# numpy.array_equal() in Python

numpy.array_equal(arr1, arr2) : This logical function that checks if two arrays have the same shape and elements.

Parameters :

```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.
```

Return :

```True, if both arrays have same shape and value; otherwise False
```

Code : Explaining Working

 `# 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)) `

Output :

```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
```

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