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我使用Matplotlib在python中创建了一个可爱的3D位移矢量场,我对结果感到满意。然而,从视觉上看,只有方向才能看到位移的大小。 Python中有没有一种方法可以对箭头使用色标,以便位移的大小更清晰/更明显。使用matplotlib绘制3D颤抖功能颜色映射
这是我迄今为止
#%% Import Libraries
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
#%% Import tsv file of results
path = 'W:/Scott/Continuous_DIC_Results/A35_L7-8_500x500x1000/'
name = 'Z=-5,200,-20,20,spm100'
results = np.loadtxt(path+name+'.tsv', dtype=float, comments='#', delimiter=None, converters=None, skiprows=1, usecols=(1,2,3,4,5,6), unpack=False, ndmin=0)
Z,Y,X = results[:,0], results[:,1],results[:,2]
dz,dy,dx = results[:,3],results[:,4],results[:,5]
#%% Plot Displacement Field
fig = plt.figure()
ax = fig.gca(projection='3d')
ax.quiver(X, Y, Z, dx, dy, dz, # data
length=20, # arrow length
color='Tomato' # arrow colour
)
ax.set_title('3D Vector Field') # title
ax.view_init(elev=18, azim=30) # camera elevation and angle
ax.dist=8 # camera distance
plt.show()
我试过这个,但现在我得到一个ty pe错误:您必须首先将数组设置为可映射。抱歉,我是Matplotlib的新用户 –
fig = plt.figure(); ax = fig.gca(projection ='3d'); qq = ax.quiver(X,Y,Z,dx,dy,dz,mag,cmap = plt.cm.jet); ax.set_title('3D Vector Field'); ax.view_init(elevation = 18,azim = 30); ax.dist = 8; plt.colorbar(qq,cmap = plt.cm.jet); plt.show() –
我不认为你发布的作品在3D –