最佳答案
您还可以使用 bar3d 来完成此操作:zpos 参数允许您设置条形的底部。这里是一个基于 matplotlib 示例中的演示代码的示例 ( hist3d_demo.py )
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x, y = np.random.rand(2, 100) * 4
hist, xedges, yedges = np.histogram2d(x, y, bins=4, range=[[0, 4], [0, 4]])
# Construct arrays for the anchor positions of the 16 bars.
# Note: np.meshgrid gives arrays in (ny, nx) so we use 'F' to flatten xpos,
# ypos in column-major order. For numpy >= 1.7, we could instead call meshgrid
# with indexing='ij'.
xpos, ypos = np.meshgrid(xedges[:-1] + 0.25, yedges[:-1] + 0.25)
xpos = xpos.flatten('F')
ypos = ypos.flatten('F')
# z position set to zero
zpos = np.zeros_like(xpos)
# Construct arrays with the dimensions for the 16 bars.
dx = 0.5 * np.ones_like(zpos)
dy = dx.copy()
dz = hist.flatten()
# Create a random second histogram
dz2 = dz * np.random.rand(16)
# Set z position to the values of the first histogram
zpos2 = dz
ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b', zsort='average', alpha=0.7)
ax.bar3d(xpos, ypos, zpos2, dx, dy, dz2, color='r', zsort='average', alpha=0.7)
plt.show()
关于Python 3D 堆积条形图,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/35347091/