使用PolyCollection

Question

我使用它使用PolyCollection堆疊XY-地塊mplot3d例如matplotlib mplot3d情節出現奇數行的文物，http://matplotlib.org/examples/mplot3d/polys3d_demo.html

但是，我看到的情節有些奇怪線文物。

• 如何刪除從可見區域消失的水平線？
• 沿深度方向堆積XY圖有沒有更好的方法？

下面的腳本生成該地塊，

from mpl_toolkits.mplot3d import Axes3D 
from matplotlib.collections import PolyCollection 
from matplotlib.colors import colorConverter 
import matplotlib.pyplot as plt 
import numpy as np 

zs = [] 
fig = plt.figure() 
ax = fig.gca(projection='3d') 
verts = [] 

# XY data (i.e. "normal line plots") 
count = 4 
for i in range(count): 
    xs, ys = [800.0, 900.0, 1000.0, 1100.], [0., 1., 1., 0.] 
    verts.append(list(zip(xs, ys))) 

# Z position (i.e. depth at which the XY plot is drawn) 
zs = [0,1,2,3] 

colours = plt.cm.Blues(np.linspace(0.2, 0.8, len(zs))) 
poly = PolyCollection(verts, facecolors = colours) 
ax.add_collection3d(poly, zs=zs, zdir='y') 

ax.set_xlabel('X') 
ax.set_xlim3d(800,1150) 
ax.set_ylabel('Y') 
ax.set_ylim3d(0, 4) 
ax.set_zlabel('Z') 
ax.set_zlim3d(0, 1) 
plt.show() 

Answer 1

如果你仍然有這個問題，嘗試手動改變相應的路徑對象。你應該修改的最後頂點的代碼STOP（代碼0）：

from mpl_toolkits.mplot3d import Axes3D 
from matplotlib.collections import PolyCollection 
from matplotlib.colors import colorConverter 
import matplotlib.pyplot as plt 
import numpy as np 

zs = [] 
fig = plt.figure() 
ax = fig.gca(projection='3d') 
verts = [] 

# XY data (i.e. "normal line plots") 
count = 4 
for i in range(count): 
    xs, ys = [800.0, 900.0, 1000.0, 1100.], [0., 1., 1., 0.] 
    verts.append(list(zip(xs, ys))) 

# Z position (i.e. depth at which the XY plot is drawn) 
zs = [0,1,2,3] 

colours = plt.cm.Blues(np.linspace(0.2, 0.8, len(zs))) 
poly = PolyCollection(verts, facecolors = colours) 

for path in poly.get_paths() : # There is the fix : 
    path.codes[-1] = 0  # we have to manually switch the last point in a path to STOP (code = 0) 

ax.add_collection3d(poly, zs=zs, zdir='y') 

ax.set_xlabel('X') 
ax.set_xlim3d(800,1150) 
ax.set_ylabel('Y') 
ax.set_ylim3d(0, 4) 
ax.set_zlabel('Z') 
ax.set_zlim3d(0, 1) 
plt.show() 

...這裏是結果：