Numpy MaskedArray.maximum_fill_value() function | Python
numpy.MaskedArray.maximum_fill_value()
function is used to return the minimum value that can be represented by the dtype of an object.
Syntax : numpy.ma.maximum_fill_value(obj)
Parameters:
obj :[ ndarray, dtype or scalar ] The array data-type or scalar for which the minimum fill value is returned.
Return : [ scalar ] The minimum fill value.
Code #1 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([ 1 , 3 , 5 , - 3 ], dtype = 'float' )
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [ 1 , 0 , 0 , 0 ])
print ( "Masked array : " , mask_arr)
out_val = ma.maximum_fill_value(mask_arr)
print ( "Minimum filled value : " , out_val)
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Output:
Input array : [ 1. 3. 5. -3.]
Masked array : [-- 3.0 5.0 -3.0]
Minimum filled value : -inf
Code #2 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([[ 1 , 2 ], [ 3 , - 1 ], [ 5 , - 3 ]])
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [[ 1 , 0 ], [ 1 , 0 ], [ 0 , 0 ]])
print ( "Masked array : " , mask_arr)
out_val = ma.maximum_fill_value(mask_arr)
print ( "Minimum filled value : " , out_val)
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Output:
Input array : [[ 1 2]
[ 3 -1]
[ 5 -3]]
Masked array : [[-- 2]
[-- -1]
[5 -3]]
Minimum filled value : -2147483648
Last Updated :
29 Oct, 2019
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