Related Articles
numpy.divide() in Python
• Last Updated : 29 Nov, 2018

numpy.divide(arr1, arr2, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None) :
Array element from first array is divided by elements from second element (all happens element-wise). Both arr1 and arr2 must have same shape and element in arr2 must not be zero; otherwise it will raise an error.

Parameters :

arr1 : [array_like]Input array or object which works as dividend.
arr2 : [array_like]Input array or object which works as divisor.
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 arr1/arr2(element-wise) as elements of output array.
```

Code 1 : arr1 divide by arr2 elements

 `# Python program explaining``# divide() function``import` `numpy as np`` ` `# input_array``arr1 ``=` `[``2``, ``27``, ``2``, ``21``, ``23``]``arr2 ``=` `[``2``, ``3``, ``4``, ``5``, ``6``]``print` `(``"arr1         : "``, arr1)``print` `(``"arr2         : "``, arr2)`` ` `# output_array``out ``=` `np.divide(arr1, arr2)``print` `(``"\nOutput array : \n"``, out)`

Output :

```arr1         :  [2, 27, 2, 21, 23]
arr2         :  [2, 3, 4, 5, 6]

Output array :
[ 1.          9.          0.5         4.2         3.83333333]
```

Code 2 : elements of arr1 divided by divisor

 `# Python program explaining``# divide() function``import` `numpy as np`` ` `# input_array``arr1 ``=` `[``2``, ``27``, ``2``, ``21``, ``23``]``divisor ``=` `3``print` `(``"arr1         : "``, arr1)`` ` `# output_array``out ``=` `np.divide(arr1, divisor)``print` `(``"\nOutput array : \n"``, out)`

Output :

```arr1         :  [2, 27, 2, 21, 23]

Output array :
[ 0.66666667  9.          0.66666667  7.          7.66666667]```

Code 3 : warning if arr2 has element = 0

 `# Python program explaining``# divide() function``import` `numpy as np`` ` `# input_array``arr1 ``=` `[``2``, ``27``, ``2``, ``21``, ``23``]``arr2 ``=` `[``2``, ``3``, ``0``, ``5``, ``6``]``print` `(``"arr1         : "``, arr1)``print` `(``"arr2         : "``, arr2)`` ` `# output_array``out ``=` `np.divide(arr1, arr2)``print` `(``"\nOutput array : "``, out)`

Output :

```arr1         :  [2, 27, 2, 21, 23]
arr2         :  [2, 3, 0, 5, 6]

Output array :  [ 1.          9.                 inf  4.2         3.83333333]
RuntimeWarning: divide by zero encountered in true_divide
out = np.power(arr1, arr2)
```

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up