numpy.cosh() in Python Last Updated : 08 Mar, 2024 Summarize Suggest changes Share Like Article Like Report The numpy.cosh() is a mathematical function that helps user to calculate hyperbolic cosine for all x(being the array elements). Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) and np.cos(1j*x). Syntax : numpy.cosh(x[, out]) = ufunc 'cos') Parameters : array : [array_like] elements are in radians. 2pi Radians = 36o degrees Return : An array with hyperbolic cosine of x for all x i.e. array elements Code #1 : Working Python3 # Python3 program explaining # cosh() function import numpy as np import math in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Input array : \n", in_array) cosh_Values = np.cosh(in_array) print ("\ncosine Hyperbolic values : \n", cosh_Values) Output : Input array : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] cosine Hyperbolic values : [ 1. 2.50917848 1.60028686 11.59195328] Code #2 : Graphical representation Python3 # Python program showing Graphical # representation of cosh() function import numpy as np import matplotlib.pyplot as plt in_array = np.linspace(-np.pi, np.pi, 12) out_array = np.cosh(in_array) print("in_array : ", in_array) print("\nout_array : ", out_array) # red for numpy.cosh() plt.plot(in_array, out_array, color = 'red', marker = "o") plt.title("numpy.cosh()") plt.xlabel("X") plt.ylabel("Y") plt.show() Output : in_array : [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798 -0.28559933 0.28559933 0.856798 1.42799666 1.99919533 2.57039399 3.14159265] out_array : [ 11.59195328 6.57373932 3.75927846 2.20506252 1.39006258 1.04106146 1.04106146 1.39006258 2.20506252 3.75927846 6.57373932 11.59195328] Advertise with us Next Article numpy.cos() in Python M mohit gupta_omg :) Follow Similar Reads numpy.cos() in Python numpy.cos(x[, out]) = ufunc 'cos') : This mathematical function helps user to calculate trigonometric cosine for all x(being the array elements). Parameters : array : [array_like]elements are in radians. 2pi Radians = 360 degrees Return : An array with trigonometric cosine of x for all x i.e. array 2 min read numpy.arccosh() in Python 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, op 2 min read numpy.arcsinh() in Python numpy.arcsinh() : This mathematical function helps user to calculate inverse hyperbolic sine, element-wise for all arr. Syntax : numpy.arcsinh(arr, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc 'arcsinh') Parameters : arr : array_like Input array. out : [ndarray, opti 2 min read numpy.arctanh in Python() numpy.arctanh() : This mathematical function helps user to calculate inverse hyperbolic tangent, element-wise for all arr. Syntax : numpy.arctanh(arr, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc 'arctanh') Parameters : arr : array_like Input array. out : [ndarray, o 3 min read math.cos() in Python math.cos() function in Python is part of the built-in math module, which provides access to mathematical functions. The math.cos() function is used to calculate the cosine of an angle, which is a fundamental trigonometric function widely used in various fields like physics, engineering and computer 2 min read numpy.i0() function | Python numpy.i0() function is the modified Bessel function of the first kind, order 0. it's usually denoted by I0. Syntax : numpy.i0(x) Parameters : x : [array_like, dtype float or complex] Argument of the Bessel function. Return : [ndarray, shape = x.shape, dtype = x.dtype] The modified Bessel function ev 1 min read Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Like