使用nprandomrandint构造一个6行、100列的数据每个数的取值范围是0或1

import numpy as np

data = np.random.randint(0, 2, size=(6, 100))
print(data)

输出：

[[0 1 0 1 1 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 1 1 1 0 1 0 1
  0 0 1 1 0 0 1 0 1 0 0 1 1 1 0 1 1 0 0 1 1 0 0 1 0 1 1 1 0 0 0 1 0 0 0 1
  1 1 0 0 0 0 1 1 1 0 1 1 0 0 0 0 1 0 0 0 1 0 1 1 0 0 0 1 0 0 1 1 1 0 0 0
  1 0 0 0]
 [0 0 0 1 0 1 1 1 1 0 1 1 1 1 0 1 1 0 0 1 0 1 1 0 0 1 0 1 1 0 0 1 0 1 0 0
  1 1 0 0 0 0 0 1 0 0 0 1 0 1 1 1 1 0 1 1 1 1 0 0 1 1 1 1 0 0 1 0 1 0 0 0
  0 1 0 1 1 0 0 1 0 1 1 0 1 0 1 1 1 1 0 1 0 1 0 1 0 0 1 1 0 0 1 0 0 0 1 1
  0 1 1 0]
 [1 1 1 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 1 1 1 1 1 1 1 1 0 0 1 1 0 1
  1 1 0 0 0 0 0 0 0 1 0 1 1 0 1 1 1 1 1 0 0 1 1 1 0 0 0 1 0 1 0 1 0 0 1 0
  0 1 0 0 0 1 1 0 0 0 1 0 1 0 0 1 1 0 1 1 0 1 1 1 0 1 1 1 0 1 0 0 0 0 0
  0 0 0 0]
 [1 0 0 1 1 0 0 0 1 1 0 1 1 1 1 1 0 1 1 0 0 0 0 0 0 0 1 1 1 0 0 1 1 0 0 1
  1 1 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 1 1 0 1 1 1 0 1 0 0 0 1 1 0 0 1 0
  0 0 0 1 0 0 0 1 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 1 1 1 0 0
  1 1 1 1]
 [0 1 1 1 1 0 1 0 1 0 0 0 1 0 1 0 1 1 0 0 1 1 1 1 1 0 1 0 1 0 0 1 0 0 1 0
  0 0 1 1 1 0 1 1 1 1 1 1 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 1 1 1 1 0 0 1
  1 0 0 1 1 0 1 1 0 0 1 0 0 0 1 1 1 0 0 1 1 0 0 1 0 0 1 0 0 1 0 1 1 1 0
  0 0 1 1]
 [1 0 1 1 1 0 1 1 0 1 0 0 1 1 1 1 1 0 1 1 0 0 0 1 1 0 0 1 0 1 0 0 1 0 1 1 1
  1 0 1 0 0 1 1 0 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 0 0 1 0 1 1 0 1 1 1 1 1 0
  0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 1 1 0 1 1 1 1 1 0 0 0 1 1
  0 0 0 1]]
``