Python中的 numpy.logical_and()

numpy.logical_and(arr1, arr2, out=None, where = True, cast = 'same_kind', order = 'K', dtype = None, ufunc 'logical_and') ：这是一个逻辑函数，它可以帮助用户找出arr1 AND 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.

返回 ：

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

代码 1：工作

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

输出 ：

Output Array :  [ True False False False]

代码 2：如果输入数组的形状不同，则值错误

# Python program explaining
# logical_and() function
import numpy as np
  
# input
arr1 = [8, 2, False, 4]
arr2 = [3, 0, True, False, 8]
  
# output
out_arr = np.logical_and(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_and.html#numpy.logical_and
.