# Lagrange Interpolation

# Importing NumPy Library
import numpy as np

# Reading number of unknowns
n = int(input('Enter number of data points: '))

# Making numpy array of n & n x n size and initializing 
# to zero for storing x and y value along with differences of y
x = np.zeros((n))
y = np.zeros((n))


# Reading data points
print('Enter data for x and y: ')
for i in range(n):
    x[i] = float(input( 'x['+str(i)+']='))
    y[i] = float(input( 'y['+str(i)+']='))


# Reading interpolation point
xp = float(input('Enter interpolation point: '))

# Set interpolated value initially to zero
yp = 0

# Implementing Lagrange Interpolation
for i in range(n):
    
   yp=xp-x[i]
     

# Displaying output
print('Interpolated value at %.3f is %.3f.' % (xp, yp))