Matplotlib 3d 条形图不按顺序绘制*一些* 条形图

Question

好的，我有一些代码用于在 matplotlib 中绘制 3d 图表（基于这个很棒的答案 here）。这是简化版：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib

plt.close("all")

data1 = pd.DataFrame.from_dict(
    {
        "0": {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9, 10: 10},
        "1": {0: 10, 1: 0, 2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 7, 9: 8, 10: 9},
        "2": {0: 9, 1: 10, 2: 0, 3: 1, 4: 2, 5: 3, 6: 4, 7: 5, 8: 6, 9: 7, 10: 8},
        "3": {0: 8, 1: 9, 2: 10, 3: 0, 4: 1, 5: 2, 6: 3, 7: 4, 8: 5, 9: 6, 10: 7},
        "4": {0: 7, 1: 8, 2: 9, 3: 10, 4: 0, 5: 1, 6: 2, 7: 3, 8: 4, 9: 5, 10: 6},
        "5": {0: 6, 1: 7, 2: 8, 3: 9, 4: 10, 5: 0, 6: 1, 7: 2, 8: 3, 9: 4, 10: 5},
        "6": {0: 5, 1: 6, 2: 7, 3: 8, 4: 9, 5: 10, 6: 0, 7: 1, 8: 2, 9: 3, 10: 4},
        "7": {0: 4, 1: 5, 2: 6, 3: 7, 4: 8, 5: 9, 6: 10, 7: 0, 8: 1, 9: 2, 10: 3},
        "8": {0: 3, 1: 4, 2: 5, 3: 6, 4: 7, 5: 8, 6: 9, 7: 10, 8: 0, 9: 1, 10: 2},
        "9": {0: 2, 1: 3, 2: 4, 3: 5, 4: 6, 5: 7, 6: 8, 7: 9, 8: 10, 9: 0, 10: 1},
        "10": {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 7, 7: 8, 8: 9, 9: 10, 10: 0},
    }
)
data2 = pd.DataFrame.from_dict(
    {
        "0": {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9, 10: 10},
        "1": {0:np.nan,1:0.0,2:1.0,3:2.0,4:3.0,5:4.0,6:5.0,7:6.0,8:7.0,9:8.0,10:9.0,},
        "2":{0:np.nan,1:np.nan,2:0.0,3:1.0,4:2.0,5:3.0,6:4.0,7:5.0,8:6.0,9:7.0,10:8.0,},
        "3":{0:np.nan,1:np.nan,2:np.nan,3:0.0,4:1.0,5:2.0,6:3.0,7:4.0,8:5.0,9:6.0,10:7.0,},
        "4":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:0.0,5:1.0,6:2.0,7:3.0,8:4.0,9:5.0,10:6.0,},
        "5":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:np.nan,5:0.0,6:1.0,7:2.0,8:3.0,9:4.0,10:5.0,},
        "6":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:np.nan,5:np.nan,6:0.0,7:1.0,8:2.0,9:3.0,10:4.0,},
        "7":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:np.nan,5:np.nan,6:np.nan,7:0.0,8:1.0,9:2.0,10:3.0,},
        "8":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:np.nan,5:np.nan,6:np.nan,7:np.nan,8:0.0,9:1.0,10:2.0,},
        "9":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:np.nan,5:np.nan,6:np.nan,7:np.nan,8:np.nan,9:0.0,10:1.0,},
        "10":{0:np.nan,1:np.nan,2:np.nan,3:np.nan,4:np.nan,5:np.nan,6:np.nan,7:np.nan,8:np.nan,9:np.nan,10:0.0,},
    }
)

fig=plt.figure(figsize=(8,3))
ax1=fig.add_subplot(121, projection="3d")
ax2=fig.add_subplot(122, projection="3d")

#thickness of the bars
dx, dy = 1, 1

# set up positions for the bars
xpos = np.arange(data1.shape[0])
ypos = np.arange(data1.shape[1])

# create meshgrid
# print xpos before and after this block if not clear
xpos, ypos = np.meshgrid(xpos, ypos)
xpos = xpos.flatten()
ypos = ypos.flatten()

# the bars starts from 0 attitude
zpos = np.zeros(data1.shape).flatten()

# the bars' heights
dz1 = data1.values.ravel()
dz2 = data2.values.ravel()

ma = np.nanmax(data1.values)
norm = matplotlib.colors.Normalize(vmin=0, vmax=10, clip=True)

# # plot
ax1.bar3d(xpos, ypos, zpos, dx, dy, dz1, shade=True, ec="k", lw=0.1)
ax2.bar3d(xpos, ypos, zpos, dx, dy, dz2, shade=True, ec="k", lw=0.1)

# set up the axes furniture
for ax in [ax1, ax2]:

    ax.set_xticks(xpos + dx / 2)
    ax.set_yticks(ypos + dy / 2)
    ax.w_yaxis.set_ticklabels([])
    ax.w_xaxis.set_ticklabels([])
    ax.w_zaxis.set_ticklabels([])
    ax.set_zlim(0, 10.5)
    ax.set_xlim(0, 10.5)
    ax.set_ylim(0, 10.5)

    # name the axes
    ax.set_xlabel("x")
    ax.set_ylabel("y")
    ax.set_zlabel("z")

plt.show()

结果如下图：

左边的图表在正确的位置显示了所有内容（尽管您可能需要运行代码并旋转图表才能看到自己）但右边的图表不按顺序绘制条形图，我们最终得到了一些东西有点……奇怪。

我的问题是

1. 这里发生了什么，以及
2. 有没有办法在 matplotlib 中解决这个问题，如果有，如何解决？

谢谢！