numpy.arctan () in Python



Parameters :

  array:  [array_like] elements are in radians.  out:  [array_like] array of same shape as x. 

Note:

2pi Radians = 360 degrees
The convention is to return the angle z whose real part lies in [- pi / 2, pi / 2].

Return:

 An array with inverse tangent of x for all x ie array elements. The values ​​are in the closed interval [-pi / 2, pi / 2]. 

Code # 1: Work

# Python program explaining
# arctan () function

 

import numpy as np

  

in_array = [ 0 , 1 , 0.3 , - 1 ]

print ( "Input array: " , in_array)

  

arctan_Values ​​ = np.arctan (in_array )

print ( "Inverse Tangent values : " ,

  arctan_Values)

Output:

 Input array: [0, 1, 0.3, -1] Inverse Tangent values: [0. 0.78539816 0.29145679 -0.78539816] 

Code # 2: Graphical representation

# Show Python program
# Graphical view
# arctan () functions

 

import numpy as np

import matplotlib.pyplot as plt

 

in_array = np.linspace ( - np.pi, np.pi, 12 )

out_array1 = np.tan (in_array)

out_array2 = np.arctan (in_array)

 

print ( "in_array:" , in_array)

print ( "out_array with tan:" , out_ar ray1)

print ( "out_arraywith arctan : " , out_array1)

  
# red for numpy.arccos ()
plt.plot (in_array, out_array1,

color = `blue` , marker = "*" )

 
plt.plot (in_array, out_array2,

color = ` red` , marker = "o" )

 

plt.title ( "blue: numpy.tan () red: numpy.arctan ()" )

plt.xlabel ( "X" )

plt.ylabel ( "Y" )

plt.show ()

Output:

 in_array: [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798 -0.28559933 0.28559933 0.856798 1.42799666 1.99919533 2.57039399 3.14159265] out_array with tan6.4680 01 2.18969456e + 00 -6.95515277e + 00 -1.15406152e + 00 -2.93626493e-01 2.93626493e-01 1.15406152e + 00 6.95515277e + 00 -2.18969456e + 00 -6.42660977e-01 -1.22464680e-16] out_array : [1.22464680e-16 6.42660977e-01 2.18969456e + 00 -6.95515277e + 00 -1.15406152e + 00 -2.93 626493e-01 2.93626493e-01 1.15406152e + 00 6.95515277e + 00 -2.18969456e + 00 -6.42660977e-01 -1.22464680e-16] 

Links:
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.arcsin. html # numpy.arccos
,