# scipy stats.moment () function | python

NumPy | Python Methods and Functions

Its formula is —

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:

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` # 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:" , stats.moment (arr1, moment = 0 ))  `

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Output:

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

Code # 2: with multidimensional data

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] `

## Books for developers

 ` # 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:" ` `, stats.moment (arr1, moment ` ` = ` ` 0 ` `)) `   ` print ` ` (` ` "6th moment:" ` `, stats.momen t (arr1, moment ` ` = ` ` 6 ` `)) `   ` print ` ` (` ` "9th moment:" ` `, stats.moment (arr1, moment ` ` = ` ` 9 ` `, axis ` ` = ` ` None ` `)) `   ` print ` ` (` ` "12th moment:" ` `, stats. moment (arr1, moment ` ` = ` ` 12 ` `, axis ` ` = ` ` 1 ` `)) `   ` print ( "10th moment:" , stats.moment (arr1, moment = 10 , axis = 1 )) `