') - addr, device_type = self.recv_struct('IB', timeout=0.010) - yield addr, device_type, self.type_drivers.get[device_type] - time.sleep(0.010) - - def recv_struct(self, fmt, timeout=None): - self._ser.timeout = self.timeout if timeout is None else timeout - data = self._ser.read_until(b'\0') - return struct.unpack('<'+fmt, cobs.decode(data[:-1])) - - def send_struct(self, fmt, *args): - data = struct.pack('<'+fmt, *args) - self._ser.write(cobs.encode(data)+EOP) - - @classmethod - def register_device(drv_kls, device_type): - def wrapper(dev_kls): - drv_kls.type_drivers[device_type] = dev_kls - return dev_kls - return wrapper - -@Driver.register_device(device_type=0x01) -class Olsndot: - CMD_READ_STATUS = 0x01 - - class ColorSpec(Enum): - white = 0X00 - single_color = 0X01 - rgb = 0X02 - rgbw = 0X03 - cold_warm_white = 0X04 - wwa = 0x05 - - def __init__(self, addr, driver=None): - self.addr = addr - self._driver = driver - - @property - def driver(self): - return self._driver - - @driver.setter - def driver(self, driver): - self._driver = driver - self.fetch_status() - - def send_framebuf(self, data): - self._driver.send_struct('I', self.addr) - self._driver.send_struct('{}{}'.format(self.nchannels, self.channel_spec), *data) - - def send_cmd(self, cmd): - self._driver.send_struct('I', self.addr) - self._driver.send_struct('B', cmd) - - Status = namedtuple('Status', - ['uptime_s', 'uart_overruns', 'frame_overruns', 'invalid_frames', 'vcc_mv', 'temp_celsius']) - def fetch_status(self): - self.send_cmd(Olsndot.CMD_READ_STATUS) - (self.fw_ver, self.hw_ver, - self.nbits, chspec, cs, self.nchannels, - uptime_s, - uart_overruns, frame_overruns, invalid_frames, - vcc_mv, temp_celsius) = self._driver.recv_struct('BBBBBHIIIIHH') - self.color_spec = Olsndot.ColorSpec(cs) - self.channel_spec = chr(chspec) - return Olsndot.Status(uptime_s, uart_overruns, frame_overruns, invalid_frames, vcc_mv, temp_celsius) - - def __str__(self): - st = self.fetch_status() - return '<Olsndot {}.{}@{} {}ch*{} up {}s vcc {:4.3}V temp {}C>'.format( - self.fw_ver, self.hw_ver, self.addr, self.nchannels, self.channel_format, - st.uptime_s, st.vcc_mv/1000, st.temp_celsius) - - @property - def channel_format(self): - return '{}{}'.format(self.color_spec.name, self.nbits) - -if __name__ == '__main__': - d = Driver('/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_A50285BI-if00-port0') - for addr, tid, drv in d.probe_devices(): - print(addr, tid, drv) diff --git a/firmware/spectra.sqlite3 b/firmware/spectra.sqlite3 Binary files differdeleted file mode 100644 index 00fa710..0000000 --- a/firmware/spectra.sqlite3 +++ /dev/null diff --git a/firmware/spectrum_progress.py b/firmware/spectrum_progress.py deleted file mode 100644 index 35a9d65..0000000 --- a/firmware/spectrum_progress.py +++ /dev/null @@ -1,36 +0,0 @@ -#!/usr/bin/env python3 -import sqlite3 -import argparse -import time - -import tqdm - -if __name__ == '__main__': - parser = argparse.ArgumentParser() - parser.add_argument('-d', '--database', nargs='?', default='spectra.sqlite3') - parser.add_argument('-u', '--update-delay', nargs='?', type=float, default=1.0) - parser.add_argument('max_step', nargs='?', type=int, default=250) - args = parser.parse_args() - - db = sqlite3.connect(args.database) - def current_step(): - step, = db.execute( - 'SELECT MAX(step) FROM measurements WHERE run_id = (SELECT MAX(run_id) FROM runs)' - ).fetchone() - return int(step) - - def step_gen(): - while True: - step = current_step() - yield step - if step >= args.max_step: - break - 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-7.000000000000000e-006 2.118642e-003 4.769394e+000 2.081323e-004 diff --git a/firmware/spice_sims/overshoot_simulation.asc b/firmware/spice_sims/overshoot_simulation.asc deleted file mode 100644 index 00aa80b..0000000 --- a/firmware/spice_sims/overshoot_simulation.asc +++ /dev/null @@ -1,96 +0,0 @@ -Version 4 -SHEET 1 880 680 -WIRE 368 -448 192 -448 -WIRE 368 -416 368 -448 -WIRE 192 -288 192 -448 -WIRE 192 -176 192 -208 -WIRE 368 -96 368 -144 -WIRE 592 -96 368 -96 -WIRE 368 16 368 -16 -WIRE 368 112 368 96 -WIRE 416 112 368 112 -WIRE 592 112 416 112 -WIRE 656 112 656 -96 -WIRE 368 144 368 112 -WIRE 656 176 656 112 -WIRE -32 224 -96 224 -WIRE 80 224 48 224 -WIRE 192 224 160 224 -WIRE 320 224 272 224 -WIRE -96 240 -96 224 -WIRE 48 272 48 224 -WIRE -96 352 -96 320 -WIRE 48 352 48 336 -WIRE 368 352 368 240 -FLAG 368 352 0 -FLAG -96 352 0 -FLAG 48 352 0 -FLAG 192 -176 0 -FLAG 656 176 0 -FLAG 416 112 Vout -SYMBOL res 64 208 R90 -WINDOW 0 0 56 VBottom 2 -WINDOW 3 32 56 VTop 2 -SYMATTR InstName R2 -SYMATTR Value 30 -SYMBOL ind 64 240 R270 -WINDOW 0 32 56 VTop 2 -WINDOW 3 5 56 VBottom 2 -SYMATTR InstName L1 -SYMATTR Value 50n -SYMBOL Misc\\signal -96 224 R0 -WINDOW 0 24 104 Left 2 -WINDOW 3 -63 -76 Left 2 -WINDOW 123 0 0 Left 2 -WINDOW 39 0 0 Left 2 -SYMATTR InstName V1 -SYMATTR Value PULSE(0 3.3 0 1n 1n 2.5u 5u) -SYMBOL cap 32 272 R0 -SYMATTR InstName C1 -SYMATTR Value 10p -SYMBOL nmos 320 144 R0 -SYMATTR InstName M1 -SYMATTR Value IRLML6244 -SYMBOL voltage 192 -304 R0 -WINDOW 123 0 0 Left 2 -WINDOW 39 0 0 Left 2 -SYMATTR InstName V2 -SYMATTR Value 12 -SYMBOL LED 352 -336 R0 -SYMATTR InstName D3 -SYMATTR Value LXK2-PW14 -SYMBOL res 384 -320 R180 -WINDOW 0 36 76 Left 2 -WINDOW 3 36 40 Left 2 -SYMATTR InstName R1 -SYMATTR Value 4.7 -SYMBOL ind 352 0 R0 -SYMATTR InstName L2 -SYMATTR Value 500n -SYMBOL LED 352 -272 R0 -SYMATTR InstName D1 -SYMATTR Value LXK2-PW14 -SYMBOL LED 352 -208 R0 -SYMATTR InstName D2 -SYMATTR Value LXK2-PW14 -SYMBOL cap 656 -112 R90 -WINDOW 0 0 32 VBottom 2 -WINDOW 3 32 32 VTop 2 -SYMATTR InstName C2 -SYMATTR Value 100p -SYMBOL cap 656 96 R90 -WINDOW 0 0 32 VBottom 2 -WINDOW 3 32 32 VTop 2 -SYMATTR InstName C3 -SYMATTR Value 100p -SYMBOL res 384 0 R180 -WINDOW 0 36 76 Left 2 -WINDOW 3 36 40 Left 2 -SYMATTR InstName R3 -SYMATTR Value 0.1 -SYMBOL res 288 208 R90 -WINDOW 0 0 56 VBottom 2 -WINDOW 3 32 56 VTop 2 -SYMATTR InstName R4 -SYMATTR Value 220 -TEXT -154 88 Left 2 !.tran 10u diff --git a/firmware/stepper_test.py b/firmware/stepper_test.py deleted file mode 100644 index 95a4e2a..0000000 --- a/firmware/stepper_test.py +++ /dev/null @@ -1,60 +0,0 @@ -#!/usr/bin/env python3 - -import time -import statistics -import sqlite3 -from datetime import datetime - -from pyBusPirateLite import BitBang - -if __name__ == '__main__': - import argparse - - parser = argparse.ArgumentParser() - parser.add_argument('buspirate_port', nargs='?', default='/dev/serial/by-id/usb-FTDI_FT232R_USB_UART_AD01W1RF-if00-port0') - args = parser.parse_args() - - bp = BitBang(args.buspirate_port) - bp.enter_bb() - bp.mosi = 1 - - def stepper_direction_down(): - bp.aux = 0 - - def stepper_direction_up(): - bp.aux = 1 - - def stepper_step(): - bp.cs = 1 - #time.sleep(0.005) - bp.cs = 0 - #time.sleep(0.005) - - import curses - screen = curses.initscr() - curses.noecho() - curses.cbreak() - screen.keypad(True) - i = 0 - try: - while True: - key = screen.getch() - if key == ord('q'): - break - - screen.addstr('{: 4}'.format(i)) - - if key == curses.KEY_DOWN: - stepper_direction_down() - stepper_step() - i -= 1 - elif key == curses.KEY_UP: - stepper_direction_up() - stepper_step() - i += 1 - - finally: - curses.nocbreak() - screen.keypad(0) - curses.echo() - curses.endwin() |
