1.生成n*m的零矩阵

def creat_array_0(n, m):
    # 生成一个n*m的零矩阵
    matrixA = [None] * n
    for i in range(n):
        matrixA[i] = [0] * m
    matrixB = np.array(matrixA)
    return matrixB

2.获取用户输入，然后通过遍历来更改内容

import numpy as np

def creat_array():
    try:
        n, m = map(int, input("请输入矩阵的行数与列数，中间用空格分隔：").split())
        data = input('请一行一行地输入矩阵内容,元素之间用空格分隔：').split()
        matrixA = [None] * n
        for i in range(n):
            matrixA[i] = [0] * m
        for i in range(n):
            for j in range(m):
                num = data[i*m+j]
                matrixA[i][j] = num
        matrixB = np.array(matrixA)
        return matrixB
    except:
        print("间隔请用空格")

3.生成n*m零矩阵也可以通过numpy的zeros函数来实现

import numpy as np

def creat_array_0(n, m):
    # 生成一个n*m的零矩阵
    matrixA = np.zeros((n,m))
    return matrixA

4.所以第2段代码可以更改为

def creat_array():
    try:
        n, m = map(int, input("请输入矩阵的行数与列数，中间用空格分隔：").split())
        data = input('请一行一行地输入矩阵内容,元素之间用空格分隔：').split()
        matrixA = np.zeros((n,m))
        for i in range(n):
            for j in range(m):
                num = data[i*m+j]
                matrixA[i][j] = num
        matrixB = np.array(matrixA)
        return matrixB
    except:
        print("间隔请用空格")