python - numpy Boolean array representation of an integer -


what's easiest way produce numpy boolean array representation of integer? example, map 6 np.array([false, true, true], dtype=np.bool).

if n integer, expression (n & (1 << np.arange(int(floor(log(n, 2) + 1))))) > 0 create boolean array representing bits, least significant bit in first position.

for example,

in [224]: n = 5  in [225]: math import floor, log  in [226]: n = 5  in [227]: (n & (1 << np.arange(int(floor(log(n, 2) + 1))))) > 0 out[227]: array([ true, false,  true], dtype=bool)  in [228]: n = 8  in [229]: (n & (1 << np.arange(int(floor(log(n, 2) + 1))))) > 0 out[229]: array([false, false, false,  true], dtype=bool)  in [230]: n = 514  in [231]: (n & (1 << np.arange(int(floor(log(n, 2) + 1))))) > 0 out[231]: array([false,  true, false, false, false, false, false, false, false,  true], dtype=bool) 

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