import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

#构造需要显示的值
X=np.arange(0, 5, step=1)#X轴的坐标
Y=np.arange(0, 9, step=1)#Y轴的坐标
#设置每一个（X，Y）坐标所对应的Z轴的值，在这边Z（X，Y）=X+Y
Z=np.zeros(shape=(5, 9))
for i in range(5):
  for j in range(9):
    Z[i, j]=i+j

xx, yy=np.meshgrid(X, Y)#网格化坐标
X, Y=xx.ravel(), yy.ravel()#矩阵扁平化
bottom=np.zeros_like(X)#设置柱状图的底端位值
Z=Z.ravel()#扁平化矩阵

width=height=1#每一个柱子的长和宽

#绘图设置
fig=plt.figure()
ax=fig.gca(projection='3d')#三维坐标轴
ax.bar3d(X, Y, bottom, width, height, Z, shade=True)#
#坐标轴设置
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z(value)')
plt.show()

fig=plt.figure()
  ax=fig.add_subplot(1, 3, 1, projection='3d')
  ax.bar3d(x, y, z, width, height, top, shade=True)

  ax=fig.add_subplot(1, 3, 2, projection='3d')
  ax.bar3d(x, y, z, width, height, top2, shade=True)

  ax=fig.add_subplot(1, 3, 3, projection='3d')
  ax.bar3d(x, y, z, width, height, top3, shade=True)

  plt.show()