interactive_plot_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example with interactive slider + plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "import a few dependencies, might need to install `matplotlib` via `pip`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define a function with a parameter we want to vary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_sin(x):\n",
    "    Y = np.linspace(-10, 10, 100)\n",
    "    pd.DataFrame(Y**x).plot(title=\"Y^{x}\".format(x=x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a widget for the function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7f3edf55226f4ff09fb853d57fd615f7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "aW50ZXJhY3RpdmUoY2hpbGRyZW49KEludFNsaWRlcih2YWx1ZT0wLCBkZXNjcmlwdGlvbj11J3gnLCBtYXg9MTAsIG1pbj0tMTApLCBPdXRwdXQoKSksIF9kb21fY2xhc3Nlcz0odSd3aWRnZXTigKY=\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.plot_sin>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interact(plot_sin, x=widgets.IntSlider(min=-10,max=10,step=1,value=0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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