You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
62 lines
24 KiB
62 lines
24 KiB
{ |
|
"cells": [ |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 1, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"data": { |
|
"image/png": "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\n", |
|
"text/plain": [ |
|
"<Figure size 432x288 with 1 Axes>" |
|
] |
|
}, |
|
"metadata": { |
|
"needs_background": "light" |
|
}, |
|
"output_type": "display_data" |
|
} |
|
], |
|
"source": [ |
|
"import matplotlib.pyplot as plt\n", |
|
"%matplotlib inline\n", |
|
"\n", |
|
"lineWidth = 20\n", |
|
"plt.figure()\n", |
|
"plt.plot([0,0],[-1,1], lw=lineWidth, c='b')\n", |
|
"plt.plot([-1,1],[-1,1], lw=lineWidth, c='r')\n", |
|
"plt.plot([-1,1],[1,-1], lw=lineWidth, c='g')\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": "3.5.2" |
|
} |
|
}, |
|
"nbformat": 4, |
|
"nbformat_minor": 2 |
|
}
|
|
|