20220423draw

• 前言：
• 1.matlab代码
• 2.python

上个星期遇见一个大数据的同学给我看python绘图，我发现和matlab很像，刚刚突发奇想想玩

[x,y]=meshgrid(1:0.1:10,1:0.1:20);
z=sin(x)+cos(y);
s=surf(x,y,z)
colorbar

[x,y]=meshgrid(1:0.1:10,1:0.1:20);
z=sin(x)+cos(y);
s=surf(x,y,z)
colorbar
s.EdgeColor='none';

import matplotlib.pyplot as plt
import numpy as np
import matplotlib.gridspec as gridspec

fig = plt.figure(tight_layout=True)
gs = gridspec.GridSpec(2, 2)

ax = fig.add_subplot(gs[0, :])
ax.plot(np.arange(0, 1e6, 1000))
ax.set_ylabel('YLabel0')
ax.set_xlabel('XLabel0')

for i in range(2):
    ax = fig.add_subplot(gs[1, i])
    ax.plot(np.arange(1., 0., -0.1) * 2000., np.arange(1., 0., -0.1))
    ax.set_ylabel('YLabel1 %d' % i)
    ax.set_xlabel('XLabel1 %d' % i)
    if i == 0:
        for tick in ax.get_xticklabels():
            tick.set_rotation(55)
fig.align_labels()  # same as fig.align_xlabels(); fig.align_ylabels()

plt.show()