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@internetlab
Created April 16, 2019 17:13
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def f(t):\n",
" 'A damped exponential'\n",
" s1 = np.cos(2 * np.pi * t)\n",
" e1 = np.exp(-t)\n",
" return s1 * e1\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"t1 = np.arange(0.0, 5.0, .2)\n",
"\n",
"l = plt.plot(t1, f(t1), 'ro')\n",
"plt.setp(l, markersize=30)\n",
"plt.setp(l, markerfacecolor='C0')\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": "3.6.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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