sciPy function stats.nanmean () | python

This is the formula —

Parameters:
array: Input array or object having the elements, including Nan values, 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 (ignoring the Nan values) based on the set parameters.

Code # 1:

# Arithmetic mean

import scipy

import numpy as np

 

arr1 = [ 1 , 3 , np.nan, 27

 

print ( "Arithmetic Mean using nanmean: " , scipy.nanmean (arr1))

  

print ( "Arithmetic Mean without handling nan value:" , scipy.mean (arr1)) 

Output:

 Arithmetic Mean using nanmean: 10.333333333333334 Arithmetic Mean without handling nan value: nan 

Code # 2: with multidimensional data

# Arithmetic mean

from scipy import mean

from scipy import nanmean < / p>

import numpy as np

 

arr1 = [[ 1 , 3 , 27 ], 

[ 3 , np.nan, 6 ], 

[np .nan, 6 , 3 ], 

[ 3 , 6 , np.nan]] 

  

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

print ( "Arithmetic Mean handling nan:" , nanmean (arr1)) 

 
# using axis = 0

print ( "Arithmetic Mean is with default axis = 0:"

mean (arr1, axis = 0 ))

print ( " Arithmetic Mean handling nan with default axis = 0: "

nanmean (arr1, axis = 0 ))

  
# using axis = 1

print ( "Arithmetic Mean is with default axis = 1:"

mean (arr1, axis = 1 )) 

print ( "Arithmetic Mean handling nan with default axis = 1:"

  nanmean (arr1, axis = 1 )) 

Output:

 Arithmetic Mean is: nan Arithmetic Mean handling nan: 6.444444444444445 Arithmetic Mean is with default axis = 0: [nan nan nan] Arithmetic Mean handling nan with default axis = 0: [2.33333333 5. 12.] Arithmetic Mean is with default axis = 1: [10.33333333 nan nan nan] Arithmetic Mean handling nan with default axis = 1: [10.33333333 4.5 4.5 4.5]