scipy stats.moment () function | python

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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:

       # 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  ))

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]

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# 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 ))