{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"contentcontainer med left\" style=\"margin-left: -50px;\">\n",
    "<dl class=\"dl-horizontal\">\n",
    "  <dt>Title</dt> <dd>GridSpace Container</dd>\n",
    "  <dt>Dependencies</dt> <dd>Plotly</dd>\n",
    "  <dt>Backends</dt> <dd><a href='./GridSpace.ipynb'>Bokeh</a> </dd> <dd> <a href='../matplotlib/GridSpace.ipynb'>Matplotlib</a></dd>  <dd> <a href='../plotly/GridSpace.ipynb'>Plotly</a></dd>\n",
    "</dl>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import holoviews as hv\n",
    "hv.extension('plotly')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A ``GridSpace`` is a two-dimensional dictionary of HoloViews objects presented onscreen as a grid. In one sense, due to the restriction on its dimensionality, a ``GridSpace`` may be considered a special case of [``HoloMap``](./HoloMap.ipynb). In another sense, ``GridSpace`` may be seen as more general as a ``GridSpace`` can hold a ``HoloMap`` but the converse is not permitted; see the [Building Composite Objects](../../../user_guide/06-Building_Composite_Objects.ipynb) user guide for details on how to compose containers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ``GridSpace`` holds two-dimensional dictionaries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the ``sine_curve`` function below, we can declare a two-dimensional dictionary of ``Curve`` elements, where the keys are 2-tuples corresponding to (phase, frequency) values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sine_curve(phase, freq):\n",
    "    xvals = [0.1* i for i in range(100)]\n",
    "    return hv.Curve((xvals, [np.sin(phase+freq*x) for x in xvals]))\n",
    "\n",
    "phases      = [0, np.pi/2, np.pi, 3*np.pi/2]\n",
    "frequencies = [0.5, 0.75, 1.0, 1.25]\n",
    "curve_dict_2D = {(p,f):sine_curve(p,f) for p in phases for f in frequencies}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now pass this dictionary of curves to ``GridSpace``:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gridspace = hv.GridSpace(curve_dict_2D, kdims=['phase', 'frequency'])\n",
    "gridspace"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ``GridSpace`` is similar to ``HoloMap``"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Other than the difference in the visual semantics, whereby ``GridSpaces`` display their contents together in a two-dimensional grid, ``GridSpaces`` are very similar to ``HoloMap``s (see the [``HoloMap``](./HoloMap.ipynb) notebook for more information).\n",
    "\n",
    "One way to demonstrate the similarity of these two containers is to cast our ``gridspace`` object to ``HoloMap`` and back to a ``GridSpace``:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hmap = hv.HoloMap(gridspace)\n",
    "hmap + hv.GridSpace(hmap)"
   ]
  }
 ],
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