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dmd/-

Created June 18, 2015 02:49
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"source": [
"%pylab inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
":0: FutureWarning: IPython widgets are experimental and may change in the future.\n"
]
}
],
"source": [
"from __future__ import print_function\n",
"from IPython.html.widgets import interact, interactive, fixed\n",
"from IPython.html import widgets"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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XlPNFiW9yzyj71B89tqmh/y+jwum7Lb9+siALo5dYFVgWmBdbS8V4Tl8/0Y2+Bi4HtgrP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\nAYZpGSICSjBYAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x111d907d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"@interact(f=(1,10),gr=True)\n",
"def g(f, gr):\n",
" blah=linspace(0,2*pi,100)\n",
" plot(blah,sin(blah*f))\n",
" grid(gr)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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