numpy.degrees() and rad2deg() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.degrees() is a mathematical function that helps user to convert angles from radians to degrees. Syntax : numpy.degrees(x[, out]) = ufunc 'degrees') Parameters : array : [array_like] elements are in radians. out : [ndaaray, optional] Output array of same shape as x. 2pi Radians = 360 degrees Return : An array with degree values in place of radian values. Code #1 : Working Python3 # Python3 program explaining # degrees() function import numpy as np import math in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Radian values : \n", in_array) degree_Values = np.degrees(in_array) print ("\nDegree values : \n", degree_Values) Output : Radian values : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Degree values : [ 0. 90. 60. 180.] numpy.rad2deg(x[, out]) = ufunc 'rad2deg') : This mathematical function helps user to convert angles from radians to degrees. Parameters : array : [array_like] elements are in radians. out : [ndaaray, optional]Output array of same shape as x. 2pi Radians = 36o degrees Return : Corresponding angles in degree. Code #2 : rad2deg() Equivalent to degree() Python3 # Python3 program explaining # rad2deg() function import numpy as np import math in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Radian values : \n", in_array) out_Values = np.rad2deg(in_array) print ("\nDegree values : \n", out_Values) Output : Radian values : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Degree values : [ 0. 90. 60. 180.] Comment More infoAdvertise with us Next Article numpy.degrees() and rad2deg() in Python mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads numpy.radians() and deg2rad() in Python The numpy.radians() is a mathematical function that helps user to convert angles from degree to radians. Syntax : numpy.radians(x[, out]) = ufunc 'radians') Parameters : array : [array_like] elements are in degrees. out : [ndaaray, optional]Output array of same shape as x. 2pi Radians = 36o degrees 2 min read degrees() and radians() in Python In geometry and trigonometry, we often switch between degrees and radians. Python’s math module provides two simple functions to handle these conversions:math.radians() – Converts degrees to radiansmath.degrees() – Converts radians to degreesLet’s explore both with examples:math.radians()This functi 2 min read numpy.angle() in Python 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 com 2 min read turtle.degrees() function in Python The turtle module provides turtle graphics primitives, in both object-oriented and procedure-oriented ways. Because it uses tkinter for the underlying graphics, it needs a version of Python installed with Tk support. turtle.degrees() This method is used to set angle measurement units to degrees. By 1 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 numpy.tan() in Python numpy.tan(array[, out]) = ufunc 'tan') : This mathematical function helps user to calculate trigonometric tangent for all x(being the array elements). Parameters : array : [array_like]elements are in radians. out : [optional]shape same as array. 2pi Radians = 360 degrees tan(x) = sin(x) / cos(x) Ret 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.rint() in Python The numpy.rint() is a mathematical function that rounds elements of the array to the nearest integer. Syntax : numpy.rint(x[, out]) = ufunc ‘rint’) Parameters : array : [array_like] Input array. Return : An array with all array elements being rounded off, having same type and shape as input. Code #1 2 min read numpy.cosh() in Python 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 R 2 min read Like