代码:
import numpy as np
import matplotlib.pyplot as plt
import itertools
fig,ax = plt.subplots(3,4,figsize=(5,6))#生成一个fig上有3*4个ax,每个ax的大小是5*6
for i, j in itertools.product(range(3), range(4)):#笛卡儿积
ax[i, j].get_xaxis().set_visible(False)
ax[i, j].get_yaxis().set_visible(False)
print(i,j)
plt.show()
结果: