numpy.logical_and
逻辑与
语法
np.logical_and(x1, x2, *args, **kwargs)
例子
>>> 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)
numpy.logical_or
逻辑或
语法
np.logical_or(x1, x2, *args, **kwargs)
例子
>>> 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)
numpy.logical_not
逻辑非
语法
logical_not(x, *args, **kwargs)
例子
>>> 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)
感谢：
https://blog.csdn.net/JNingWei/article/details/78651535