Python实现读取txt文件并画三维图简单代码示例

#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() 

#coding: utf - 8from mpl_toolkits.mplot3dimport axes3dimport matplotlib.pyplot as pltx = []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 xfig = 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()