numpy.floor_divide() in Python (original) (raw)

Last Updated : 27 Aug, 2022

numpy.floor_divide(arr1, arr2, /, out = None, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None) : 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. It is equivalent to the Python // operator and pairs with the Python % (remainder), function so that b = a % b + b * (a // b) up to roundoff. 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 :

An array with floor(x1 / x2)

Code 1 : arr1 divided by arr2

Python

import numpy as np

arr1 = [ 2 , 2 , 2 , 2 , 2 ]

arr2 = [ 2 , 3 , 4 , 5 , 6 ]

print ( "arr1 : " , arr1)

print ( "arr1 : " , arr2)

out = np.floor_divide(arr1, arr2)

print ( "\nOutput array : " , out)

Output :

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

Output array : [1 0 0 0 0]

Code 2 : elements of arr1 divided by divisor

Python

import numpy as np

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

divisor = 3

print ( "arr1 : " , arr1)

out = np.floor_divide(arr1, divisor)

print ( "\nOutput array : " , out)

Output :

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

Output array : [0 2 1 3 1]

Code 3 : floor_divide handling results if arr2 has -ve elements

Python

import numpy as np

arr1 = [ 2 , 6 , 21 , 21 , 12 ]

arr2 = [ 2 , 3 , 4 , - 3 , 6 ]

print ( "arr1 : " , arr1)

print ( "arr2 : " , arr2)

out = np.floor_divide(arr1, arr2)

print ( "\nOutput array : " , out)

Output :

arr1 : [2, 6, 21, 21, 12] arr2 : [2, 3, 4, -3, 6]

Output array : [ 1 2 5 -7 2]

Time Complexity: O(1)

Auxiliary Space: O(1)

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