Skip to content
Related Articles

Related Articles

sciPy stats.mean() function | Python
  • Difficulty Level : Basic
  • 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:






# 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




# 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]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :