{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib qt\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import animatplot as amp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sample data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.linspace(0, 10, 100)\n",
    "t = np.linspace(0, 2 * np.pi, 100)\n",
    "\n",
    "X, T = np.meshgrid(x, t)\n",
    "\n",
    "Y1 = np.sin(X + T)\n",
    "Y2 = np.sin(X + T + np.pi / 2)\n",
    "\n",
    "Sizes = 20 * np.cos(X - 5 * T) ** 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Producing the animation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeline = amp.Timeline(T, fps=10)\n",
    "block1 = amp.blocks.Scatter(X, Y1, Sizes, c=\"r\")\n",
    "block2 = amp.blocks.Scatter(X, Y2, 1, c=\"b\")\n",
    "anim = amp.Animation([block1, block2], timeline)\n",
    "\n",
    "anim.controls()\n",
    "anim.save_gif(\"scatter\")  # save animation for the docs\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ".. image:: scatter.gif"
   ]
  }
 ],
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