1. 使用嵌套列表:
```python
rows = 3
cols = 3
arr = []
for i in range(rows):
row = []
for j in range(cols):
element = int(input("请输入第{}行第{}列的元素:".format(i+1, j+1)))
row.append(element)
arr.append(row)
for row in arr:
print(row)
2. 使用列表推导式:
```python
rows = 3
cols = 3
arr = [[i for i in range(1, cols+1)] for j in range(rows)]
print(arr)
3. 使用NumPy库创建:
```python
import numpy as np
rows = 3
cols = 3
arr = np.array([[i for i in range(1, cols+1)] for j in range(rows)])
print(arr)
4. 使用循环逐个添加元素:
```python
rows = 3
cols = 3
arr = []
for i in range(rows):
row = []
for j in range(cols):
element = i * cols + j + 1
row.append(element)
arr.append(row)
for row in arr:
print(row)
5. 使用列表乘法创建:
```python
rows = 3
cols = 3
arr = [ * cols for _ in range(rows)]
print(arr)
6. 使用列表复制创建:
```python
rows = 3
cols = 3
arr = [[0, 0, 0]] * rows
print(arr)
选择哪种方法取决于你的具体需求,例如是否需要科学计算、是否需要高效操作等。NumPy库提供了更高级的数组操作和数学函数,适合进行大规模的科学计算和数据处理