sciPy stats.mean() function | Python (original) (raw)

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:

Python3 `

Arithmetic Mean

import scipy

arr1 = scipy.mean([1, 3, 27])

print("Arithmetic Mean is :", arr1)

`

Output:

Arithmetic Mean is : 10.3333333333

Code #2: With multi-dimensional data

Python3 `

Arithmetic Mean

from scipy import mean

arr1 = [[1, 3, 27], [3, 4, 6], [7, 6, 3], [3, 6, 8]]

print("Arithmetic Mean is :", mean(arr1))

using axis = 0

print("\nArithmetic Mean is with default axis = 0 : \n", mean(arr1, axis = 0))

using axis = 1

print("\nArithmetic Mean is with default axis = 1 : \n", mean(arr1, axis = 1))

`

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]