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@dragstar328
Last active September 23, 2016 01:47
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matplotlib_sample
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Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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zJBJSL7Jvn+lIoinqS9g93kheZaXZONoS6YTi0CH5Rf7SWjqCKNdPeJJJ2T9g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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f81e4db2940>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"x = np.arange(-10, 10, 0.1)\n",
"y = np.sin(x)\n",
"plt.plot(x, y)\n",
"plt.show()"
]
}
],
"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": "3.5.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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