python读取txt文件画三维图

#由三个一维坐标画三维散点  
#coding:utf-8
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.axes3d import Axes3D
x = []
y = []
z = []
f = open("data\record.txt")
line = f.readline()
while line:
    c,d,e = line.split()
    x.append(c)
    y.append(d)
    z.append(e)
    line = f.readline()
f.close()
#string型转int型
x = [ int( x ) for x in x if x ]
y = [ int( y ) for y in y if y ]
z = [ int( z ) for z in z if z ]
print x
fig=plt.figure()
ax=Axes3D(fig)
ax.scatter3D(x, y, z)
ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_zlabel('z')
plt.show()

#画三维线  
#coding:utf-8  
from mpl_toolkits.mplot3d import axes3d  
import matplotlib.pyplot as plt  
  
x = []  
y = []  
z = []  
f = open("data\record.txt")  
line = f.readline()  
while line:  
    c,d,e = line.split()  
    x.append(c)  
    y.append(d)  
    z.append(e)  
    line = f.readline()  
      
f.close()  
#string型转int型  
x = [ int( x ) for x in x if x ]  
y = [ int( y ) for y in y if y ]  
z = [ int( z ) for z in z if z ]  
  
#print x  
fig=plt.figure()  
ax = fig.gca(projection = '3d')  
ax.plot(x,y,z)  
ax.set_xlabel('x')  
ax.set_ylabel('y')  
ax.set_zlabel('z')  
plt.show()