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File: C:/Users/fred/anaconda3/Lib/site-packages/holoviews/examples/reference/elements/plotly/HSpan.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Title**: HSpan Element\n",
    "\n",
    "**Dependencies**: Plotly\n",
    "\n",
    "**Backends**: [Bokeh](../bokeh/HSpan.ipynb), [Matplotlib](../matplotlib/HSpan.ipynb), [Plotly](./HSpan.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('plotly')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ``HSpan`` element is a type of annotation that marks a range along the y-axis. Here is an ``HSpan`` element that marks the standard deviation in a collection of points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs = np.random.normal(size=500)\n",
    "ys = np.random.normal(size=500) * xs\n",
    "ymean, ystd = ys.mean(), ys.std()\n",
    "\n",
    "points = hv.Points((xs,ys))\n",
    "hspan  = hv.HSpan(ymean-ystd, ymean+ystd)\n",
    "\n",
    "hspan.opts(fillcolor='blue') * points.opts(color='#D3D3D3')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like all annotation-like elements `HSpan` is not included in the calculation of axis ranges by default, but can be included by setting `apply_ranges=True`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "(hv.HSpan(1, 3) * hv.HSpan(5, 8)).opts(\n",
    "    opts.HSpan(apply_ranges=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For full documentation and the available style and plot options, use ``hv.help(hv.HSpan).``"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}