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# Python – Pairwise distances of n-dimensional space array

• Last Updated : 10 Jan, 2020

scipy.stats.pdist(array, axis=0) function calculates the Pairwise distances between observations in n-dimensional space.

Parameters :
array: Input array or object having the elements to calculate the Pairwise distances
axis: Axis along which to be computed. By default axis = 0

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Returns : Pairwise distances of the array elements based on the set parameters.

Code #1 : 2D Array

 `from` `scipy.spatial.distance ``import` `pdist`` ` `arr1 ``=` `pdist([[``1``, ``3``, ``27``], ``             ``[``3``, ``6``, ``8``]]) `` ` `print``(``"Arithmetic Mean is :"``, arr1) `

Output:

```Value of pdist is : [19.33907961]
```

Code #2 : 3D Array

 `from` `scipy.spatial.distance ``import` `pdist``  ` `arr1 ``=` `[[``1``, ``3``, ``27``],  ``        ``[``3``, ``4``, ``6``],  ``        ``[``7``, ``6``, ``3``],  ``        ``[``3``, ``6``, ``8``]]  ``    ` `print``(``"Arithmetic Mean is :"``, pdist(arr1))  `

Output:

```Value of pdist is : [21.11871208 24.91987159 19.33907961
5.38516481  2.82842712  6.40312424]
```

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