sciPy function stats.nanmean () | python

# Arithmetic mean

import scipy

import numpy as np

arr1 = [ 1 , 3 , np.nan, 27 ] 

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

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

# Arithmetic mean

from scipy import mean

from scipy import nan mean < / 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:" , nan mean (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: " , 

nan mean (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:" , 

  nan mean (arr1, axis = 1 ))