The logical_and() function is used to compute the truth value of x1 AND x2 element-wise. Syntax: numpy.logical_and(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'logical_and'> Version:1.15.0 Param...
numpy.logical_xor(x1, x2,args, kwargs)Compute the truth value of x1 XOR x2, element-wise. 1.2数组内容 numpy.isnan numpy.isnan(x,args, kwargs)Test element-wise for NaN and return result as a boolean array. 1.1真值测试 numpy.all ...
numpy.logical_not(x, *args, **kwargs)Compute the truth value of NOT x element-wise.numpy.logical_and(x1, x2, *args, **kwargs) Compute the truth value of x1 AND x2 element-wise.numpy.logical_or(x1, x2, *args, **kwargs)Compute the truth value of x1 OR x2 element-wise.numpy...
NumPy Logic functions: all(), any(), isfinite(), isinf(), isnan(), isnat(), isnegingf(), isposinf(), iscomplex(), iscomplexobj(), isfortran(), isreal(), isrealobj(), isscalar(), logical_and(), logical_or(), logical_not(), logical_xor(), allclose(), isclo
1NumPy 通用函数,也称为 ufunc(Universal Function),是一种能够对数组或矩阵的每个元素执行相同操作的函数。NumPy 提供了许多内置的通用函数,可以应用于各种数学和逻辑操作。以下是一些常用的 NumPy 通用函数: 数学函数: np.add(x1, x2, out=None, axis=None, dtype=None, **kwargs) ...
1)numpy.logical_not numpy.logical_not(x, *args, **kwargs) Compute the truth value of NOT x element-wise 2)numpy.logical_and numpy.logical_and(x1, x2, *args, **kwargs) Compute the truth value of x1 AND x2 element-wise.
Regular and hyperbolic trigonometric functions arccos, arccosh, arcsin, arcsinh, arctan, arctanh Inverse trigonometric functions logical_not Compute truth value of not x element-wise (equivalent to ~arr). 二元通用函数 add Add corresponding elements in arrays ...
np.logical_and()、 np.logical_not()、 np.logical_or() 、 np.logical_xor()四个函数。 使用方法例如: >>> a>b array([False, False, True, True], dtype=bool)>>> a>> np.logical_or(a>b, a>> a>bora<b Traceback (most recent call last): File"<stdin...
由于numpy是python中的一个库,所以逻辑运算不能直接使用python 中的and、or、not了 要换成logical_or、logical_and、logical_not a = np.array([True, False]) b = np.array([False, True]) res = np.logical_or(a, b) print('logical_or的结果', res) ...
logical_and(x1, x2, /[, out, where, …]) 逐元素计算x1和x2的真值。 logical_or(x1, x2, /[, out, where, casting, …]) 逐元素计算x1或x2的真值。 logical_not(x, /[, out, where, casting, …]) 不按x元素计算真值。 logical_xor(x1, x2, /[, out, where, …]) 逐元素计算x1...