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# numpy.logical_and() in Python

• Last Updated : 29 Nov, 2018

numpy.logical_and(arr1, arr2, out=None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘logical_and’) : This is a logical function and it helps user to find out the truth value of arr1 AND arr2 element-wise. Both the arrays must be of same shape.

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 :

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

Code 1 : Working

 `# 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)`

Output :

```Output Array :  [ True False False False]
```

Code 2 : Value Error if input array’s have different shapes

 `# 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)`

Output :

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

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