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This question might be pretty simple to answer, but I had problems finding obvious answer in the numpy documentation.

What is the dtype to select when initializing a binary numpy array as follows:

array = np.zeros(8, dtype=np.int)
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    Can you explain how this is not "binary enough" for you? Commented Nov 26, 2018 at 14:33
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    Were you looking for .packbits ? docs.scipy.org/doc/numpy-1.15.0/reference/generated/… Commented Nov 26, 2018 at 14:34
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    @mkrieger1 I assume that the integer declaration takes more memory or am I wrong with that? Commented Nov 26, 2018 at 14:36
  • More memory compared to what? Commented Nov 26, 2018 at 14:43
  • @mkrieger1: I just checked and sys.getsizeof(array) returns 128 bytes for dtype=np.int vs. 104 for dtype=np.bool or np.dtype('b'). Commented Nov 26, 2018 at 14:50

1 Answer 1

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8

You can use np.bool:

array = np.zeros(8, dtype=np.bool)

output:

array([False, False, False, False, False, False, False, False])
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1 Comment

np.bool is deprecated, use array = np.zeros(8, dtype=bool)

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