From cd7ba8268b4f2006c4c3777f079163ed706d0e5c Mon Sep 17 00:00:00 2001 From: Elliott Sales de Andrade Date: Thu, 5 Oct 2023 17:23:04 -0400 Subject: [PATCH] DOC: Fix resizing of animation examples On resize, either `init_func` will be called, or if not defined, the main `func` with `i=0` is called. On animations that save a state, the latter can cause weird glitching as the history will skip around. * For `bayes_update`, I fixed it by providing an `init_func`. * For `double_pendulum`, I fixed it by simplifying the trace line (since we have the entire history pre-computed.) --- galleries/examples/animation/bayes_update.py | 7 ++++++- galleries/examples/animation/double_pendulum.py | 11 ++--------- 2 files changed, 8 insertions(+), 10 deletions(-) diff --git a/galleries/examples/animation/bayes_update.py b/galleries/examples/animation/bayes_update.py index 86b6e5c342d1..1081b4704623 100644 --- a/galleries/examples/animation/bayes_update.py +++ b/galleries/examples/animation/bayes_update.py @@ -41,6 +41,11 @@ def __init__(self, ax, prob=0.5): # which the plotted distribution should converge. self.ax.axvline(prob, linestyle='--', color='black') + def start(self): + # Used for the *init_func* parameter of FuncAnimation; this is called when + # initializing the animation, and also after resizing the figure. + return self.line, + def __call__(self, i): # This way the plot can continuously run and we just keep # watching new realizations of the process @@ -62,5 +67,5 @@ def __call__(self, i): fig, ax = plt.subplots() ud = UpdateDist(ax, prob=0.7) -anim = FuncAnimation(fig, ud, frames=100, interval=100, blit=True) +anim = FuncAnimation(fig, ud, init_func=ud.start, frames=100, interval=100, blit=True) plt.show() diff --git a/galleries/examples/animation/double_pendulum.py b/galleries/examples/animation/double_pendulum.py index 5f8282daea0f..7a42a6d989ba 100644 --- a/galleries/examples/animation/double_pendulum.py +++ b/galleries/examples/animation/double_pendulum.py @@ -11,8 +11,6 @@ Output generated via `matplotlib.animation.Animation.to_jshtml`. """ -from collections import deque - import matplotlib.pyplot as plt import numpy as np from numpy import cos, sin @@ -92,19 +90,14 @@ def derivs(t, state): trace, = ax.plot([], [], '.-', lw=1, ms=2) time_template = 'time = %.1fs' time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes) -history_x, history_y = deque(maxlen=history_len), deque(maxlen=history_len) def animate(i): thisx = [0, x1[i], x2[i]] thisy = [0, y1[i], y2[i]] - if i == 0: - history_x.clear() - history_y.clear() - - history_x.appendleft(thisx[2]) - history_y.appendleft(thisy[2]) + history_x = x2[:i] + history_y = y2[:i] line.set_data(thisx, thisy) trace.set_data(history_x, history_y) pFad - Phonifier reborn

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