numpy.divide() in Python

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

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

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

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)

References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.divide.html
.