[yt-svn] commit/yt: xarthisius: Drop embedded_webm_animation cookbook recipe
commits-noreply at bitbucket.org
commits-noreply at bitbucket.org
Fri Aug 12 16:00:03 PDT 2016
1 new commit in yt:
https://bitbucket.org/yt_analysis/yt/commits/844f5912f3bb/
Changeset: 844f5912f3bb
Branch: yt
User: xarthisius
Date: 2016-08-12 20:55:32+00:00
Summary: Drop embedded_webm_animation cookbook recipe
Affected #: 3 files
diff -r a46f10f9e09c7cdca438f19057a9ddd6f4361c31 -r 844f5912f3bbbcda720ed4e46a4911a0fc2e862a doc/source/cookbook/embedded_webm_animation.ipynb
--- a/doc/source/cookbook/embedded_webm_animation.ipynb
+++ /dev/null
@@ -1,137 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "This example shows how to embed an animation produced by `matplotlib` into an IPython notebook. This example makes use of `matplotlib`'s [animation toolkit](http://matplotlib.org/api/animation_api.html) to transform individual frames into a final rendered movie. \n",
- "\n",
- "Matplotlib uses [`ffmpeg`](http://www.ffmpeg.org/) to generate the movie, so you must install `ffmpeg` for this example to work correctly. Usually the best way to install `ffmpeg` is using your system's package manager."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "import yt\n",
- "from matplotlib import animation"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "First, we need to construct a function that will embed the video produced by ffmpeg directly into the notebook document. This makes use of the [HTML5 video tag](http://www.w3schools.com/html/html5_video.asp) and the WebM video format. WebM is supported by Chrome, Firefox, and Opera, but not Safari and Internet Explorer. If you have trouble viewing the video you may need to use a different video format. Since this uses `libvpx` to construct the frames, you will need to ensure that ffmpeg has been compiled with `libvpx` support."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "from tempfile import NamedTemporaryFile\n",
- "import base64\n",
- "\n",
- "VIDEO_TAG = \"\"\"<video controls>\n",
- " <source src=\"data:video/x-webm;base64,{0}\" type=\"video/webm\">\n",
- " Your browser does not support the video tag.\n",
- "</video>\"\"\"\n",
- "\n",
- "def anim_to_html(anim):\n",
- " if not hasattr(anim, '_encoded_video'):\n",
- " with NamedTemporaryFile(suffix='.webm') as f:\n",
- " anim.save(f.name, fps=6, extra_args=['-vcodec', 'libvpx'])\n",
- " video = open(f.name, \"rb\").read()\n",
- " anim._encoded_video = base64.b64encode(video)\n",
- " \n",
- " return VIDEO_TAG.format(anim._encoded_video.decode('ascii'))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Next, we define a function to actually display the video inline in the notebook."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "from IPython.display import HTML\n",
- "\n",
- "def display_animation(anim):\n",
- " plt.close(anim._fig)\n",
- " return HTML(anim_to_html(anim))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Finally, we set up the animation itsself. We use yt to load the data and create each frame and use matplotlib to stitch the frames together. Note that we customize the plot a bit by calling the `set_zlim` function. Customizations only need to be applied to the first frame - they will carry through to the rest.\n",
- "\n",
- "This may take a while to run, be patient."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "collapsed": false
- },
- "outputs": [],
- "source": [
- "import matplotlib.pyplot as plt\n",
- "from matplotlib.backends.backend_agg import FigureCanvasAgg\n",
- "\n",
- "prj = yt.ProjectionPlot(yt.load('Enzo_64/DD0000/data0000'), 0, 'density', weight_field='density',width=(180,'Mpccm'))\n",
- "prj.set_zlim('density',1e-32,1e-26)\n",
- "fig = prj.plots['density'].figure\n",
- "\n",
- "# animation function. This is called sequentially\n",
- "def animate(i):\n",
- " ds = yt.load('Enzo_64/DD%04i/data%04i' % (i,i))\n",
- " prj._switch_ds(ds)\n",
- "\n",
- "# call the animator. blit=True means only re-draw the parts that have changed.\n",
- "anim = animation.FuncAnimation(fig, animate, frames=44, interval=200, blit=False)\n",
- "\n",
- "# call our new function to display the animation\n",
- "display_animation(anim)"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 2",
- "language": "python",
- "name": "python2"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 2
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython2",
- "version": "2.7.10"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff -r a46f10f9e09c7cdca438f19057a9ddd6f4361c31 -r 844f5912f3bbbcda720ed4e46a4911a0fc2e862a doc/source/cookbook/embedded_webm_animation.rst
--- a/doc/source/cookbook/embedded_webm_animation.rst
+++ /dev/null
@@ -1,4 +0,0 @@
-Making animations using matplotlib and ffmpeg
----------------------------------------------
-
-.. notebook:: embedded_webm_animation.ipynb
diff -r a46f10f9e09c7cdca438f19057a9ddd6f4361c31 -r 844f5912f3bbbcda720ed4e46a4911a0fc2e862a doc/source/cookbook/index.rst
--- a/doc/source/cookbook/index.rst
+++ b/doc/source/cookbook/index.rst
@@ -41,7 +41,6 @@
notebook_tutorial
custom_colorbar_tickmarks
- embedded_webm_animation
gadget_notebook
owls_notebook
../visualizing/transfer_function_helper
Repository URL: https://bitbucket.org/yt_analysis/yt/
--
This is a commit notification from bitbucket.org. You are receiving
this because you have the service enabled, addressing the recipient of
this email.
More information about the yt-svn
mailing list