# Find the number of rows and columns of a given matrix using NumPy

In the NumPy with the help of shape() function, we can find the number of rows and columns. In this function, we pass a matrix and it will return row and column number of the matrix.

Syntax:

`shape()`

Return: The number of rows and columns.

Example:

 `import` `numpy as np ` ` `  ` `  `matrix``=` `np.arange(``1``,``9``).reshape((``3``, ``3``)) ` ` `  `# Original matrix ` `print``(matrix) ` ` `  `# Number of rows and columns of the said matrix ` `print``(matrix.shape) `

Output:

```[[1 2 3]
[4 5 6]
[7 8 9]]
(3,3)
```

Example :

 `import` `numpy as np ` ` `  ` `  `matrix``=` `np.arange(``10``,``15``).reshape((``3``, ``2``)) ` ` `  `# Original matrix: ` `print``(matrix) ` ` `  `# Number of rows and columns of the said matrix ` `print``(matrix.shape)`

Output

```[[10 11]
[12 13]
[14 15]]
(3,2)
```

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