Skip to main content

Animation of matplotlib images

Project description

Build Status PyPI version Updates Python3 Cover

Helper functions to make animations of images with corresponding traces and labels using matplotlib

Example uses:

If you have a 3d movie (time, x, y):

from Animate.Movie import Movie
import numpy as np
m = Movie(dt=1.0 / 14, height_ratio=1.5)
img = np.random.randint(10, size=(40, 5, 5))
m.add_image(img, style='dark_img')
m.add_axis(x_label='time (s)', y_label='value')
m.add_trace(img.mean(axis=(1, 2)))
m.save('path/to/file/with_name', fps=1)
resources/example.gif

If you have a 2d movie (x, y) where you want to have a sliding window movie:

import numpy as np
from Animate.Movie import Movie

# prepare data
x_len = 300
x_res = 20.0
y_amplitude = 20
noise_amplitude = 5
x = np.arange(x_len) / x_res
y = np.sin(x) * y_amplitude
pix_number = 10
img = np.random.randint(0, noise_amplitude, size=pix_number*x_len).reshape(pix_number, x_len) + y

# make a movie
rate = 5.0
m = Movie(dt=1.0/rate)
m.add_image(img, animation_type='window', window_size=19, window_step=5)
m.add_axis('Time (s)', 'Mean value')
m.add_trace(img.mean(axis=0))
m.save('testing', fps=rate)
resources/window.gif

Testing

pytest --pep8 --cov=Animate --cov-report html

Deploying

bumpversion patch
python setup.py sdist
twine upload \dist\...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

animateimages-0.2.4.tar.gz (14.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page