{
“cells”: [
{

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

“# Logarithmic Timescalesn”, “n”, “Simply pass the keyword argument `log=True` to the Timeline, to get logarithmic timescales.”

]

}, {

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

{
“data”: {
“text/plain”: [

“<Figure size 640x480 with 3 Axes>”

]

}, “metadata”: {}, “output_type”: “display_data”

}

], “source”: [

“import numpy as npn”, “import matplotlib.pyplot as pltn”, “import animatplot as ampn”, “n”, “n”, “x = np.linspace(0, 1, 20)n”, “t = np.logspace(0, 2, 30)n”, “n”, “X, T = np.meshgrid(x, t)n”, “Y = np.sin(X * np.pi) * np.log(T)n”, “n”, “timeline = amp.Timeline(t, log=True)n”, “block = amp.blocks.Line(X, Y)n”, “anim = amp.Animation([block], timeline)n”, “n”, “plt.xlim([0, 1])n”, “plt.ylim([0, Y.max() + 1])n”, “n”, “anim.controls()n”, “anim.save_gif("logtime")n”, “plt.show()”

]

}, {

“cell_type”: “raw”, “metadata”: {

“raw_mimetype”: “text/restructuredtext”

}, “source”: [

“.. image:: logtime.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”: “3.6.6”

}

}, “nbformat”: 4, “nbformat_minor”: 2

}