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Numpy size() function | Python
• Last Updated : 24 Nov, 2020

In Python, numpy.size() function count the number of elements along a given axis.

Synatx: numpy.size(arr, axis=None)
Parameters:
arr: [array_like] Input data.
axis: [int, optional] Axis(x,y,z) along which the elements(rows or columns) are counted. By default, give the total number of elements in a array
Returns: [int] Return the number of elements along a given axis.

Code #1 :

## Python3

 `# Python program explaining``# numpy.size() method` `# importing numpy``import` `numpy as np` `# Making a random array``arr ``=` `np.array([[``1``, ``2``, ``3``, ``4``], [``5``, ``6``, ``7``, ``8``]])` `# By default, give the total number of elements.``print``(np.size(arr))`
Output:
```8

```

Code #2 :

## Python3

 `# Python program explaining``# numpy.size() method` `# importing numpy``import` `numpy as np` `# Making a random array``arr ``=` `np.array([[``1``, ``2``, ``3``, ``4``], [``5``, ``6``, ``7``, ``8``]])` `# count the number of elements along the axis.``# Here rows and colums are being treated``# as elements` `#gives no. of rows along x-axis``print``(np.size(arr, ``0``))` `#gives no. of columns along y-axis``print``(np.size(arr, ``1``))`
Output:
```2
4

```

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