{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Title**: HLine Element\n",
    "\n",
    "**Dependencies**: Matplotlib\n",
    "\n",
    "**Backends**: [Bokeh](../bokeh/HLine.ipynb), [Matplotlib](./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",
    "\n",
    "hv.extension('matplotlib')"
   ]
  },
  {
   "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",
    "points = hv.Points((xs,ys))\n",
    "\n",
    "(points * hv.HLine(ys.mean())).opts(\n",
    "    opts.HLine(color='blue', linewidth=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).``"
   ]
  }
 ],
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  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
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 "nbformat": 4,
 "nbformat_minor": 4
}
