{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "URL: http://matplotlib.org/examples/pie_and_polar_charts/polar_scatter_demo.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import holoviews as hv\n",
    "from holoviews import dim\n",
    "\n",
    "hv.extension('matplotlib')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute areas and colors\n",
    "N = 150\n",
    "r = 2 * np.random.rand(N)\n",
    "theta = 2 * np.pi * np.random.rand(N)\n",
    "colors = theta\n",
    "\n",
    "scatter = hv.Scatter((theta, r), 'theta', 'r').redim(r=dict(range=(0,2.5)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scatter.opts(\n",
    "    alpha=0.75, color='theta', cmap='hsv', projection='polar', s=dim('r')*200)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}