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numpy.arccosh() in Python

Last Updated : 29 Nov, 2018
numpy.arccosh() : This mathematical function helps user to calculate inverse hyperbolic cosine, element-wise for all arr. Syntax :
numpy.arccosh(arr, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc 'arccosh') Parameters : arr : array_like Input array. out : [ndarray, optional] A location into which the result is stored.   -> If provided, it must have a shape that the inputs broadcast to.   -> If not provided or None, a freshly-allocated array is returned. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs :Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function. Return : An array with inverse hyperbolic cosine of arr for all arr i.e. array elements. Note : 2pi Radians = 360 degrees The convention is to return the angle of arr whose imaginary part lies in [-pi, pi] and the real part in [0, inf].
  Code #1 : Working Output :
Input array : 
 [2, 1, 10, 100]

Inverse hyperbolic Cosine values : 
 [ 1.3169579 0. 2.99322285 5.29829237]
  Code #2 : Graphical representation
Output :
in_array : [ 1. 1.12597604 1.25195208 1.37792812 1.50390415 1.62988019
 1.75585623 1.88183227 2.00780831 2.13378435 2.25976038 2.38573642
 2.51171246 2.6376885 2.76366454 2.88964058 3.01561662 3.14159265]

out_array with cos : [ 0.54030231 0.43029566 0.31346927 0.19167471 0.0668423 -0.0590495
 -0.18400541 -0.30604504 -0.42323415 -0.53371544 -0.63573787 -0.72768451
 -0.80809809 -0.87570413 -0.92943115 -0.96842762 -0.99207551 -1. ]

out_array with arccosh : [ 0. 0.49682282 0.69574433 0.84411504 0.96590748 1.07053332
 1.16287802 1.24587516 1.32145434 1.39096696 1.45540398 1.51551804
 1.57189678 1.62500948 1.67523791 1.7228975 1.76825238 1.81152627]
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