rad2deg()

Numpy Math Functions

Returns array with radian values.
aInput array with degree
outOptional , ndarray to store result
whereOptional , array with True to get values and False to leave the value

Examples

We will use the options in our sample scripts.
import numpy as np
# input in radians
ar_rad=np.array([1.57079633, 2.0943951,  2.7925268,3.14159265])
ar_deg=np.rad2deg(ar_rad)
print(ar_deg) # output in degree
Output
[ 90.00000018 119.99999986 159.99999982 179.99999979]
In above output in degree we can use round() to roundup the values to nearest number. The last line we will change.
print(np.round(ar_deg))
Output
[ 90. 120. 160. 180.]

dtype

We will use dtype=float
import numpy as np
ar_rad=np.array([2.0943951,  2.7925268,  3.14159265])
ar_deg=np.rad2deg(ar_rad,dtype=float)
print(ar_deg)
Output
[119.99999986 159.99999982 179.99999979]

where

Value to convert to radian or not we can decide by using another array filled with True and False.
import numpy as np
ar_rad=np.array([2.0943951,  2.7925268,  3.14159265])
ar_where=np.array([True,False,True])
ar_deg=np.rad2deg(ar_rad,where=ar_where)
print(ar_deg)
Output
[119.99999986   2.7925268  179.99999979]

out

We can store the output in an array. We used shape() to create array (ar_out) of same shape() of our main array ar_rad.
We used ones() to create array of same shape() of our input array with degree values.
import numpy as np
ar_rad=np.array([2.0943951,  2.7925268,  3.14159265])
ar_out=np.ones(ar_rad.shape)
ar_deg=np.rad2deg(ar_rad,out=ar_out)
print(ar_deg)
print(ar_out)

print(ar_rad is ar_out)
Output
[119.99999986 159.99999982 179.99999979]
[119.99999986 159.99999982 179.99999979]
False
Numpy radians() bincount() arange() linspace()


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