numpy.angle() in Python Last Updated : 28 Nov, 2018 Summarize Comments Improve Suggest changes Share Like Article Like Report numpy.angle() function is used when we want to compute the angle of the complex argument. A complex number is represented by “ x + yi " where x and y are real number and i= (-1)^1/2. The angle is calculated by the formula tan-1(x/y). Syntax : numpy.angle(z, deg=0) Parameters : z : [array_like] A complex number or sequence of complex numbers. deg : [bool, optional] Return angle in degrees if True, radians if False (default). Return : angle : The counterclockwise angle from the positive real axis on the complex plane, with dtype as numpy.float64. Code #1 : Working Python # Python program explaining # numpy.angle() function # when we want answer in radian import numpy as geek in_list =[2.0, 1.0j, 1 + 1j] print ("Input list : ", in_list) out_angle = geek.angle(in_list) print ("output angle in radians : ", out_angle) Output : Input list : [2.0, 1j, (1+1j)] output angle in radians : [ 0. 1.57079633 0.78539816] Code #2 : Working Python # Python program explaining # numpy.angle() function # when we want answer in degrees import numpy as geek in_list =[2.0, 1.0j, 1 + 1j] print ("Input list : ", in_list) out_angle = geek.angle(in_list, deg = True) print ("output angle in degrees : ", out_angle) Output : Input list : [2.0, 1j, (1+1j)] output angle in degrees : [ 0. 90. 45.] Comment More infoAdvertise with us Next Article numpy.angle() in Python J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads numpy.arctan() in Python numpy.arctan(x[, out]) = ufunc 'arctan') : This mathematical function helps user to calculate inverse tangent for all x(being the array elements). Parameters : array : [array_like]elements are in radians. out : [array_like]array of same shape as x. Note : 2pi Radians = 360 degrees The convention is 2 min read numpy.arcsin() in Python numpy.arcsin(x[, out]) = ufunc 'arcsin') : This mathematical function helps user to calculate inverse sine for all x(being the array elements). Parameters : array : [array_like]elements are in radians. out : [array_like]array of same shape as x. Return : An array with inverse sine of x for all x i.e 2 min read numpy.arctan2() in Python The numpy.arctan2() method computes element-wise arc tangent of arr1/arr2 choosing the quadrant correctly. The quadrant is chosen so that arctan2(x1, x2) is the signed angle in radians between the ray ending at the origin and passing through the point (1, 0), and the ray ending at the origin and pas 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.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 Like