如何为numpy数组变量中的每一行制作不同的元素？

Question

I try to make the output y that have different element per row. But when I print y again, the output show that y have the same element for each row. What is the correct way to create y with different element for each row?

import numpy as np
class temp:
  x = []
y = np.tile(temp, (3, 1))
y

Output

for i in range(3):
  y[i, 0].x = np.random.rand(1,5)
  print(y[i,0].x)

Output

for i in range(3):
  print(y[i,0].x)

Output

Answer 1

You shouldn't be trying to make arrays of custom class objects. This will not replicate the MATLAB struc (in your next question).

But if you do define a class, use a more conventional format, such as:

In [39]: class Temp:
    ...:     def __init__(self, x):
    ...:         self.x = x
    ...:     def __repr__(self):
    ...:         return f'Temp ({self.x})'
    ...:         

In [40]: a = Temp([1,2,3]); b = Temp([4,5])

In [41]: a
Out[41]: Temp ([1, 2, 3])

In [42]: a.x
Out[42]: [1, 2, 3]

In [43]: b
Out[43]: Temp ([4, 5])

a and b are instances of the class, each with their own x attribute.