{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from bokeh.charts import Line, show, output_notebook, defaults"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "defaults.width = 550\n",
    "defaults.height = 400\n",
    "defaults.legend = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup fake sampled data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# build a dataset where multiple columns measure the same thing\n",
    "data = dict(python=[2, 3, 7, 5, 26, 221, 44, 233, 254, 265, 266, 267, 120, 111],\n",
    "            pypy=[12, 33, 47, 15, 126, 121, 144, 233, 254, 225, 226, 267, 110, 130],\n",
    "            jython=[22, 43, 10, 25, 26, 101, 114, 203, 194, 215, 201, 227, 139, 160],\n",
    "            test=['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar']\n",
    "            )\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# add a column with a range of dates, as if the values were sampled then\n",
    "df['date'] = pd.date_range('1/1/2015', periods=len(df.index), freq='D')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Build and show the charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# default behavior for dataframe input is to plot each numerical column as a line\n",
    "line = Line(df)\n",
    "show(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# build the line plots\n",
    "line0 = Line(df, y=['python', 'pypy', 'jython'],\n",
    "             title=\"Interpreters (y=['python', 'pypy', 'jython'])\", ylabel='Duration', legend=True)\n",
    "show(line0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "line1 = Line(df, x='date', y=['python', 'pypy', 'jython'],\n",
    "             title=\"Interpreters (x='date', y=['python', 'pypy', 'jython'])\", ylabel='Duration')\n",
    "show(line1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "line2 = Line(df, x='date', y=['python', 'pypy', 'jython'],\n",
    "             dash=['python', 'pypy', 'jython'],\n",
    "             title=\"Interpreters (x='date', y, dash=['python', 'pypy', 'jython'])\", ylabel='Duration')\n",
    "show(line2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "line3 = Line(df, x='date', y=['python', 'pypy', 'jython'],\n",
    "             dash=['python', 'pypy', 'jython'],\n",
    "             color=['python', 'pypy', 'jython'],\n",
    "             title=\"Interpreters (x='date', y, dash, color=['python', 'pypy', 'jython'])\", ylabel='Duration')\n",
    "show(line3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "line4 = Line(df, x='date', y=['python', 'pypy', 'jython'],\n",
    "             dash='test',\n",
    "             color=['python', 'pypy', 'jython'],\n",
    "             title=\"Interpreters (x='date', y, color=['python', 'pypy', 'jython'], dash='test')\", ylabel='Duration')\n",
    "show(line4)"
   ]
  }
 ],
 "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": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}