# scipy stats.moment() function | Python

`scipy.stats.moment(array, axis=0)` function calculates the nth moment about the mean for a sample i.e. array elements along the specified axis of the array (list in python).

Its formula –

Parameters :
array : Input array or object having the elements to calculate the moment.
axis : Axis along which the moment is to be computed. By default axis = 0.
moment : Order of central moment that is returned.

Returns : n-th central moment of the array elements based on the set parameters.

Code #1:

 `# Moment ` `from` `scipy ``import` `stats ` `import` `numpy as np  ` ` `  `arr1 ``=` `np.array([[``1``, ``31``, ``27``, ``13``, ``21``, ``9``], ` `                ``[``8``, ``12``, ``8``, ``4``, ``7``, ``10``]])  ` `  `  ` `  `print``(``"Oth moment : \n"``, stats.moment(arr1, moment ``=` `0``))  `

Output :

```Oth moment :
[1. 1. 1. 1. 1. 1.]```

Code #2: With multi-dimensional data

 `# Moment  ` `from` `scipy ``import` `stats ` `import` `numpy as np  ` ` `  `arr1 ``=` `[[``1``, ``3``, ``27``],  ` `        ``[``3``, ``4``, ``6``],  ` `        ``[``7``, ``6``, ``3``],  ` `        ``[``3``, ``6``, ``8``]]   ` ` `  `print``(``"Oth moment : \n"``, stats.moment(arr1, moment ``=` `0``)) ` ` `  `print``(``"\n6th moment : \n"``, stats.moment(arr1, moment ``=` `6``)) ` ` `  `print``(``"\n9th moment : \n"``, stats.moment(arr1, moment ``=` `9``, axis ``=` `None``)) ` ` `  `print``(``"\n12th moment : \n"``, stats.moment(arr1, moment ``=` `12``, axis ``=` `1``)) ` ` `  `print``(``"\n10th moment : \n"``, stats.moment(arr1, moment ``=` `10``, axis ``=` `1``)) `

Output :

```Oth moment :
[1. 1. 1.]

6th moment :
[5.20609375e+02 9.13256836e+00 4.26392850e+06]

9th moment :
55265909588.26437

12th moment :
[1.53284936e+14 1.63654317e+02 8.83474172e+03 5.17842143e+04]

10th moment :
[5.53094361e+11 6.10464868e+01 1.64971407e+03 7.65588508e+03]```

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