Python 3D堆積條形圖char charlot

Question

我正在尋找一個三維條形圖，如圖所示here或here，但帶有堆疊條，如圖所示here。

任何人都有一個想法如何做到這兩個在同一個情節？

謝謝！

Answer 1

您可以在3 d條形圖中設置bottom，只是一樣的2-d：

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') 
colors = ['r', 'g', 'b', 'y'] 
for i, (c, z) in enumerate(zip(colors, [30, 20, 10, 0])): 
    xs = np.arange(20) 
    ys = np.random.rand(20) 
    ys2 = np.random.rand(20) 
    ys3 = np.random.rand(20) 

    # You can provide either a single color or an array. To demonstrate this, 
    # the first bar of each set will be colored cyan. 
    cs = [c] * len(xs) 
    cs[0] = 'c' 
    ax.bar(xs, ys, zs=z, zdir='y', color=cs, alpha=0.8) 
    ax.bar(xs, ys2, bottom=ys, zs=z, zdir='y', color=colors[(i+1)%4], alpha=0.8) 
    ax.bar(xs, ys3, bottom=ys+ys2, zs=z, zdir='y', color=colors[(i+2)%4], alpha=0.8) 

ax.set_xlabel('X') 
ax.set_ylabel('Y') 
ax.set_zlabel('Z') 

plt.show() 

Answer 2

您還可以使用bar3d做到這一點：在zpos參數允許你設置酒吧的底部。此處作爲一例基於從matplotlib例子演示代碼（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() 

Figure with the 3-D bar chart