A better way to build animated Matplotlib gifs. Just: pip install gif
Based on the "Data Visualization" category.
Alternatively, view gif alternatives based on common mentions on social networks and blogs.
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The matplotlib Animation Extension
pip install gif
import gif
import gif
from random import randint
from matplotlib import pyplot as plt
x = [randint(0, 100) for _ in range(100)]
y = [randint(0, 100) for _ in range(100)]
# (Optional) Set the dots per inch resolution to 300
gif.options.matplotlib["dpi"] = 300
# Decorate a plot function with @gif.frame
@gif.frame
def plot(i):
xi = x[i*10:(i+1)*10]
yi = y[i*10:(i+1)*10]
plt.scatter(xi, yi)
plt.xlim((0, 100))
plt.ylim((0, 100))
# Construct "frames"
frames = [plot(i) for i in range(10)]
# Save "frames" to gif with a specified duration (milliseconds) between each frame
gif.save(frames, 'example.gif', duration=50)
| [[arrival.gif](images/arrival.gif)](examples/arrival.py) | [[hop.gif](images/hop.gif)](examples/hop.py) | [[phone.gif](images/phone.gif)](examples/phone.py) |
|---|---|---|
| [[seinfeld.gif](images/seinfeld.gif)](examples/seinfeld.py) | [[spiral.gif](images/spiral.gif)](examples/spiral.py) | [[heart.gif](images/heart.gif)](heart.py) |
Altair and Plotly are no longer supported in 22.5.0+
Please use pip install gif==3.0.0 if you still need to interface with these libraries
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