Open In App

numpy.radians() and deg2rad() in Python

Last Updated : 08 Mar, 2024
Comments
Improve
Suggest changes
Like Article
Like
Report
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 Return : An array with radian values in place of degree values.
  Code #1 : Working Python3
# Python3 program explaining
# degrees() function

import numpy as np
import math

in_array = np.arange(10.) * 90
print ("Degree values : \n", in_array)

radian_Values = np.radians(in_array)
print ("\nRadian values : \n", radian_Values)
Output :
Degree values : 
 [   0.   90.  180.  270.  360.  450.  540.  630.  720.  810.]

Radian values : 
 [  0.           1.57079633   3.14159265   4.71238898   6.28318531
   7.85398163   9.42477796  10.99557429  12.56637061  14.13716694]
  numpy.deg2rad(x[, out]) = ufunc 'deg2rad') : This mathematical function helps user to convert angles from degrees to radians
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 radians.
  Code #2 : deg2rad() Equivalent to radians() Python3
# Python3 program explaining
# rad2deg() function

import numpy as np
import math

degree = np.arange(10.) * 90
print ("Degree values : \n", degree)

radian = np.deg2rad(degree)
print ("\nradian values : \n", radian)
Output :
Degree values : 
 [   0.   90.  180.  270.  360.  450.  540.  630.  720.  810.]

radian values : 
 [  0.           1.57079633   3.14159265   4.71238898   6.28318531
   7.85398163   9.42477796  10.99557429  12.56637061  14.13716694]
 

Similar Reads

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy