# numpy.equal() in Python

numpy.equal(arr1, arr2, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘not_equal’) : This logical function checks for arr1 == arr2 elemen-twise.

Parameters :

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.

Return :

```Returns arr1 == arr2 element-wise
```

Code 1 :

 `# Python Program illustrating ` `# numpy.equal() method ` `import` `numpy as geek  ` `  `  `a  ``=` `geek.equal([``1.``, ``2.``], [``1.``, ``3.``]) ` `print``(``"Check to be Equal : \n"``, a, ``"\n"``) ` `  `  `b ``=` `geek.equal([``1``, ``2``], [[``1``, ``3``],[``1``, ``4``]]) ` `print``(``"Check to be Equal : \n"``, b, ``"\n"``) `

Output :

```Check to be Equal :
[ True False]

Check to be Equal :
[[ True False]
[ True False]]
```

Code 2 : Comparing data-type using .equal() function

 `# Python Program illustrating ` `# numpy.equal() method ` `import` `numpy as geek  ` `  `  `# Here we will compare Complex values with int ` `a ``=` `geek.array([``0` `+` `1j``, ``2``]) ` `b ``=` `geek.array([``1``,``2``]) ` `  `  `d  ``=` `geek.equal(a, b) ` `print``(``"Comparing complex with int using .equal() : "``, d) `

Output :

`Comparing complex with int using .equal() :  [False  True]`

Code 3 :

 `# Python Program illustrating ` `# numpy.not_equal() method ` `import` `numpy as geek  ` `  `  `# Here we will compare Float with int values ` `a ``=` `geek.array([``1.1``, ``1``]) ` `b ``=` `geek.array([``1``, ``2``]) ` `   `  `d  ``=` `geek.not_equal(a, b) ` `print``(``"\nComparing float with int using .not_equal() : "``, d) `

Output :

`Comparing float with int using .not_equal() :  [ True  True]`

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