Kode Python Polinomial Lagrange
# 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):
p = 1
for j in range(n):
if i != j:
p = p * (xp - x[j])/(x[i] - x[j])
yp = yp + p * y[i]
# Displaying output
print('Interpolated value at %.3f is %.3f.' % (xp, yp))
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