  # numpy.divide () in Python

Counters | NumPy | Python Methods and Functions

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: Divide arr1 into arr2 elements

 ` # Python program explaining ` ` Function # divide () ` ` 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 ` ` (` ` "Output array:" ` `, out) `

Output:

` arr1: [2, 27, 2 , 21, 23] ar r2: [2, 3, 4, 5, 6] Output array: [1. 9. 0.5 4.2 3.83333333] `

Code 2: arr1 elements separated 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

 ` # Python program explaining ` ` Function # divide () ` ` 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 ` ` (` ` "Output array:" ` `, out) `
 ` # Python program explaining ` ` Function # divide ( ) ` ` 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 ` ` (` ` "Output 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) `