#由三個一維坐標畫三維散點 

#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型轉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() 

#
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型轉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()