I have a matrix :
matrix = np.array([[[0,0.5,0.6],[0.9,1.2,0]],[[0,0.5,0.6],[0.9,1.2,0]]])
I want to replace all the values 0.55 < x < 0.95 by 0.55.
PS : My question is similar to this question. But the answer does not work in my case.
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1 Answer
You can use np.where:
matrix = np.array([[[0,0.5,0.6],[0.9,1.2,0]],[[0,0.5,0.6],[0.9,1.2,0]]])
matrix[np.where((matrix > 0.55) & (matrix < 0.95))] = 0.55
# Or
# matrix[(matrix > 0.55) & (matrix < 0.95)] = 0.55
Output:
>>> matrix
array([[[0. , 0.5 , 0.55],
[0.55, 1.2 , 0. ]],
[[0. , 0.5 , 0.55],
[0.55, 1.2 , 0. ]]])
