1.python代碼：

1 importnumpy as np

2 importmatplotlib.pyplot as plt

3 from mpl_toolkits.mplot3d importAxes3D

4 #f=open('point cloud.txt','r')

5 f=open('11D-zhongxin1-1_RawXYZ_ds_part2.xyz','r')

6 point=f.read()

7 f.close()

8 l1=point.replace('\n',',')

9 l2=l1.split(',')

10 l2.pop()

11 #print(l2)

12 m1=np.array(l2[0:120000])

13 print(len(m1))

14 #m2=m1.reshape(265565,4)

15 m2=m1.reshape(30000,4)

16 print(m2)

17 m3=[]

18 for each inm2:

19 each_line=list(map(lambdax:float(x),each))

20 m3.append(each_line)

21 m4=np.array(m3)

22

23 x=[k[0] for k inm4]

24 y=[k[1] for k inm4]

25 z=[k[2] for k inm4]

26

27 fig=plt.figure(dpi=120)

28 ax=fig.add_subplot(111,projection='3d')

29 plt.title('point cloud')

30 ax.scatter(x,y,z,c='b',marker='.',s=2,linewidth=0,alpha=1,cmap='spectral')

31

32 #ax.set_facecolor((0,0,0))

33 ax.axis('scaled')

34 # ax.xaxis.set_visible(False)

35 # ax.yaxis.set_visible(False)

36 ax.set_xlabel('X Label')

37 ax.set_ylabel('Y Label')

38 ax.set_zlabel('Z Label')

39 plt.show()

2.運行結果如下：

3.點云的數據格式如下(1-15)，其中前三列為x,y,z的坐標，我們取用前三列，第四列可以忽略：

658660.61,4231154.24,-13.69,-13.690001

658660.21,4231154.44,-14.12,-14.120000

658660.41,4231154.44,-14.02,-14.025000

658660.61,4231154.44,-14.19,-14.195000

658660.81,4231154.44,-14.13,-14.132500

658661.01,4231154.44,-14.16,-14.160000

658661.21,4231154.44,-13.94,-13.935000

658660.21,4231154.64,-14.07,-14.073333

658660.41,4231154.64,-14.13,-14.127778

658660.61,4231154.64,-14.15,-14.155000

658660.81,4231154.64,-14.06,-14.055000

658661.01,4231154.64,-13.98,-13.977500

658661.21,4231154.64,-13.81,-13.805000

658661.61,4231154.64,-13.94,-13.940000

658660.01,4231154.84,-14.15,-14.150000

總結

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