#---coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = Axes3D(fig)
#X Y value
X = np.arange(-4,4,0.25) # X -4 - 4 的 -32个点
Y = np.arange(-4,4,0.25) # Y -4 - 4 的 -32个点
X,Y = np.meshgrid(X,Y) # 生成32X32网络 ？
R = np.sqrt(X**2 + Y**2) # 算出32X32 的矩阵 数值为 X**2+Y**2
#hight value
Z = np.sin(R) # 高程数据
#伪3D显示
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=plt.get_cmap('rainbow'))
"""
============= ================================================
Argument Description
============= ================================================
*X*, *Y*, *Z* Data values as 2D arrays
*rstride* Array row stride (step size), defaults to 10
*cstride* Array column stride (step size), defaults to 10
*color* Color of the surface patches
*cmap* A colormap for the surface patches.
*facecolors* Face colors for the individual patches
*norm* An instance of Normalize to map values to colors
*vmin* Minimum value to map
*vmax* Maximum value to map
*shade* Whether to shade the facecolors
============= ================================================
"""
# I think this is different from plt12_contours
#平面投影
ax.contourf(X, Y, Z, zdir='z', offset=-2, cmap=plt.get_cmap('rainbow'))
"""
========== ================================================
Argument Description
========== ================================================
*X*, *Y*, Data values as numpy.arrays
*Z*
*zdir* The direction to use: x, y or z (default)
*offset* If specified plot a projection of the filled contour
on this position in plane normal to zdir
========== ================================================
"""
ax.set_zlim(-2, 2) # Z坐标范围为 -2 -2
plt.show()
"""
坑---- 此文件为网络抄回，运行没问题，但改了下从文件中读取出来的所谓数字其实是string ，必须转换成float :
f_arr=f_line.replace("\n","").split(":") # 干掉换行符以冒号分割各元组
arr.append(f_arr[0]) # 第一列为字符串，直接append
t_time=map(float,f_arr[1:]) # 后面各列需由字符串类型转为浮点数
arr.extend(t_time) # 整理后各列归队
arr_all.append(arr) # 加入到准备转矩阵的数组中
"""