{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "data = pd.read_csv('assets/gapminder.csv', thousands=',', index_col='Year')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from bokeh.io import output_notebook\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter plot of 2010 - income vs life expectancy "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data.loc[2010].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from bokeh.plotting import figure\n",
    "#p = figure()\n",
    "#p.circle(x=data.loc[2010].income, y=data.loc[2010].life)\n",
    "from bokeh.io import show\n",
    "#show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [01 - plotting](01 - plotting.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#p = figure(\n",
    "#    height=400, x_axis_type='log', \n",
    "#    x_range=(100, 100000), y_range=(0, 100), \n",
    "#    title='2010', x_axis_label='Income', y_axis_label='Life expectancy'\n",
    "#)\n",
    "# MAKE A FUNCTION\n",
    "#p.circle(x=data.loc[2010].income, y=data.loc[2010].life, color='firebrick')\n",
    "#show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Column Data Source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from bokeh.models import ColumnDataSource\n",
    "source = ColumnDataSource(\n",
    "    {\n",
    "        'column_1': [1, 2, 3],\n",
    "        'column_2': [3, 4, 5]\n",
    "    }\n",
    ")\n",
    "#source = ColumnDataSource({\n",
    "#    'income': data.loc[2010].income,\n",
    "#    'life': data.loc[2010].life,\n",
    "#    'country': data.loc[2010].Country\n",
    "#})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [02 - column data source](02 - column data source.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can show regions by color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "regions = list(data.region.unique())\n",
    "regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from bokeh.palettes import Spectral6\n",
    "Spectral6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def get_color(r):\n",
    "    return Spectral6[regions.index(r.region)]\n",
    "data['region_color'] = data.apply(get_color, axis=1)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#p.circle(x='income', y='life', size=20, alpha=0.6, color='color', source=source)\n",
    "#show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add a hover"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from bokeh.models import HoverTool\n",
    "#hover = HoverTool(tooltips='@country', show_arrow=False)\n",
    "#p.circle(x='income', y='life', size=20, alpha=0.6, color='color', source=source)\n",
    "#p.add_tools(hover)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [03 - interactions](03 - interactions.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examples Interlude - [A1 - Extra Resources](A1 - Extra Resources.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [04 - styling](04 - styling.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [05 - data transformations](05 - data transformations.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Working plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from bokeh.models import NumeralTickFormatter\n",
    "\n",
    "\n",
    "source = ColumnDataSource({\n",
    "    'income': data.loc[2010].income,\n",
    "    'life': data.loc[2010].life,\n",
    "    'country': data.loc[2010].Country,\n",
    "    'color': data.loc[2010].region_color,\n",
    "    'population': data.loc[2010].population\n",
    "})\n",
    "\n",
    "from bokeh.models import LinearInterpolator\n",
    "size_mapper = LinearInterpolator(\n",
    "    x=[data.population.min(), data.population.max()],\n",
    "    y=[5, 50]\n",
    ")\n",
    "\n",
    "p = figure(\n",
    "    height=400, x_axis_type='log', \n",
    "    x_range=(100, 100000), y_range=(0, 100), \n",
    "    title='2010', x_axis_label='Income', y_axis_label='Life expectancy',\n",
    "    tools=[HoverTool(tooltips='@country', show_arrow=False)]\n",
    ")\n",
    "p.xaxis[0].formatter = NumeralTickFormatter(format=\"$0,\")\n",
    "p.circle(\n",
    "    x='income', y='life', \n",
    "    size={'field': 'population', 'transform': size_mapper}, \n",
    "    color='color',\n",
    "    alpha=0.6,  \n",
    "    source=source,\n",
    ")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interactivity with slider"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from bokeh.io import push_notebook\n",
    "source = ColumnDataSource({\n",
    "    'income': data.loc[2010].income,\n",
    "    'life': data.loc[2010].life,\n",
    "    'country': data.loc[2010].Country,\n",
    "    'color': data.loc[2010].region_color,\n",
    "    'population': data.loc[2010].population\n",
    "})\n",
    "\n",
    "def update(year):\n",
    "    new_data = dict(\n",
    "        income=data.loc[year].income, \n",
    "        life=data.loc[year].life, \n",
    "        country=data.loc[year].Country,\n",
    "        population=data.loc[year].population,\n",
    "        color=data.loc[year].region_color,\n",
    "    )\n",
    "    source.data = new_data\n",
    "    p.title.text = str(year)\n",
    "    push_notebook()\n",
    "    \n",
    "size_mapper = LinearInterpolator(\n",
    "    x=[data.population.min(), data.population.max()],\n",
    "    y=[5, 50]\n",
    ")\n",
    "p = figure(\n",
    "    height=400, x_axis_type='log', \n",
    "    x_range=(100, 100000), y_range=(0, 100), \n",
    "    title='2010', x_axis_label='Income', y_axis_label='Life expectancy',\n",
    "    tools=[HoverTool(tooltips='@country', show_arrow=False)]\n",
    ")\n",
    "p.xaxis[0].formatter = NumeralTickFormatter(format=\"$0,\")\n",
    "p.circle(\n",
    "    x='income', y='life', \n",
    "    size={'field': 'population', 'transform': size_mapper}, \n",
    "    color='color',\n",
    "    alpha=0.6,  \n",
    "    source=source,\n",
    ")\n",
    "show(p, notebook_handle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from ipywidgets import interact, IntSlider\n",
    "slider = IntSlider(min=1960, max=2014, value=2010)\n",
    "interact(update, year=slider)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [06 - server](06 - server.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### [07 - sharing](07 - sharing.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we haven't talked about it yet:\n",
    "- tab completing in notebook\n",
    "- fuzzy search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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