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Diffstat (limited to 'lab-windows/grid_frequency_spectra.ipynb')
-rw-r--r--lab-windows/grid_frequency_spectra.ipynb141
1 files changed, 93 insertions, 48 deletions
diff --git a/lab-windows/grid_frequency_spectra.ipynb b/lab-windows/grid_frequency_spectra.ipynb
index 7b187f5..75d3cf9 100644
--- a/lab-windows/grid_frequency_spectra.ipynb
+++ b/lab-windows/grid_frequency_spectra.ipynb
@@ -33,13 +33,13 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "36f1f4d7970e41afa4737b6f63b7c449",
+ "model_id": "45cbf0c7c4314a3386adf52c261b1505",
"version_major": 2,
"version_minor": 0
},
@@ -53,10 +53,10 @@
{
"data": {
"text/plain": [
- "[<matplotlib.lines.Line2D at 0x7f952a6e4580>]"
+ "[<matplotlib.lines.Line2D at 0x7f8371954d00>]"
]
},
- "execution_count": 9,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -68,7 +68,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -77,7 +77,7 @@
"0.02051102806199375"
]
},
- "execution_count": 10,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -88,13 +88,13 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "d7fe0512f4254efeb15235a5617ef064",
+ "model_id": "125cd5cc3ac44df5885f2c82cfa80c11",
"version_major": 2,
"version_minor": 0
},
@@ -111,7 +111,7 @@
"(1e-06, 0.5)"
]
},
- "execution_count": 16,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -141,21 +141,13 @@
},
{
"cell_type": "code",
- "execution_count": 72,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "<ipython-input-72-51d3a7cc1678>:20: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
- " fig, ax = plt.subplots()\n"
- ]
- },
- {
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "2991d932b113496a9135d569f9577abe",
+ "model_id": "65216e331e154ee980d16ae5de7fbfcd",
"version_major": 2,
"version_minor": 0
},
@@ -172,7 +164,7 @@
"(5e-07, 0.02)"
]
},
- "execution_count": 72,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -214,25 +206,22 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
- "ename": "TypeError",
- "evalue": "object of type <class 'float'> cannot be safely interpreted as an integer.",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m~/safety-reset/lab-windows/env/lib/python3.8/site-packages/numpy/core/function_base.py\u001b[0m in \u001b[0;36mlinspace\u001b[0;34m(start, stop, num, endpoint, retstep, dtype, axis)\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 117\u001b[0;31m \u001b[0mnum\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moperator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 118\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;31mTypeError\u001b[0m: 'float' object cannot be interpreted as an integer",
- "\nDuring handling of the above exception, another exception occurred:\n",
- "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-7-75728c9461c4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mones\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'valid'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mxs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1.0\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;31m#xs = np.linspace(len(data)/2, 1, len(data)/2)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mlinspace\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
- "\u001b[0;32m~/safety-reset/lab-windows/env/lib/python3.8/site-packages/numpy/core/function_base.py\u001b[0m in \u001b[0;36mlinspace\u001b[0;34m(start, stop, num, endpoint, retstep, dtype, axis)\u001b[0m\n\u001b[1;32m 117\u001b[0m \u001b[0mnum\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0moperator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 118\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 119\u001b[0;31m raise TypeError(\n\u001b[0m\u001b[1;32m 120\u001b[0m \u001b[0;34m\"object of type {} cannot be safely interpreted as an integer.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 121\u001b[0m .format(type(num)))\n",
- "\u001b[0;31mTypeError\u001b[0m: object of type <class 'float'> cannot be safely interpreted as an integer."
- ]
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "d5721ab27d01416fb7fce8449b5d2289",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
}
],
"source": [
@@ -242,7 +231,7 @@
"\n",
"ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n",
"\n",
- "xs = np.linspace(0, 1.0/2.0, len(data)/2)\n",
+ "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n",
"#xs = np.linspace(len(data)/2, 1, len(data)/2)\n",
"\n",
"fig, ax = plt.subplots()\n",
@@ -253,9 +242,24 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 15,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "c419327f1f4f43c1903d3817d4651241",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"ys = scipy.fftpack.fft(data[:,0])\n",
"ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n",
@@ -263,7 +267,7 @@
"\n",
"ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n",
"\n",
- "xs = np.linspace(0, 1.0/2.0, len(data)/2)\n",
+ "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n",
"#xs = np.linspace(len(data)/2, 1, len(data)/2)\n",
"\n",
"fig, ax = plt.subplots()\n",
@@ -274,9 +278,24 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 16,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "7c1941babb2e4d0c951d060fa9a4ba78",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"ys = scipy.fftpack.fft(data[:,0])\n",
"ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n",
@@ -284,7 +303,7 @@
"\n",
"ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n",
"\n",
- "xs = np.linspace(0, 1.0/2.0, len(data)/2)\n",
+ "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n",
"\n",
"ys *= 2*np.pi*xs\n",
"#xs = np.linspace(len(data)/2, 1, len(data)/2)\n",
@@ -297,9 +316,24 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "6034b96d5f08488a84d94b82cf319047",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"ys = scipy.fftpack.fft(data[:,0])\n",
"ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n",
@@ -307,7 +341,7 @@
"\n",
"ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n",
"\n",
- "xs = np.linspace(0, 1.0/2.0, len(data)/2)\n",
+ "xs = np.linspace(0, 1.0/2.0, len(data)//2)\n",
"\n",
"ys *= 2*np.pi*xs[s//2:-s//2+1]\n",
"\n",
@@ -322,9 +356,20 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 18,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "15.923566878980893"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"1/0.0628"
]
generated by cgit (git 2.34.1) at 2024-11-29 23:23:42 +0000