numpy.array_equal(arr1，arr2)：此逻辑函数检查两个数组是否具有相同的形状和元素。
参数：
arr1 : [array_like]Input array or object whose elements, we need to test. arr2 : [array_like]Input array or object whose elements, we need to test.
返回：
True, if both arrays have same shape and value; otherwise False
代码：解释工作
# Python program explaining
# array_equal() function
import numpy as np
# input
arr1 = np.arange(4)
arr2 = [7, 4, 6, 7]
print ("arr1 : ", arr1)
print ("arr2 : ", arr2)
print ("\nResult : ", np.array_equal(arr1, arr2))
arr1 = np.arange(4)
arr2 = np.arange(4)
print ("\n\narr1 : ", arr1)
print ("arr2 : ", arr2)
print ("\nResult : ", np.array_equal(arr1, arr2))
arr1 = np.arange(4)
arr2 = np.arange(5)
print ("\n\narr1 : ", arr1)
print ("arr2 : ", arr2)
print ("\nResult : ", np.array_equal(arr1, arr2))输出：
arr1 : [0 1 2 3] arr2 : [7, 4, 6, 7] Result : False arr1 : [0 1 2 3] arr2 : [0 1 2 3] Result : True arr1 : [0 1 2 3] arr2 : [0 1 2 3 4] Result : False
参考文献：
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.array_equal.html
。
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注：本文由纯净天空筛选整理自Mohit Gupta_OMG 大神的英文原创作品 numpy.array_equal() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。