{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3b507dd1-31f6-4732-bbc7-c82f2135fe1f",
   "metadata": {},
   "source": [
    "# Bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d0ed0f8-ce26-4c54-9161-d34ca73ae716",
   "metadata": {},
   "outputs": [],
   "source": [
    "import hvplot.xarray  # noqa\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3f7e297-9576-4c36-9a9f-a4200ccf2d36",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "A `bar` plot represents **categorical data** with rectangular bars with heights proportional to the **numerical values** that they represent.\n",
    "The x-axis represents the categories and the y axis represents the numerical value scale.\n",
    "The bars are of equal width which allows for instant comparison of data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af429bbb-9a65-4b5d-b447-ce50b35dfedc",
   "metadata": {},
   "source": [
    "## Data\n",
    "\n",
    "Let's load some data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8db8fff7-b85f-49ea-b281-4a4d86e0f3ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = xr.tutorial.open_dataset('air_temperature').load()\n",
    "air = ds.air\n",
    "air1d = air.sel(lon=285.,lat=40.).groupby('time.month').mean()\n",
    "air1d"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "629c5172-9cba-4f5f-bf3b-67e0a390385b",
   "metadata": {},
   "source": [
    "## Basic Bar Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfd1afa2-e310-4630-bd30-96e390078caf",
   "metadata": {},
   "outputs": [],
   "source": [
    "air1d.hvplot.bar(y='air', height=500, title=\"Air Temperature by Month\")"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}