{
“cells”: [
{

“cell_type”: “markdown”, “metadata”: {}, “source”: [

“# Scatter”

]

}, {

“cell_type”: “code”, “execution_count”: 1, “metadata”: {}, “outputs”: [], “source”: [

“%matplotlib qtn”, “import numpy as npn”, “import matplotlib as mpln”, “import matplotlib.pyplot as pltn”, “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 docsn”, “plt.show()”

]

}, {

“cell_type”: “raw”, “metadata”: {

“raw_mimetype”: “text/restructuredtext”

}, “source”: [

“.. image:: scatter.gif”

]

}

], “metadata”: {

“celltoolbar”: “Raw Cell Format”, “kernelspec”: {

“display_name”: “Python 3”, “language”: “python”, “name”: “python3”

}, “language_info”: {

“codemirror_mode”: {

“name”: “ipython”, “version”: 3

}, “file_extension”: “.py”, “mimetype”: “text/x-python”, “name”: “python”, “nbconvert_exporter”: “python”, “pygments_lexer”: “ipython3”, “version”: “3.6.5”

}

}, “nbformat”: 4, “nbformat_minor”: 2

}