Python | Tensorflow tan() method

# Importing the Tensorflow library
import tensorflow as tf

# A constant vector of size 6
a = tf.constant([1.0, -0.5, 3.4, -2.1, 0.0, -6.5],
                               dtype = tf.float32)

# Applying the tan function and
# storing the result in 'b'
b = tf.tan(a, name ='tan')

# Initiating a Tensorflow session
with tf.Session() as sess:
    print('Input type:', a)
    print('Input:', sess.run(a))
    print('Return type:', b)
    print('Output:', sess.run(b))

# Importing the Tensorflow library
import tensorflow as tf

# Importing the NumPy library
import numpy as np

# Importing the matplotlib.pyplot function
import matplotlib.pyplot as plt

# A vector of size 15 with values from -1 to 1
a = np.linspace(-1, 1, 15)

# Applying the tangent function and
# storing the result in 'b'
b = tf.tan(a, name ='tan')

# Initiating a Tensorflow session
with tf.Session() as sess:
    print('Input:', a)
    print('Output:', sess.run(b))
    plt.plot(a, sess.run(b), color = 'red', marker = "o") 
    plt.title("tensorflow.tan") 
    plt.xlabel("X") 
    plt.ylabel("Y") 

    plt.show()