  # numpy.hypot () in Python

NumPy | Python Methods and Functions

Parameters :

`  arr1, arr2:   [array_like]  Legs (side and perpendicular) of triangle  out:   [ndarray, optional]  Output array with result. `

Return:

` An array having hypotenuse of the right triangle. `

Code # 1: Work

 ` # Python3 program explaining ` ` # hypot () function `   ` import ` ` numpy as np ` ` `  ` leg1 ` ` = ` ` [` ` 12 , 3 , 4 , 6 ] `` print ( "leg1 array:" , leg1)      leg2 = [ 5 , 4 , 3 , 8 ] print ( " leg2 array: " , leg2)    result = np.hypot (leg1, leg2) print ( "Hypotenuse is as follows:" ) print (result) `

Output:

` leg1 array: [12 , 3, 4, 6] leg2 array: [5, 4, 3, 8] Hypotenuse is as follows: [13. 5. 5. 10.] `

Code # 2: Working with a 2D Array

 ` # Python3 program explaining ` ` function # hypot () `   ` import ` ` numpy as np `   ` leg1 ` ` = ` ` np.random.rand (` ` 3 ` `, ` ` 4 ` `) ` ` print ` ` (` `" leg1 array: "` `, leg1) `   ` leg2 ` ` = ` ` np.ones ((` ` 3 ` `, ` ` 4 ` `)) ` ` print ` ` (` ` "leg2 array:" ` `, leg2) `   ` result ` ` = ` ` np.hypot (leg1, leg2) ` ` print ` ` ( "Hypotenuse is as follows:" ) `` print (result) `

Output:

` leg1 array: [[0.57520509 0.12043366 0.50011671 0.13800957] [0.0528084 0.17827692 0.44236813 0.87758732] [0.94926413 0.47816742 0.46111934 0.63728903]] leg2 array: [[1. 1. 1. 1.] [1. 1. 1. 1.] [1. 1. 1. 1.]] Hypotenuse is as follows: [[1.15362944 1.00722603 1.11808619 1.0094784] [1.00139339 1.01576703 1.09347591 1.33047342] [1.37880469 1.10844219 1.10119528 1.18580661]] `

3: Equivalent to sqrt (x1 ** 2 + x2 ** 2), element by element.

 ` # Python3 explainer program ` ` # hypot () function `   ` import ` ` numpy as np `   ` leg1 ` ` = ` ` np.random.rand (` ` 3 ` `, ` ` 4 ` `) ` ` print ` ` (` ` "leg 1 array: "` `, leg1) ` ` `  ` leg2 ` ` = ` ` np.ones ((` ` 3 ` `, ` ` 4 ` `)) ` ` print ` ` (` ` "leg2 array:" ` `, leg2) `   ` result = np.sqrt ((leg1 * leg1) + (leg2 * leg2)) `` print ( "Hypotenuse is as follows:" ) print (result) `

Output:

` leg1 array: [[0.7015073 0.89047987 0.1595603 0.27557254] [0.67249153 0.16430312 0.70137114 0.48763522] [0.68067777 0.52154819 0.04339669 0.2239366] leg [1. 1. 1. 1.] [1. 1. 1. 1.] [1. 1. 1. 1.]] Hypotenuse is as follows: [[1.15362944 1.00722603 1.11808619 1.0094784] [1.00139339 1.01576703 1.09347591 1.33047342] [ 1.37880469 1.10844219 1.10119528 1.18580661]] `