{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <b>barplot<b>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<b><font color=\"blue\" style=\"font-family:'Courier New'\">fivecentplots </font></b> can plot bar charts using  `fcp.bar`.  At a minimum, the `bar` function requires the following keywords:\n",
    "<ul>\n",
    "<li>`df`: a pandas DataFrame</li>\n",
    "<li>`x`: the name of the categorical data column\n",
    "<li>`y`: the name of the DataFrame column containing the values for the data in column `x`</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "import fivecentplots as fcp\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os, sys, pdb\n",
    "osjoin = os.path.join\n",
    "db = pdb.set_trace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read some fake bar chart data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Liquid</th>\n",
       "      <th>pH</th>\n",
       "      <th>Measurement</th>\n",
       "      <th>T [C]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lemon juice</td>\n",
       "      <td>2.4</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Orange juice</td>\n",
       "      <td>3.5</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Battery acid</td>\n",
       "      <td>1.0</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bottled water</td>\n",
       "      <td>6.7</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coke</td>\n",
       "      <td>3.0</td>\n",
       "      <td>A</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Liquid   pH Measurement  T [C]\n",
       "0    Lemon juice  2.4           A     25\n",
       "1   Orange juice  3.5           A     25\n",
       "2   Battery acid  1.0           A     25\n",
       "3  Bottled water  6.7           A     25\n",
       "4           Coke  3.0           A     25"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(osjoin(os.path.dirname(fcp.__file__), 'tests', 'fake_data_bar.csv'))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set theme"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Optionally set the design theme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#fcp.set_theme('gray')\n",
    "#fcp.set_theme('white')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Other"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "SHOW = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar plot types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vertical"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consider a DataFrame that contains several sets of measured pH data for various liquids.  First we plot only one set of measured data (note that we envoke the keyword to rotate the x tick labels so they are all readable):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 469.125x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, filter='Measurement==\"A\" & T [C]==25', tick_labels_major_x_rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Horizontal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot the same data horizontally by adding the keyword ``horizontal=True`` (notice now we do not need to rotate tick labels):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 564.5x481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, filter='Measurement==\"A\"', horizontal=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Error bars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can include all measurement sets in a single bar char.  **Now the bars represent the mean value of all data sets**.  We can also add error bars to indidcate the standard deviation between measurements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 479.625x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, error_bars=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouping"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like the <font style=\"font-family:'Courier New'\">plot</font> function, bar plots can grouped in various ways to provide further insight intot the data set.  This includes a `legend`, \"stacking\", `row` and/or `col` subplot values, and `wrap` values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Legend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With a legend, each measurement set can be explicitly displayed in subsequent bars:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 597.958x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, legend='Measurement')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stacked"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, we can stack the measurements to give a cumulative bar using the keyword `stacked=True` (which makes absolutely no sense for this data set but whatever):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 597.833x568 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, stacked=True, legend='Measurement')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Row/column plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can separate different conditions using row/col plots as shown below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1079.5x838 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, col='Measurement', row='T [C]', ax_hlines=0, ax_size=[300, 300])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wrap plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, we can use a `wrap` plot to visualize:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 679.625x858 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fcp.bar(df, x='Liquid', y='pH', show=SHOW, tick_labels_major_x_rotation=90, wrap='Measurement', ax_size=[300, 300])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.4"
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "toc_cell": false,
   "toc_position": {
    "height": "781px",
    "left": "0px",
    "right": "1152px",
    "top": "119px",
    "width": "212px"
   },
   "toc_section_display": "block",
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}