numpy.true_divide() in Python

(arr1, arr22, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc 'true_divide') : Array element from first array is divided by the elements from second array(all happens element-wise). Both arr1 and arr2 must have same shape. Returns true division element-wise. Python traditionally follow 'floor division'. Regardless of input type, true division adjusts answer to its best. "//" is floor division operator. "/" is true division operator. Parameters :

arr1 : [array_like]Input array or object which works as numerator.
arr2 : [array_like]Input array or object which works as denominator. 
out : [ndarray, None, 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 :

If inputs are scalar then scalar; otherwise array with arr1 / arr2(element- wise) 
i.e. true division

  Code 1 : arr1 divided by arr2 Output :

arr1 : [6, 7, 2, 9, 1]
arr1 : [2, 3, 4, 5, 6]

Output array : 
 [ 3. 2.33333333 0.5 1.8 0.16666667]

  Code 2 : elements of arr1 divided by divisor Output :

arr1 : [2, 7, 3, 11, 4]

Output array : [ 0.66666667 2.33333333 1. 3.66666667 1.33333333]

  Code 3 : Comparison between floor_division(//) and true-division(/)

Output :

arr1 : [0 1 2 3 4]
arr1 : [2, 3, 4, 5, 6]

Output array with floor divide : 
 [0 0 0 0 0]

Output array with true divide : 
 [ 0. 0.33333333 0.5 0.6 0.66666667]

Output array with floor divide(//) : 
 [0 0 0 0 0]

Output array with true divide(/) : 
 [ 0. 0.33333333 0.5 0.6 0.66666667]

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