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@abalter
Created October 15, 2017 22:27
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{
"cells": [
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"from numpy import *\n",
"import scipy as sp\n",
"import matplotlib.pyplot as plot\n",
"%matplotlib inline\n",
"from ipywidgets import widgets\n",
"from IPython.html.widgets import *"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def f(x):\n",
" print(x)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n"
]
},
{
"data": {
"text/plain": [
"<function __main__.f>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"interact(f, x=True)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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dOz4trhYJBYT+TmuCsKDt7pWIhlwzWeRLVVYLFUvdZ6DJulipkc27IxC7mC0Q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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd73cd35240>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"<function __main__.plotSin>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = arange(0, 1.0, 0.01)\n",
"def plotSin(f):\n",
" plt.plot(t, sin(2*pi*f*t))\n",
" plt.show()\n",
" \n",
"interact(plotSin, f=(1,10,0.2))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from IPython.display import display\n",
"from ipywidgets import interact, interactive, fixed, interact_manual\n",
"import ipywidgets as widgets\n",
"def f(a, b):\n",
" display(a + b)\n",
" return a+b"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"w = interactive(f, a=10, b=20)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"30"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(w)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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