{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Title**: VLine Element\n",
    "\n",
    "**Dependencies**: Bokeh\n",
    "\n",
    "**Backends**: [Matplotlib](../matplotlib/VLine.ipynb), [Bokeh](./VLine.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 ``VLine`` element is a type of annotation that marks a position along the x-axis. Here is a ``VLine`` marking the maximum of a quadratic curve:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs = np.linspace(-5,5,100)\n",
    "ys = -(xs-2)**2\n",
    "overlay = hv.Curve((xs,ys)) * hv.VLine(xs[ys.argmax()])\n",
    "overlay.opts(\n",
    "    opts.Curve(color='#D3D3D3'),\n",
    "    opts.VLine(color='red', line_width=6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For full documentation and the available style and plot options, use ``hv.help(hv.VLine).``"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}