numpy.tan() in Python
numpy.tan(array[, out]) = ufunc ‘tan’) : This mathematical function helps user to calculate trignometric tangent for all x(being the array elements).
Parameters :
array : [array_like]elements are in radians. out : [optional]shape same as array.
2pi Radians = 360 degrees tan(x) = sin(x) / cos(x)
Return :
An array with trignometric sine of x for all x i.e. array elements
Code #1 : Working
# Python program explaining # tan() function import numpy as np import math in_array = [0, math.pi / 4, 3*np.pi / 2, math.pi/6] print ("Input array : \n", in_array) tan_Values = np.tan(in_array) print ("\nTan values : \n", tan_Values) |
Output :
Input array : [0, 0.7853981633974483, 4.71238898038469, 0.5235987755982988] Tan values : [ 0.00000000e+00 1.00000000e+00 5.44374645e+15 5.77350269e-01]
Code #2 : Graphical representation
# Python program showing # Graphical representation of # tan() function import numpy as np import matplotlib.pyplot as plt in_array = np.linspace(0, np.pi, 12) out_array = np.tan(in_array) print("in_array : ", in_array) print("\nout_array : ", out_array) # red for numpy.tan() plt.plot(in_array, out_array, color = 'red', marker = "o") plt.title("numpy.tan()") plt.xlabel("X") plt.ylabel("Y") plt.show() |
Output :
in_array : [ 0. 0.28559933 0.57119866 0.856798 1.14239733 1.42799666 1.71359599 1.99919533 2.28479466 2.57039399 2.85599332 3.14159265] out_array : [ 0.00000000e+00 2.93626493e-01 6.42660977e-01 1.15406152e+00 2.18969456e+00 6.95515277e+00 -6.95515277e+00 -2.18969456e+00 -1.15406152e+00 -6.42660977e-01 -2.93626493e-01 -1.22464680e-16]
References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.tan.html#numpy.tan
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