{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e1b04b1d",
   "metadata": {},
   "source": [
    "# Bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dab91803",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "data = {'Month':['Jan','Feb','March','April'],\n",
    "        'Sales': [99, 102, 95, 120],\n",
    "        'Profit': [10,20,30,40],\n",
    "        'Country': ['India','India','Nepal','Nepal']\n",
    "       }\n",
    "df=pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "39ba15f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "x='Month',\n",
    "y='Sales',\n",
    "data=df,\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18f7bab9",
   "metadata": {},
   "source": [
    "## Horizontal Bar Chart"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "762ac709",
   "metadata": {},
   "source": [
    "- Swap the values of x and y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "78b880cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "x='Sales',\n",
    "y='Month',\n",
    "data=df,\n",
    ");"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}