# Example arrays A and B
A = np.array([[1, 2, 3], [4, 5, 6]])
B = np.array([['a', 'b'], ['c', 'd'], ['e', 'f']])

# Repeat each row of A for the number of rows in B
repeated_A = np.repeat(A, B.shape[0], axis=0)

# Tile B for the number of times A has rows
tiled_B = np.tile(B, (A.shape[0], 1))

# Combine repeated_A and tiled_B along the second axis
C = np.hstack((repeated_A, tiled_B))

print(C)

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使用generator可以接受吗？如果可以，也许这样的东西可以工作：

rows_A, cols_A = A.shape
rows_B, cols_B = B.shape

def generate_rows():
    for i in range(rows_A):
        for j in range(rows_B):
            yield np.concatenate((A[i], B[j]))

C = np.fromiter(generate_rows(), dtype=object, count=rows_A * rows_B)

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import numpy as np

ai,bi = np.mgrid[0:A.shape[0],0:B.shape[0]].reshape(2,-1)
np.c_[A[ai], B[bi]]
array([['1', '2', '3', 'a', 'b'],
       ['1', '2', '3', 'c', 'd'],
       ['1', '2', '3', 'e', 'f'],
       ['4', '5', '6', 'a', 'b'],
       ['4', '5', '6', 'c', 'd'],
       ['4', '5', '6', 'e', 'f']], dtype='<U11')

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您也可以从itertools使用product：

from itertools import product

np.r_[[np.r_[i] for i in product(A, B)]]
array([['1', '2', '3', 'a', 'b'],
       ['1', '2', '3', 'c', 'd'],
       ['1', '2', '3', 'e', 'f'],
       ['4', '5', '6', 'a', 'b'],
       ['4', '5', '6', 'c', 'd'],
       ['4', '5', '6', 'e', 'f']], dtype='<U11')

型
您的数据：

A = np.array([[1, 2, 3], [4, 5, 6]])
B = np.array([['a', 'b'], ['c', 'd'], ['e', 'f']])

型