numpy.hypot() in Python

by Online Tutorials Library July 14, 2022

Numpy hypot() method

This function is used to calculate the hypotenuse for the right angled triangle. The hypotenuse of the right angle is calculated as:

where b and p are the base and perpendicular of the right angled triangle.

Each value of h is copied into the output array.

Syntax

Parameters

array1: It is the input array of bases of the given right angled triangles.
array2: It is the input array of perpendiculars of the given right angled triangles.
Out: It is the shape of the output array.

Return

It returns an array containing the hypotenuse of the given right angled triangles.

Example 1

    import numpy as np    base = [10,2,5,50]  per= [3,10,23,6]    print(“Input base array:”,base)  print(“Input perpendicular array:”,per)    hyp = np.hypot(base,per)    print(“hypotenuse “,hyp)  

Output:

Input base array: [10, 2, 5, 50]  Input perpendicular array: [3, 10, 23, 6]  hypotenuse  [10.44030651 10.19803903 23.53720459 50.35871325]

Example 2

  import numpy as np    base = np.random.rand(3,4)  per= np.random.rand(3, 4)    print(“Input base array:”,base)  print(“Input perpendicular array:”,per)    hyp = np.hypot(base,per)    print(“hypotenuse “,hyp)  

Output:

Input base array: [[0.38040712 0.8629511  0.5018026  0.08201071]   [0.77464952 0.68392036 0.10326945 0.69031164]   [0.35380139 0.58803283 0.19791751 0.48756617]]    Input perpendicular array: [[0.50466085 0.38053395 0.96808322 0.69790711]   [0.77802303 0.5486305  0.34418331 0.69201998]   [0.28038631 0.35850426 0.90459831 0.13383838]]    hypotenuse  [[0.63197481 0.94312814 1.09040862 0.70270911]   [1.09790788 0.87677961 0.35934208 0.97745681]   [0.45143318 0.68870017 0.92599646 0.5056021 ]]

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