Numpy MaskedArray.minimum_fill_value () Function | python



numpy.MaskedArray.minimum_fill_value() is used to return the maximum value that the dtype of an object can represent.

Syntax: numpy.ma.minimum_fill_value(obj)

Parameters:
obj: [ndarray, dtype or scalar] The array data-type or scalar for which the maximum fill value is returned.

Return: [scalar] The maximum fill value.

Code # 1:

# Python program explaining
# numpy.MaskedArray.minimum_fill_value () method

 
# import numy as geek
# and numpy.ma module as ma

import < / code> numpy as geek 

import numpy.ma as ma 

 
# create input array

in_arr = geek.array ([ 1 3 5 , - 3 ], dtype = `float` )

print ( "Input array: " , in_arr) 

  
# We are now creating a masked array.
< code class = "comments"> # invalidating the post.

mask_arr = ma.masked_array (in_arr, mask = [ 1 , 0 , 0 , 0 ]) 

print ( "Masked array:" , mask_arr) 

 
# apply MaskedArray. minimum_fill_value
# masked array methods

out_val = ma.minimum_fill_value (mask_arr) 

print < code class = "plain"> ( "Maximum filled value:" , out_val) 

Output:

 Input array: [1. 3. 5. -3 .] Masked array: [- 3.0 5.0 -3.0] Maximum filled value: inf 

Code # 2:

# Python program explaining
# numpy.MaskedArray.minimum_fill_value () method

 
# importing numy as a geek
# and the numpy module. ma as ma

import numpy as geek 

import numpy.ma as ma 

 
# create input array

in_arr = geek.array ( [[ 1 , 2 ], [ 3 , - 1 ], [ 5 , - 3 ]], dtype = ` int` )

print ( "Input array:" , in_arr) 

 
# Now we create a masked array.
# invalidating the post.

mask_arr = ma.masked_array (in_arr, mask = [[ 1 , 0 ], [ 1 , 0 ], [ 0 , 0 ]]) 

print ( "Masked array:" , mask_arr) 

 
# apply MaskedArray.minimum_fill_value
# masked array methods

out_val = ma. minimum_fill_value (mask_arr) 

print ( "Maximum filled value:" , out_val) 

Output:

 Input array: [[1 2] [3 -1] [5 -3]] Masked array: [[- 2] [- -1] [5 -3]] Maximum filled value: 2147483647