sciPy stats.nanmean() function | Python

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:

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]

sciPy stats.nanmean() function | Python

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