# sciPy stats.nanmedian() function | Python

• Last Updated : 11 Feb, 2019

`scipy.stats.nanmedian(array, axis=0)` function calculates the median by ignoring the Nan (not a number) values of the array elements along the specified axis of the array.

Parameters :
array : Input array or object having the elements, including Nan values, to calculate the median.
axis : Axis along which the median is to be computed. By default axis = 0

Returns : median of the array elements (ignoring the Nan values) based on the set parameters.

Code #1:

 `# median ``import` `scipy``import` `numpy as np`` ` `arr1 ``=` `[``1``, ``3``, np.nan, ``27``, ``2``, ``5``] ``  ` `print``(``"median using nanmedian :"``, scipy.nanmedian(arr1))`` ` `print``(``"median without handling nan value :"``, scipy.median(arr1)) `

Output:

```median using nanmedian : 3.0
median without handling nan value : nan```

Code #2: With multi-dimensional data

 `# median ``from` `scipy ``import` `median``from` `scipy ``import` `nanmedian``import` `numpy as np`` ` `arr1 ``=` `[[``1``, ``3``, ``27``], ``        ``[``3``, np.nan, ``6``], ``        ``[np.nan, ``6``, ``3``], ``        ``[``3``, ``6``, np.nan]] ``  ` `print``(``"median is :"``, median(arr1)) ``print``(``"median handling nan :"``, nanmedian(arr1)) `` ` `# using axis = 0``print``(``"\nmedian is with default axis = 0 : \n"``, ``      ``median(arr1, axis ``=` `0``))``print``(``"\nmedian handling nan with default axis = 0 : \n"``, ``      ``nanmedian(arr1, axis ``=` `0``))`` ` `# using axis = 1``print``(``"\nmedian is with default axis = 1 : \n"``, ``      ``median(arr1, axis ``=` `1``))  ``print``(``"\nmedian handling nan with default axis = 1 : \n"``, ``      ``nanmedian(arr1, axis ``=` `1``))  `

Output:

```median is : nan
median handling nan : 3.0

median is with default axis = 0 :
[ nan  nan  nan]

median handling nan with default axis = 0 :
[ 3.  6.  6.]

median is with default axis = 1 :
[  3.  nan  nan  nan]

median handling nan with default axis = 1 :
[ 3.   4.5  4.5  4.5]```

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