numpy: np.logical_and/or/not (逻辑与/或/非)

np.logical_and (逻辑与)

Syntax

np.logical_and(x1, x2, *args, **kwargs)

Test

>>> np.logical_and(True, False)
False
>>> np.logical_and([True, False], [False, False])
array([False, False], dtype=bool)

>>> x = np.arange(5)
>>> np.logical_and(x>1, x<4)
array([False, False,  True,  True, False], dtype=bool)

np.logical_or (逻辑或)

Syntax

np.logical_or(x1, x2, *args, **kwargs)

Test

>>> np.logical_or(True, False)
True
>>> np.logical_or([True, False], [False, False])
array([ True, False], dtype=bool)

>>> x = np.arange(5)
>>> np.logical_or(x < 1, x > 3)
array([ True, False, False, False,  True], dtype=bool)

np.logical_not (逻辑非)

Syntax

logical_not(x, *args, **kwargs)

Test

>>> np.logical_not(3)
False
>>> np.logical_not([True, False, 0, 1])
array([False,  True,  True, False], dtype=bool)

>>> x = np.arange(5)
>>> np.logical_not(x<3)
array([False, False, False,  True,  True], dtype=bool
4000
)