numpy.radians() and deg2rad() in Python

numpy.radians(x[, out]) = ufunc ‘radians’) : This mathematical function helps user to convert angles from degree to 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



filter_none

edit
close

play_arrow

link
brightness_4
code

# 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)

chevron_right


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()

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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)

chevron_right


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
.

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.




My Personal Notes arrow_drop_up

Aspire to Inspire before I expire

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.