{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xKU3RDZbNPAB"
   },
   "source": [
    "# **Ipychart - Plot Functions (Pandas Interface)**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vrIalhweNw0k"
   },
   "source": [
    "The second class of the ipychart API is the *ChartDataFrame* class. It allows you to create charts directly from your pandas dataframe.\n",
    "\n",
    "In this notebook you will find examples of how to create charts from your data loaded in a pandas dataframe with ipychart. All types of charts that can be created with the ChartDataFrame classs are implemented below. You can also find these examples in the official documentation of the package: https://nicohlr.gitlab.io/ipychart/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ElNf9ZbqlLey"
   },
   "source": [
    "## **Imports**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "a5RKOM9LlKpb"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import ipychart as ipc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "s9oBg1ezpSOL"
   },
   "source": [
    "## **Load Data & create a ChartDataFrame instance**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VeHlQgMDp9d3"
   },
   "outputs": [],
   "source": [
    "titanic = pd.read_csv('titanic.csv')\n",
    "titanic['Age'] = titanic['Age'].fillna(titanic['Age'].median())\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "HKEUFIlAlt7y"
   },
   "source": [
    "## **Charts**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "btYaVW3pl2HZ"
   },
   "source": [
    "### Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "fpFLZimWm_xJ"
   },
   "outputs": [],
   "source": [
    "ipc.countplot(data=titanic, x='Embarked', hue=\"Survived\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sM4U8hmXl8oP"
   },
   "source": [
    "### Dist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "V_qbHLg0nCUc"
   },
   "outputs": [],
   "source": [
    "ipc.distplot(data=titanic, x='Age')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sL4fK8hgl8qv"
   },
   "source": [
    "### Line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xwx3ixYqnFHO"
   },
   "outputs": [],
   "source": [
    "datalabels_arguments = {'display': True, 'borderWidth': 1, 'anchor': 'end', \n",
    "                        'align': 'end', 'borderRadius': 5, 'color': '#fff'}\n",
    "\n",
    "ipc.lineplot(data=titanic, x='Pclass', y='Age', hue='Sex', \n",
    "             dataset_options={'fill': False, 'datalabels': datalabels_arguments}, \n",
    "             colorscheme='office.Parallax6')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "-2-AJty9l8tQ"
   },
   "source": [
    " ### Bar "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "MWpWBaQXnLcg"
   },
   "outputs": [],
   "source": [
    "ipc.barplot(data=titanic, x='Pclass', y='Fare', hue='Sex', colorscheme='office.Parallax6')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DQ9cxdUeq5EP"
   },
   "source": [
    "### Radar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "U-udOfUGrbV6"
   },
   "outputs": [],
   "source": [
    "ipc.radarplot(data=titanic, x='Title', y='Fare', colorscheme='office.Yellow6')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5Igo705drAOn"
   },
   "source": [
    "### Doughnut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "OGE79vPbrb3u"
   },
   "outputs": [],
   "source": [
    "ipc.doughnutplot(data=titanic, x='Title', y='Fare', colorscheme='brewer.SetThree5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "OnJW_Qo8l8vl"
   },
   "source": [
    "### Pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KzypoXTbnP49"
   },
   "outputs": [],
   "source": [
    "ipc.pieplot(data=titanic, x='Title', y='Fare', colorscheme='brewer.SetThree5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "0F34Vt0el8x_"
   },
   "source": [
    "### Polar Area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "90j3GbEonTFy"
   },
   "outputs": [],
   "source": [
    "ipc.polarplot(data=titanic, x='Title', y='Fare', colorscheme='brewer.SetThree5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "74p8gTWPmGT0"
   },
   "source": [
    "### Scatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tlb757KAnWJs"
   },
   "outputs": [],
   "source": [
    "ipc.scatterplot(data=titanic, x='Age', y='Fare', hue='Survived', \n",
    "                      colorscheme='tableau.ColorBlind10')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "dKn_9JrxmGMQ"
   },
   "source": [
    "### Bubble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "8MvSs8pYnZEp"
   },
   "outputs": [],
   "source": [
    "ipc.bubbleplot(data=titanic, x='Age', y='Fare', r='Pclass', hue='Survived', \n",
    "                     colorscheme='office.Headlines6')"
   ]
  }
 ],
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   "collapsed_sections": [],
   "name": "ChartDataFrame.ipynb",
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  "kernelspec": {
   "display_name": "ipychart-test",
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  "language_info": {
   "codemirror_mode": {
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