我收集了约150个数据列表。我想用直方图表示每个列表。我正在尝试对集合中每个数据列表的这些直方图进行动画处理，但是我对如何做到这一点感到困惑。
例如，这是收藏集中的5个列表：
string dataPath = @"C: \Users\....;
我基本上复制并粘贴了此演示中的代码：https://matplotlib.org/3.1.1/gallery/animation/animated_histogram.html 并在我的相同代码的实现中将100更改为10：
data = [[86.3, 61.3, 36.9, 54, 79, 104, 61.3, 36.3, 11.9, 29],
[83.45, 58.45, 34.8, 51.25, 76.25, 101.25, 58.45, 33.45, 9.8, 26.25],
[81.46, 56.46, 33.43, 49.06, 74.06, 99.06, 56.46, 31.46, 8.43, 24.06],
[79.65, 54.65, 32.225, 47.3, 72.3, 97.3, 54.65, 29.65, 7.225, 22.3],
[78.02, 53.02, 31.18, 45.96, 70.96, 95.96, 53.02, 28.02, 6.18, 20.96]]
输出是一个很好的直方图，但是我期望import matplotlib.patches as patches
import matplotlib.path as path
import matplotlib.animation as animation
n, bins = np.histogram(data, 10)
# get the corners of the rectangles for the histogram
left = np.array(bins[:-1])
right = np.array(bins[1:])
bottom = np.zeros(len(left))
top = bottom + n
nrects = len(left)
nverts = nrects * (1 + 3 + 1)
verts = nrects * (1 + 3 + 1)
verts = np.zeros((nverts, 2))
codes = np.ones(nverts, int) * path.Path.LINETO
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5, 0] = left
verts[0::5, 1] = bottom
verts[1::5, 0] = left
verts[1::5, 1] = top
verts[2::5, 0] = right
verts[2::5, 1] = top
verts[3::5, 0] = right
verts[3::5, 1] = bottom
def animate(i):
# simulate new data coming in
n, bins = np.histogram(data, 10)
top = bottom + n
verts[1::5, 1] = top
verts[2::5, 1] = top
return [patch, ]
fig, ax = plt.subplots()
barpath = path.Path(verts, codes)
patch = patches.PathPatch(
barpath, facecolor='green', edgecolor='yellow', alpha=0.5)
ax.add_patch(patch)
ax.set_xlim(left[0], right[-1])
ax.set_ylim(bottom.min(), top.max())
ani = animation.FuncAnimation(fig, animate, 10, repeat=False, blit=True)
plt.show()
中所有列表的动画，每个列表的直方图。如何使用此代码生成实际的动画？还是有更简单的方法可以完全做到这一点？