在matplotlib

时间:2016-06-28 15:59:37

标签: python matplotlib

我正在尝试删除圆柱图中的边缘颜色,其中我设置了alpha和facecolors。但是,如果我也设置了脸部颜色,我仍然可以看到边缘颜色。如果我删除了alpha = 0.5语句,那么问题就解决了,但我需要alpha为< 1。这是一个例子:

enter image description here

你仍然可以看到蓝色边缘颜色甚至很难我将edgecolor设置为None。

这是我使用plot_surface()

的代码
ax.plot_surface(X, Y,Z, edgecolor = "None", facecolors = col1, alpha = 0.5)

然而边缘颜色还在吗?但是,如果我删除plot_surface()中的facecolors语句,则边缘颜色不再存在。这是完整的代码:

import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from scipy.linalg import norm
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import random
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
origin = np.array([0, 0, 0])
#axis and radius

p0 = np.array([0, 0, 0])
p1 = np.array([8, 8, 8])
R = 4
#vector in direction of axis
v = p1 - p0
#find magnitude of vector
mag = norm(v)
#unit vector in direction of axis
v = v / mag
#make some vector not in the same direction as v
not_v = np.array([1, 0, 0])
if (v == not_v).all():
    not_v = np.array([0, 1, 0])
#make vector perpendicular to v
n1 = np.cross(v, not_v)
#normalize n1
n1 /= norm(n1)
#make unit vector perpendicular to v and n1
n2 = np.cross(v, n1)
#surface ranges over t from 0 to length of axis and 0 to 2*pi
t = np.linspace(0, mag, 200)
theta = np.linspace(0, 2 * np.pi, 100)
#use meshgrid to make 2d arrays
t, theta = np.meshgrid(t, theta)
#generate coordinates for surface
X, Y, Z = [p0[i] + v[i] * t + R * np.sin(theta) * n1[i] + R * np.cos(theta) *        n2[i] for i in [0, 1, 2]]
col1 = plt.cm.Blues(np.linspace(0,1,200)) # linear gradient along the t-axis
col1 = np.repeat(col1[np.newaxis,:, :], 100, axis=0) # expand over the theta-    axis


ax.plot_surface(X, Y,Z, edgecolor = None, facecolors = col1, alpha = 0.5)
#plot axis
ax.plot(*zip(p0, p1), color = 'red')
ax.set_xlim(0, 10)
ax.set_ylim(0, 10)
ax.set_zlim(0, 10)
plt.axis('off')
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)

plt.show()

1 个答案:

答案 0 :(得分:1)

linewidth=0中设置plot_surface()解决了这个问题:

ax.plot_surface(X, Y, Z, edgecolor=None, facecolors=col1, alpha=0.5, linewidth=0)

enter image description here

p.s。:我觉得这不值得回答,但是根据Question with no answers, but issue solved in the comments (or extended in chat),我将其添加为快速回答,以便将问题标记为已解决