具有动画的子图之间的连接器修补程序不可见（matplotlib） [英] Connector patch between subplots with animation not visible (matplotlib)

问题描述

我正在使用具有5个子图的艺术家动画方法。左侧有一个静态图，右侧有3个较小的动画imshow图（颜色栏为第5个）。我已经成功使用ConnectionPatch连接了子图，以显示数据来自何处，但仅在静态图上显示。无论我如何尝试，我似乎都无法使补丁显示在动画中。我尝试将补丁添加到图像艺术家列表中，并尝试使用艺术家而不是轴来更新图形（我想这没有多大意义），等等。由于情节的复杂性，提取工作示例非常困难，但也许有人会给您一些建议。

I am using an artist animation method with 5 subplots. There is one static plot on the left, with 3 smaller animated imshow plots to the right (the colorbar is the 5th). I have successfully used ConnectionPatch to connect subplots to show where the data is coming from, but only on static plots. No matter what I try, I can't seem to get the patches to show up on the animation. I've tried to include the patch in the image artist list, tried to update the figure with the artist instead of the axis (which I guess doesn't make much sense), among other things. It will be very difficult to extract a working example due to the complexity of the plot, but maybe someone has a tip.

是否可以通过动画savefig_kwargs将面色设置为白色来掩盖连接线？如果是这样，如何更改色块/面色的z顺序？

Could setting the facecolor to 'white' with the animation savefig_kwargs be covering up the connector lines? If so, how do I change the z order of the patch/facecolor?

推荐答案

没有一个简单的示例，我只能告诉您可以动画中的 ConnectionPatch 。但是，如下所示，必须为每一帧重新创建它。

Without a minimal working example, I can only tell you that it is possible to use a ConnectionPatch in an animation. However, as seen below, one has to recreate it for every frame.

import matplotlib.pyplot as plt
import numpy as np; np.random.seed(0)
import matplotlib.gridspec as gridspec
from matplotlib.patches import ConnectionPatch
import matplotlib.animation
plt.rcParams["figure.figsize"] = np.array([6,3.6])*0.7

x = np.linspace(-3,3)
X,Y = np.meshgrid(x,x)
f = lambda x,y: (1 - x / 2. + x ** 5 + y ** 3) * np.exp(-x ** 2 - y ** 2)+1.5
Z = f(X,Y)

bins=np.linspace(Z.min(), Z.max(), 16)
cols = plt.cm.PuOr((bins[:-1]-Z.min())/(Z.max()-Z.min()))

gs = gridspec.GridSpec(2, 2, height_ratios=[34,53], width_ratios=[102,53])
fig = plt.figure()
ax=fig.add_subplot(gs[:,0])
ax2=fig.add_subplot(gs[0,1])
ax3=fig.add_subplot(gs[1,1])

ax.imshow(Z, cmap="PuOr")
rec = plt.Rectangle([-.5,-.5], width=9, height=9, edgecolor="crimson", fill=False, lw=2)
conp = ConnectionPatch(xyA=[-0.5,0.5], xyB=[9.5,4], coordsA="data", coordsB="data",
                      axesA=ax3, axesB=ax, arrowstyle="-|>", zorder=25, shrinkA=0, shrinkB=1,
                      mutation_scale=20, fc="w", ec="crimson", lw=2)
ax3.add_artist(conp)
ax.add_artist(rec)
im = ax3.imshow(Z[:9,:9], cmap="PuOr", vmin=Z.min(), vmax=Z.max())
ticks = np.array([0,4,8])
ax3.set_yticks(ticks); ax3.set_xticks(ticks)
ax2.hist(Z[:9,:9].flatten(), bins=bins)

def ins(px,py):
    global rec, conp, histpatches
    ll = [px-.5,py-.5]
    rec.set_xy(ll)
    conp.remove()
    conp = ConnectionPatch(xyA=[-0.5,0.5], xyB=[px+9.5,py+4], coordsA="data", coordsB="data",
                      axesA=ax3, axesB=ax, arrowstyle="-|>", zorder=25, shrinkA=0, shrinkB=1,
                      mutation_scale=20, fc="w", ec="crimson", lw=2)
    ax3.add_patch(conp)
    data = Z[px:px+9,py:py+9]
    im.set_data(data)
    ax3.set_xticklabels(ticks+px)
    ax3.set_yticklabels(ticks+py)
    ax2.clear()
    ax2.set_ylim(0,60)
    h, b_, patches = ax2.hist(data.flatten(), bins=bins, ec="k", fc="#f1a142")
    [pat.set_color(cols[i]) for i, pat in enumerate(patches)]

def func(p):
    px,py = p
    ins(px, py)

phi = np.linspace(0.,2*np.pi)
r = np.sin(2*phi)*20+np.pi/2
xr = (r*np.cos(phi)).astype(np.int8)
yr = (r*np.sin(phi)).astype(np.int8)

plt.subplots_adjust(top=0.93,bottom=0.11,left=0.04,right=0.96,hspace=0.26,wspace=0.15)
frames = np.c_[xr+20, yr+20]
ani = matplotlib.animation.FuncAnimation(fig, func, frames=frames, interval=300, repeat=True)

plt.show()

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