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129 lines
19 KiB
129 lines
19 KiB
2 years ago
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt"
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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": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<Figure size 432x288 with 0 Axes>"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 432x288 with 0 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()"
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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": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[<matplotlib.lines.Line2D at 0x206a7258d08>]"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
|
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"<Figure size 432x288 with 1 Axes>"
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]
|
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},
|
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|
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"metadata": {
|
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|
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"needs_background": "light"
|
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},
|
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|
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"output_type": "display_data"
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}
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],
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"source": [
|
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"plt.plot([1,2],[3,4])"
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]
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},
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{
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"cell_type": "code",
|
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|
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"execution_count": 7,
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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": [
|
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Create Figure (empty canvas)\n",
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"fig = plt.figure()\n",
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"\n",
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"# Add set of axes to figure\n",
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"axes = fig.add_axes([0, 0, 1, 1])"
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]
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},
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{
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"cell_type": "code",
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|
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"execution_count": null,
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"metadata": {},
|
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"outputs": [],
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|
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.7.6"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 4
|
||
|
|
}
|