{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Title**: HLine Element\n",
    "\n",
    "**Dependencies**: Bokeh\n",
    "\n",
    "**Backends**: [Matplotlib](../matplotlib/HLine.ipynb), [Bokeh](./HLine.ipynb), [Plotly](../plotly/HLine.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import holoviews as hv\n",
    "from holoviews import opts\n",
    "hv.extension('bokeh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ``HLine`` element is a type of annotation that marks a position along the y-axis. Here is an ``HLine`` element that marks the mean of a points distributions:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs = np.random.normal(size=100)\n",
    "ys = np.random.normal(size=100) * xs\n",
    "overlay = hv.Points((xs,ys)) * hv.HLine(ys.mean())\n",
    "overlay.opts(\n",
    "    opts.HLine(color='blue', line_width=6), \n",
    "    opts.Points(color='#D3D3D3'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For full documentation and the available style and plot options, use ``hv.help(hv.HLine).``"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}