Cleanup animation examples · matplotlib/matplotlib@8fa927f · GitHub
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Cleanup animation examples
I thought that the animation examples section was a bit of an unstructured mess so I tried to reorganize it somewhat. The new list of examples is simple examples =============== animation_demo: plt.pause example simple_anim: FuncAnimation example dynamic_image: FuncAnimation example dynamic_image2: ArtistAnimation example intermediate examples ===================== strip_chart: FuncAnimation example advanced examples ================= histogram: animating a composite artist (namely, a histogram) nice examples ============= bayes: FuncAnimation example double_pendulum: FuncAnimation example, skipped as needing scipy random_walk (renamed from simple_3danim): FuncAnimation example rain: FuncAnimation example unchained: FuncAnimation example movie writing ============= frame_grabbing_sgskip (renamed from moviewriter_sgskip.py) removed ======= animate_decay: overlaps with simple_anim basic_example: equivalent to {simple_anim + dynamic_image2} basic_example_writer_sgskip: split as comments to simple_anim/dynamic_image/dynamic_image2 random_data: overlaps with simple_anim, though using a generator subplots: relies on subclassing private attributes of TimedAnimation, would better be replaced by a FuncAnimation example, overly complex
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‎doc/api/animation_api.rst‎

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‎examples/animation/animate_decay.py‎

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‎examples/animation/basic_example.py‎

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‎examples/animation/basic_example_writer_sgskip.py‎

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examples/animation/bayes_update_sgskip.py renamed to examples/animation/bayes_update.py

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distribution should converge.
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"""
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# update a distribution based on new data.
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import math
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import numpy as np
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import matplotlib.pyplot as plt
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import scipy.stats as ss
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from matplotlib.animation import FuncAnimation
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def beta_pdf(x, a, b):
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return (x**(a-1) * (1-x)**(b-1) * math.gamma(a + b)
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/ (math.gamma(a) * math.gamma(b)))
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class UpdateDist(object):
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def __init__(self, ax, prob=0.5):
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self.success = 0
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# Choose success based on exceed a threshold with a uniform pick
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if np.random.rand(1,) < self.prob:
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self.success += 1
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y = ss.beta.pdf(self.x, self.success + 1, (i - self.success) + 1)
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y = beta_pdf(self.x, self.success + 1, (i - self.success) + 1)
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self.line.set_data(self.x, y)
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return self.line,
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examples/animation/double_pendulum_animated_sgskip.py renamed to examples/animation/double_pendulum_sgskip.py

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