 # numpy.floor_divide () in Python

An array element from the first array is divided into elements from the second array (everything happens element by element). Both arr1 and arr2 must have the same shape.
It is equivalent to the operator Python // and performs the function of Python % (remainder), so b = a% b + b * (a // b) before rounding.

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 divides by arr2

 ` # Python program explaining ` ` # floor_divide () function ` ` import ` ` numpy as np `   ` # input_array ` ` arr1 = [ 2 , 2 , 2 , 2 , 2 ] ```` arr2 = [ 2 , 3 , 4 , 5 , 6 ] print ( "arr1 :" , arr1) print ( "arr1 :" , arr2)   # output_array out = np.floor_divide (arr1, arr2) print ( "Output array:" , out) ```

Output:

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

Code 2: arr1 elements separated by divisor

 ` # Python program explaining ` ` # floor_divide () function ` ` import ` ` numpy as np `   ` # input_array ` ` arr1 ` ` = [ 2 , 7 , 3 , 11 , 4 ] ```` divisor = 3 print ( "arr1 :" , arr1)   # output_array out = np.floor_divide (arr1, divisor ) print ( "Output array: " , out) ```

Output:

` arr1: [2, 7, 3, 11, 4] Output array: [0 2 1 3 1] `

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

 ` # Programs and Python explaining ` ` # floor_divide () function ` ` import ` ` numpy as np `   ` # input_array ` ` arr1 ` ` = ` ` [` ` 2 ` `, ` ` 6 ` `, ` ` 21 ` `, ` ` 21 ` `, ` ` 12 ` `] ` ` arr2 ` ` = ` ` [` ` 2 ` `, ` ` 3 ` `, ` ` 4 ` `, ` ` - ` ` 3 ` `, ` ` 6 ` `] ` ` print ` ` (` ` "arr1 :" ` `, arr1) ` ` print ` ` (` ` "arr2 :" ` `, arr2) `   ` # output_array ` ` out ` ` = ` ` np.floor_divide (arr1, arr2) ` ` print ` ` (` ` "Output array:" ` `, out) `

Output:

` arr1: [2, 6, 21, 21, 12] arr2: [2, 3, 4, -3, 6] Output array: [1 2 5 -7 2] `