练习：绘制三维图像

#coding:utf-8
#/usr/bin/python
import numpy as np
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm


if __name__ == '__main__':
    mpl.rcParams['font.sans-serif'] = [u'SimHei']
    mpl.rcParams['axes.unicode_minus'] = False  # win正常显示中文设置

    x, y = np.mgrid[-3:3:7j, -3:3:7j]
    print(x)
    print(y)
    u = np.linspace(-3, 3, 101)
    x, y = np.meshgrid(u, u)
    print(x)
    print(y)
    z = np.exp(-(x**2 + y**2)/2) / np.sqrt(2*np.pi) #第一幅图 三维高斯分布
    # z = x*np.exp(-(x**2 + y**2)/2) / np.sqrt(2*np.pi)#第二幅图 
    # z = x * y * np.exp(-(x ** 2 + y ** 2) / 2) / np.sqrt(2 * np.pi)#第三幅图
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    # ax.plot_surface(x, y, z, rstride=5, cstride=5, cmap=cm.coolwarm, linewidth=0.1)  #
    ax.plot_surface(x, y, z, rstride=3, cstride=3, cmap=cm.viridis, linewidth=0.5)
    plt.show()
    # cmaps = [('Perceptually Uniform Sequential',
    #           ['viridis', 'inferno', 'plasma', 'magma']),
    #          ('Sequential', ['Blues', 'BuGn', 'BuPu',
    #                          'GnBu', 'Greens', 'Greys', 'Oranges', 'OrRd',
    #                          'PuBu', 'PuBuGn', 'PuRd', 'Purples', 'RdPu',
    #                          'Reds', 'YlGn', 'YlGnBu', 'YlOrBr', 'YlOrRd']),
    #          ('Sequential (2)', ['afmhot', 'autumn', 'bone', 'cool',
    #                              'copper', 'gist_heat', 'gray', 'hot',
    #                              'pink', 'spring', 'summer', 'winter']),
    #          ('Diverging', ['BrBG', 'bwr', 'coolwarm', 'PiYG', 'PRGn', 'PuOr',
    #                         'RdBu', 'RdGy', 'RdYlBu', 'RdYlGn', 'Spectral',
    #                         'seismic']),
    #          ('Qualitative', ['Accent', 'Dark2', 'Paired', 'Pastel1',
    #                           'Pastel2', 'Set1', 'Set2', 'Set3']),
    #          ('Miscellaneous', ['gist_earth', 'terrain', 'ocean', 'gist_stern',
    #                             'brg', 'CMRmap', 'cubehelix',
    #                             'gnuplot', 'gnuplot2', 'gist_ncar',
    #                             'nipy_spectral', 'jet', 'rainbow',
    #                             'gist_rainbow', 'hsv', 'flag', 'prism'])]