HEX
Server: Apache/2.4.46 (Win64) OpenSSL/1.1.1j PHP/8.4.25
System: Windows NT DESKTOP-4TAV2RJ 10.0 build 19045 (Windows 10) AMD64
User: fred (0)
PHP: 8.4.25
Disabled: NONE
Upload Files
File: C:/Users/fred/anaconda3/Lib/site-packages/holoviews/examples/reference/elements/bokeh/VSpan.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### **Title**: VSpan Element\n",
    "\n",
    "**Dependencies**: Bokeh\n",
    "\n",
    "**Backends**: [Matplotlib](../matplotlib/VSpan.ipynb), [Plotly](../plotly/VSpan.ipynb), [Bokeh](./VSpan.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 ``VSpan`` element is a type of annotation that marks a range along the x-axis. Here is a ``VSpan`` marking maximum region 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",
    "ymax = ys.argmax()\n",
    "\n",
    "curve = hv.Curve((xs,ys))\n",
    "vspan = hv.VSpan(xs[ymax-5], xs[ymax+5])\n",
    "\n",
    "curve.opts(color='#D3D3D3') * vspan.opts(color='red')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like all annotation-like elements `VSpan` 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.VSpan(1, 3) * hv.VSpan(5, 8)).opts(\n",
    "    opts.VSpan(apply_ranges=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For full documentation and the available style and plot options, use ``hv.help(hv.VSpan).``"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}