1. 繪制基本三維曲線

# import necessary module
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np# load data from file
# you can replace this using with open
data1 = np.loadtxt("./pos.txt")
# print (data1)
num=data1.sizedatax = data1[:, 0]
datay = data1[:, 1]
dataz = data1[:, 2]print (datax)
print (datay)
print (dataz)numx=datax.size
print(numx)
numy=datay.size
print(numy)
numz=dataz.size
print(numz)# new a figure and set it into 3d
fig = plt.figure()
ax = fig.gca(projection='3d')# set figure information
ax.set_title("3D_Curve")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")# draw the figure, the color is r = read
figure = ax.plot(datax, datay, dataz, c='r')plt.show()

2. 同一張圖中繪制多個三維曲線

# import necessary module
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
from pylab import *# load data from file
# you can replace this using with open
data1 = np.loadtxt("./pos.txt")
datax = data1[:, 0]
datay = data1[:, 1]
dataz = data1[:, 2]data2 = np.loadtxt("./pos.txt")
data2x = data2[:, 0]
data2y = data2[:, 1]
data2z = data2[:, 2]# new a figure and set it into 3d
fig = plt.figure()
ax = fig.gca(projection='3d')# set figure information
ax.set_title("3D_Curve")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")# draw the figure, the color is r = read
figure1 = ax.plot(datax, datay, dataz, c='r',marker='*',linestyle='--')
figure2 = ax.plot(data2x, data2y, data2z+0.01, c='b',marker='^',linestyle='-')
plt.show()

3. 將區域劃分后繪制三維圖像

# import necessary module
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
from pylab import *# load data from file
# you can replace this using with open
data1 = np.loadtxt("./pos.txt")
datax = data1[:, 0]
datay = data1[:, 1]
dataz = data1[:, 2]data2 = np.loadtxt("./pos_ros.txt")
data2x = data2[:, 0]
data2y = data2[:, 1]
data2z = data2[:, 2]# new a figure and set it into 3d
fig = plt.figure()
# ############ first subplot ############
ax = fig.add_subplot(3, 3, 1, projection='3d')
# ax = fig.gca(projection='3d')# set figure information
ax.set_title("3D_Curve")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")# draw the figure, the color is r = read
figure1 = ax.plot(datax, datay, dataz, c='r',marker='*',linestyle='-')
# figure2 = ax.plot(data2x, data2y, data2z, c='b',marker='^',linestyle='-')# plt.figure(1)# ############ second subplot ############
ax = fig.add_subplot(3, 3, 2, projection='3d')# set figure information
ax.set_title("3D_Curve2")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")# draw the figure, the color is r = read
# figure1 = ax.plot(datax, datay, dataz, c='r',marker='*',linestyle='-')
figure2 = ax.plot(data2x, data2y, data2z, c='b',marker='^',linestyle='-')# ############ third subplot ############
ax = fig.add_subplot(3, 3, 3, projection='3d')# set figure information
ax.set_title("3D_Curve3")
ax.set_xlabel("x")
ax.set_ylabel("y")
ax.set_zlabel("z")# draw the figure, the color is r = read
figure1 = ax.plot(datax, datay, dataz, c='r',marker='*',linestyle='-')
figure2 = ax.plot(data2x, data2y, data2z+0.01, c='b',marker='^',linestyle='-')plt.show()

4. plot

5.reference

https://blog.csdn.net/qq_34859482/article/details/80617391

總結

以上是生活随笔為你收集整理的matplotlib绘制三维轨迹图的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。