Python numpy boolean array not whole columns and rows

Question

I want to apply the NOT operation on whole columns/rows of a boolean Numpy array. Is this possible with Numpy?

matrix = np.array([[False for i in range(3)] for j in range(2)])
# Initial
# [False, False, False]
# [False, False, False]

matrix[:,1].not() # Something like this
# After not operation on column 1
# [False, True, False]
# [False, True, False]

Google led me to https://stackoverflow.com/questions/13728708/inverting-a-numpy-boolean-array-using — , Aug 19 '20 at 15:07

score 1 · Accepted Answer · answered Aug 19 '20 at 15:10

1

This should do the trick, see here

matrix[:, 1] = np.logical_not(matrix[:, 1])

answered Aug 19 '20 at 15:10

cmplx96

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Python numpy boolean array not whole columns and rows

1 Answers1