91 lines
44 KiB
Plaintext
91 lines
44 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"import numpy as np\n",
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"\n",
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"fname_in=\"./test_cg_smooth_0_in\"\n",
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"fname_out=\"./test_cg_smooth_0_out\"\n",
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"\n",
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"nx=50\n",
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"ny=50\n",
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"nz=50\n",
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"\n",
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"# Read in the input file and convert to a 3D numpy array by genfromtxt\n",
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"data_in = np.genfromtxt(fname_in, delimiter=' ', dtype=None)\n",
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"data_in = data_in.reshape((nx,ny,nz))\n",
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"\n",
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"# Read in the output file and convert to a 3D numpy array by genfromtxt\n",
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"data_out = np.genfromtxt(fname_out, delimiter=' ', dtype=None)\n",
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"data_out = data_out.reshape((nx,ny,nz))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1000x1000 with 4 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"#plot\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"\n",
|
|
"plt.figure(figsize=(10,10))\n",
|
|
"plt.subplot(1,2,1)\n",
|
|
"plt.imshow(data_in[:,25,:], origin='lower', cmap='jet')\n",
|
|
"plt.colorbar()\n",
|
|
"plt.title('Input')\n",
|
|
"plt.subplot(1,2,2)\n",
|
|
"plt.imshow(data_out[:,25,:], origin='lower', cmap='jet')\n",
|
|
"plt.colorbar()\n",
|
|
"plt.title('Output')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"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": "3.10.8"
|
|
},
|
|
"orig_nbformat": 4
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|