mmf-contexts 0.1.2

Tools for producing animations and movies (FPS, NoInterrupt contexts)

MMF Contexts

This package provides a set of contexts to help working with Jupyter notebooks, especially producing animations, movies, and managing signals.

Usage

The main use-case is to do your work in an FPS context:

from mmf_contexts import FPS
for n in FPS(30, fps=10):
    print(n)

This adds the following functionality:

1. KeyboardInterrupts are suspended during the loop body and will be processed each cycle. Thus, the actions in the loop are safe from being interrupted in a sensitive location. This allows you to use Ctrl-C etc. to stop the loop without crashing your program. (If you really need to stop it immediately, you can send 3 Ctrl-C in rapid succession.)
2. The loop will be rate limited to a maximum of approximately 10 frames per second.

A nice use-case is to make movies. The following works well in Jupyter Notebooks:

%matplotlib
import numpy as np, matplotlib.pyplot as plt

from mmf_contexts import FPS

x = np.linspace(0, 1)
fs = np.linspace(1, 30)

fig, ax = plt.subplots()
for f in FPS(fs, display=fig, embed=True, filename="mymovie.mp4"):
    ax.cla()
    ax.plot(x, np.sin(f*x))

This will make an animation while running in the Jupyter notebook, then embed this animation as a movie so you can view it even if the notebook is running. Finally, it will also save the animation to the file mymovie.mp4.

To Do: This does not yet work with standard IPython terminals since it relies on display. Support for more general use-cases is a work in progress.

Change Log

REL: 0.1.2

• Just add README.md so PyPI has a description. No code changes.

REL: 0.1.1

• Added README.md documentation.
• Fixed bug with Jupyter Notebooks and movies (missing MovieWriter). *(We need to find a good way of automating tests with Jupyter notbeook.)
• Fixed links to docs etc.

REL: 0.1.0

Initial release. Attempted to upload this as animate to PyPI, but this is not allowed, so we are renaming it mmf-contexts.