Reduce boolean values in python ndarray using AND

Question

I have a python array of this shape [3, 1000, 3] with boolean values inside. The first 3 is the batch size and the values of a batch are like these

[[False, False, False]\n
 [False, True, True]\n
 [False, False, True]\n
 [True, True, True]\n
 ...
]
size (1000, 3)

I want to apply the and function to each triplet to end up with this new array

[[False]\n
 [False]\n
 [False]\n
 [True]\n
 ...
]
size (3, 1000)

Looking at numpy I didn't find something useful. I've also tried to import operator and apply reduce(operator.and_, array) but it doesn't work.

Any idea to solve this?

RunOrVeith · Accepted Answer · 2018-10-25 08:59:26Z

2

You can easily do this using np.all. This will check if all values along the last dimension are True:

y = np.all(arr, axis=-1)
y.shape # (3, 1000)

answered Oct 25, 2018 at 8:59

RunOrVeith

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