sciPy stats.mean() function | Python
Last Updated :
10 Feb, 2019
scipy.stats.mean(array, axis=0)
function calculates the arithmetic mean of the array elements along the specified axis of the array (list in python).
It’s formula –
Parameters :
array: Input array or object having the elements to calculate the arithmetic mean.
axis: Axis along which the mean is to be computed. By default axis = 0
Returns : Arithmetic mean of the array elements based on the set parameters.
Code #1:
import scipy
arr1 = scipy.mean([ 1 , 3 , 27 ])
print ( "Arithmetic Mean is :" , arr1)
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Output:
Arithmetic Mean is : 10.3333333333
Code #2: With multi-dimensional data
from scipy import mean
arr1 = [[ 1 , 3 , 27 ],
[ 3 , 4 , 6 ],
[ 7 , 6 , 3 ],
[ 3 , 6 , 8 ]]
print ( "Arithmetic Mean is :" , mean(arr1))
print ( "\nArithmetic Mean is with default axis = 0 : \n" ,
mean(arr1, axis = 0 ))
print ( "\nArithmetic Mean is with default axis = 1 : \n" ,
mean(arr1, axis = 1 ))
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Output:
Arithmetic Mean is : 6.41666666667
Arithmetic Mean is with default axis = 0 :
[ 3.5 4.75 11. ]
Arithmetic Mean is with default axis = 1 :
[ 10.33333333 4.33333333 5.33333333 5.66666667]
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