Open In App
Related Articles

numpy.radians() and deg2rad() in Python

Improve
Improve
Improve
Like Article
Like
Save Article
Save
Report issue
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 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 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]
  References : https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.radians.html#numpy.radians .

Last Updated : 04 Dec, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads