{
 "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> Scatter3D Element</dd>\n",
    "  <dt>Dependencies</dt> <dd>Matplotlib</dd>\n",
    "  <dt>Backends</dt> <dd><a href='../matplotlib/Scatter3D.ipynb'>Matplotlib</a></dd> <dd><a href='./Scatter3D.ipynb'>Plotly</a></dd>\n",
    "</dl>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import holoviews as hv\n",
    "from holoviews import dim, opts\n",
    "\n",
    "hv.extension('plotly')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "``Scatter3D`` plots represents three-dimensional coordinates which are specified as key dimensions (`kdims`, default `kdims` are x, y, z). The points can be given a `marker`, `color` and `size`. Additionally a `colorbar` can be added.\n",
    "\n",
    "``Scatter3D`` plots are therefore very similar to [``Points``](Points.ipynb) and [``Scatter``](Scatter.ipynb) types, but have one additional coordinate dimension.\n",
    "\n",
    "Like other 3D elements the camera angle can be controlled using `azimuth`, `elevation` and `distance` plot options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y,x = np.mgrid[-5:5, -5:5] * 0.1\n",
    "z=np.sin(x**2+y**2)\n",
    "\n",
    "hv.Scatter3D((x.flat,y.flat,z.flat)).opts(cmap='fire', color='z', size=5, colorbar=True, height=600, width=600)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also provide your data in a container and specify the `kdims` to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame(dict(lat=x.flat, lon=y.flat, height=z.flat))\n",
    "\n",
    "hv.Scatter3D(data, kdims=[\"lat\", \"lon\", \"height\"]).opts(cmap='blues', color='height', size=3, colorbar=True, height=600, width=600, colorbar_opts={'title': 'height (m)'}, marker=\"diamond\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just like all regular 2D elements, ``Scatter3D`` types can be overlaid and will follow the default color cycle: \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "(hv.Scatter3D(np.random.randn(100,4), vdims='Size') * hv.Scatter3D(np.random.randn(100,4)+2, vdims='Size')).opts(\n",
    "    opts.Scatter3D(size=(5+dim('Size'))*2, marker='diamond', height=600, width=600)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For full documentation and the available style and plot options, use ``hv.help(hv.Scatter3D).``"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hv.help(hv.Scatter3D)"
   ]
  }
 ],
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