{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "    require.config({\n",
       "                 baseUrl : \"https://cdn.rawgit.com/napjon/krisk/master/krisk/static\",\n",
       "                 paths: {\n",
       "                      echarts: \"https://cdnjs.cloudflare.com/ajax/libs/echarts/3.2.1/echarts.min\"\n",
       "                  }\n",
       "    });\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from ipywidgets import interact, IntSlider\n",
    "import ipywidgets as widgets\n",
    "\n",
    "import pandas as pd\n",
    "import krisk.plot as kk\n",
    "# Use this when you want to nbconvert the notebook (used by nbviewer)\n",
    "from krisk import init_notebook; init_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('../krisk/tests/data/gapminderDataFiveYear.txt',sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Krisk also introduced a very simplistic for you to resync data or create a reproducible charts. Consider this plot,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "$('#e067b491-63a2-4efc-8f72-680f0f3ea7b3').attr('id','e067b491-63a2-4efc-8f72-680f0f3ea7b3'+'_old');\n",
       "element.append('<div id=\"e067b491-63a2-4efc-8f72-680f0f3ea7b3\" style=\"width: 800px;height:400px;\"></div>');\n",
       "require(['echarts', 'dark', 'vintage', 'roma', 'shine', 'infographic', 'macarons'],\n",
       "function(echarts){\n",
       "    \n",
       "    function parseFunction(str){\n",
       "        return eval('(' + str + ')');\n",
       "    }\n",
       "    \n",
       "    var myChart = echarts.init(document.getElementById(\"e067b491-63a2-4efc-8f72-680f0f3ea7b3\"),\"\");\n",
       "    \n",
       "    var option = {\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                4570009.635,\n",
       "                13806097.84,\n",
       "                42283556.121,\n",
       "                13937361.533,\n",
       "                5343003.0\n",
       "            ],\n",
       "            \"name\": \"continent\",\n",
       "            \"type\": \"bar\"\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"\"\n",
       "        }\n",
       "    },\n",
       "    \"xAxis\": {\n",
       "        \"data\": [\n",
       "            \"Africa\",\n",
       "            \"Americas\",\n",
       "            \"Asia\",\n",
       "            \"Europe\",\n",
       "            \"Oceania\"\n",
       "        ]\n",
       "    },\n",
       "    \"legend\": {\n",
       "        \"data\": []\n",
       "    },\n",
       "    \"yAxis\": {},\n",
       "    \"title\": {\n",
       "        \"text\": \"\"\n",
       "    }\n",
       "};\n",
       "    option['tooltip']['formatter'] = parseFunction(option['tooltip']['formatter']);\n",
       "    myChart.setOption(option);\n",
       "    \n",
       "    \n",
       "    \n",
       "});\n"
      ],
      "text/plain": [
       "<krisk.chart.Chart at 0x106741438>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = kk.bar(df[df.year == 1952],'continent',y='pop', how='mean')\n",
    "p.set_size(width=800)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Executing this code below "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require(['echarts', 'dark', 'vintage', 'roma', 'shine', 'infographic', 'macarons'],\n",
       "function(echarts){\n",
       "    \n",
       "    function parseFunction(str){\n",
       "        return eval('(' + str + ')');\n",
       "    }\n",
       "    \n",
       "    var myChart = echarts.init(document.getElementById(\"e067b491-63a2-4efc-8f72-680f0f3ea7b3\"),\"\");\n",
       "    \n",
       "    var option = {\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                17875763.308,\n",
       "                35954847.36,\n",
       "                115513752.333,\n",
       "                19536617.633,\n",
       "                12274973.5\n",
       "            ],\n",
       "            \"name\": \"continent\",\n",
       "            \"type\": \"bar\"\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"\"\n",
       "        }\n",
       "    },\n",
       "    \"xAxis\": {\n",
       "        \"data\": [\n",
       "            \"Africa\",\n",
       "            \"Americas\",\n",
       "            \"Asia\",\n",
       "            \"Europe\",\n",
       "            \"Oceania\"\n",
       "        ]\n",
       "    },\n",
       "    \"legend\": {\n",
       "        \"data\": []\n",
       "    },\n",
       "    \"yAxis\": {},\n",
       "    \"title\": {\n",
       "        \"text\": \"\"\n",
       "    }\n",
       "};\n",
       "    option['tooltip']['formatter'] = parseFunction(option['tooltip']['formatter']);\n",
       "    myChart.setOption(option);\n",
       "    \n",
       "    \n",
       "    \n",
       "});\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.resync_data(df[df.year == 2007])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Would let you to modify the plot above instead of returning new plot. As you can see this is useful when you combine it to `ipywidgets` to interact with your data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require(['echarts', 'dark', 'vintage', 'roma', 'shine', 'infographic', 'macarons'],\n",
       "function(echarts){\n",
       "    \n",
       "    function parseFunction(str){\n",
       "        return eval('(' + str + ')');\n",
       "    }\n",
       "    \n",
       "    var myChart = echarts.init(document.getElementById(\"e067b491-63a2-4efc-8f72-680f0f3ea7b3\"),\"\");\n",
       "    \n",
       "    var option = {\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                4570009.635,\n",
       "                13806097.84,\n",
       "                42283556.121,\n",
       "                13937361.533,\n",
       "                5343003.0\n",
       "            ],\n",
       "            \"name\": \"continent\",\n",
       "            \"type\": \"bar\"\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"\"\n",
       "        }\n",
       "    },\n",
       "    \"xAxis\": {\n",
       "        \"data\": [\n",
       "            \"Africa\",\n",
       "            \"Americas\",\n",
       "            \"Asia\",\n",
       "            \"Europe\",\n",
       "            \"Oceania\"\n",
       "        ]\n",
       "    },\n",
       "    \"legend\": {\n",
       "        \"data\": []\n",
       "    },\n",
       "    \"yAxis\": {},\n",
       "    \"title\": {\n",
       "        \"text\": \"\"\n",
       "    }\n",
       "};\n",
       "    option['tooltip']['formatter'] = parseFunction(option['tooltip']['formatter']);\n",
       "    myChart.setOption(option);\n",
       "    \n",
       "    \n",
       "    \n",
       "});\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.resync>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def resync(year):\n",
    "    return p.resync_data(df[df.year == year])\n",
    "interact(resync,year=IntSlider(min=df.year.min(),max=df.year.max(),step=5,value=1952))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "You can also replot entirely the plot you have in the cell where the variable is"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require(['echarts', 'dark', 'vintage', 'roma', 'shine', 'infographic', 'macarons'],\n",
       "function(echarts){\n",
       "    \n",
       "    function parseFunction(str){\n",
       "        return eval('(' + str + ')');\n",
       "    }\n",
       "    \n",
       "    var myChart = echarts.init(document.getElementById(\"e067b491-63a2-4efc-8f72-680f0f3ea7b3\"),\"\");\n",
       "    \n",
       "    var option = {\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                624,\n",
       "                396,\n",
       "                360,\n",
       "                300,\n",
       "                24\n",
       "            ],\n",
       "            \"name\": \"continent\",\n",
       "            \"type\": \"line\"\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"\"\n",
       "        }\n",
       "    },\n",
       "    \"xAxis\": {\n",
       "        \"data\": [\n",
       "            \"Africa\",\n",
       "            \"Asia\",\n",
       "            \"Europe\",\n",
       "            \"Americas\",\n",
       "            \"Oceania\"\n",
       "        ]\n",
       "    },\n",
       "    \"legend\": {\n",
       "        \"data\": []\n",
       "    },\n",
       "    \"yAxis\": {},\n",
       "    \"title\": {\n",
       "        \"text\": \"\"\n",
       "    }\n",
       "};\n",
       "    option['tooltip']['formatter'] = parseFunction(option['tooltip']['formatter']);\n",
       "    myChart.setOption(option);\n",
       "    \n",
       "    \n",
       "    \n",
       "});\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.replot(kk.line(df,'continent'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, there is `read_df` method for reproducible charts. You have a plot, and using it to just replace the data. This is especially useful when you have a beautiful chart already, and sharing to others just by replacing the data. Note that this is similar resync_data. But instead of replacing the cell where previous chart contained, it create new cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "$('#11cd0150-0990-4a3b-a3ed-c1312a2e4bdc').attr('id','11cd0150-0990-4a3b-a3ed-c1312a2e4bdc'+'_old');\n",
       "element.append('<div id=\"11cd0150-0990-4a3b-a3ed-c1312a2e4bdc\" style=\"width: 800px;height:400px;\"></div>');\n",
       "require(['echarts', 'dark', 'vintage', 'roma', 'shine', 'infographic', 'macarons'],\n",
       "function(echarts){\n",
       "    \n",
       "    function parseFunction(str){\n",
       "        return eval('(' + str + ')');\n",
       "    }\n",
       "    \n",
       "    var myChart = echarts.init(document.getElementById(\"11cd0150-0990-4a3b-a3ed-c1312a2e4bdc\"),\"\");\n",
       "    \n",
       "    var option = {\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                9916003.143,\n",
       "                24504794.997,\n",
       "                77038721.975,\n",
       "                17169764.733,\n",
       "                8874672.333\n",
       "            ],\n",
       "            \"name\": \"continent\",\n",
       "            \"type\": \"bar\"\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"\"\n",
       "        }\n",
       "    },\n",
       "    \"xAxis\": {\n",
       "        \"data\": [\n",
       "            \"Africa\",\n",
       "            \"Americas\",\n",
       "            \"Asia\",\n",
       "            \"Europe\",\n",
       "            \"Oceania\"\n",
       "        ]\n",
       "    },\n",
       "    \"legend\": {\n",
       "        \"data\": []\n",
       "    },\n",
       "    \"yAxis\": {},\n",
       "    \"title\": {\n",
       "        \"text\": \"\"\n",
       "    }\n",
       "};\n",
       "    option['tooltip']['formatter'] = parseFunction(option['tooltip']['formatter']);\n",
       "    myChart.setOption(option);\n",
       "    \n",
       "    \n",
       "    \n",
       "});\n"
      ],
      "text/plain": [
       "<krisk.chart.Chart at 0x1067412e8>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.read_df(df)"
   ]
  }
 ],
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