numpy.ma.where() function - Python
Last Updated : 05 May, 2020
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numpy.ma.where() function return a masked array with elements from x or y, depending on condition.Syntax : numpy.ma.where(condition, x, y) Parameter : condition : [array_like, bool] Where True, yield x, otherwise yield y. x, y : [array_like, optional] Values from which to choose. x, y and condition need to be broadcastable to some shape. Return : [MaskedArray] An masked array with masked elements where the condition is masked, elements from x where condition is True, and elements from y elsewhere.Code #1 :
# Python program explaining
# numpy.ma.where() function
# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
x = geek.ma.array(geek.arange(4.).reshape(2, 2),
mask =[[0, 1], [1, 0]])
gfg = geek.ma.where(x > 5, x, -3.1416)
print (gfg)
[[-3.1416 --] [-- -3.1416]]Code #2 :
# Python program explaining
# numpy.ma.where() function
# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
x = geek.ma.array(geek.arange(9.).reshape(3, 3),
mask =[[0, 1, 0], [1, 0, 1], [0, 1, 0]])
gfg = geek.ma.where(x > 5, x, -3.1416)
print (gfg)
[[-3.1416 -- -3.1416] [-- -3.1416 --] [6.0 -- 8.0]]
