# numpy.median() in Python

• Last Updated : 28 Nov, 2018

`numpy.median(arr, axis = None)` : Compute the median of the given data (array elements) along the specified axis.

How to calculate median?

• Given data points.
• Arrange them in ascending order
• Median = middle term if total no. of terms are odd.
• Median = Average of the terms in the middle (if total no. of terms are even)

Parameters :
arr : [array_like]input array.
axis : [int or tuples of int]axis along which we want to calculate the median. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column and axis = 1 means working along the row.
out : [ndarray, optional] Different array in which we want to place the result. The array must have the same dimensions as expected output.
dtype : [data-type, optional]Type we desire while computing median.

Results : Median of the array (a scalar value if axis is none) or array with median values along specified axis.

Code #1:

 `# Python Program illustrating ``# numpy.median() method ``   ` `import` `numpy as np``   ` `# 1D array ``arr ``=` `[``20``, ``2``, ``7``, ``1``, ``34``]`` ` `print``(``"arr : "``, arr) ``print``(``"median of arr : "``, np.median(arr))``  `

Output :

```arr :  [20, 2, 7, 1, 34]
median of arr :  7.0
```

Code #2:

 `# Python Program illustrating ``# numpy.median() method  ``import` `numpy as np``   ` `# 2D array ``arr ``=` `[[``14``, ``17``, ``12``, ``33``, ``44``],  ``       ``[``15``, ``6``, ``27``, ``8``, ``19``], ``       ``[``23``, ``2``, ``54``, ``1``, ``4``, ]] ``   ` `# median of the flattened array ``print``(``"\nmedian of arr, axis = None : "``, np.median(arr)) ``   ` `# median along the axis = 0 ``print``(``"\nmedian of arr, axis = 0 : "``, np.median(arr, axis ``=` `0``)) ``  ` `# median along the axis = 1 ``print``(``"\nmedian of arr, axis = 1 : "``, np.median(arr, axis ``=` `1``))`` ` `out_arr ``=` `np.arange(``3``)``print``(``"\nout_arr : "``, out_arr) ``print``(``"median of arr, axis = 1 : "``, ``      ``np.median(arr, axis ``=` `1``, out ``=` `out_arr))`

Output :

```median of arr, axis = None :  15.0

median of arr, axis = 0 :  [15.  6. 27.  8. 19.]

median of arr, axis = 1 :  [17. 15.  4.]

out_arr :  [0 1 2]
median of arr, axis = 1 :  [17 15  4]
```

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