Python中的 numpy.logical_or()

numpy.logical_or(arr1, arr2, out=None, where = True, cast = 'same_kind', order = 'K', dtype = None, ufunc 'logical_or') ：这是一个逻辑函数，它可以帮助用户找出arr1 OR arr2 元素的真值。两个阵列必须具有相同的形状。

参数：

arr1 : [array_like]Input array.
arr2 : [array_like]Input array.

out : [ndarray, optional]Output array with same dimensions as Input array, placed with result.

**kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.

where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

编程需要懂一点英语

返回：

An array with Boolean results of arr1 OR arr2 element-wise(of the same shape).

代码 1：工作

# Python program explaining
# logical_or() function
import numpy as np
  
# input
arr1 = [1, 3, False, 4]
arr2 = [3, 0, True, False]
  
# output
out_arr = np.logical_or(arr1, arr2)
  
print ("Output Array : ", out_arr)

输出：

Output Array :  [ True  True  True  True]

代码 2：如果输入数组的形状不同，则值错误

# Python program explaining
# logical_or() function
import numpy as np
  
# input
arr1 = [8, 2, False, 4]
arr2 = [3, 0, False, False, 8]
  
# output
out_arr = np.logical_or(arr1, arr2)
  
print ("Output Array : ", out_arr)

输出：

ValueError: operands could not be broadcast together with shapes (4,) (5,)

参考：
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.logical_or.html#numpy.logical_or
.