Files
Otter-NumericCalculus/tests/interpolation/test_interpolation.py

60 lines
1.6 KiB
Python

from yoshi_otter.interpolation import Interpolation
import pandas as pd
import numpy as np
import unittest
class TestInterpolation(unittest.TestCase):
def setUp(self) -> None:
def f(x):
return 2 * x
X = np.linspace(0, 10, num=100)
Y = [f(x) for x in X]
self.data = pd.DataFrame(data={'X': X, 'Y': Y})
def test_class_instantiation(self):
interpolation = Interpolation(self.data)
self.assertIsInstance(interpolation, Interpolation)
def test_minimums(self):
interpolation = Interpolation(self.data)
func, r2 = interpolation.minimums()
self.assertEqual(func(1), 2)
def test_polynomial_vandermonde(self):
interpolation = Interpolation(self.data)
func = interpolation.polynomial.vandermonde()
self.assertAlmostEqual(func(1), 2)
@unittest.skip("Temporally not working")
def test_polynomial_lagrange(self):
interpolation = Interpolation(self.data)
result = interpolation.polynomial.lagrange(1)
self.assertAlmostEqual(result, 2)
# @unittest.skip("Temporally not working")
def test_polynomial_newton(self):
interpolation = Interpolation(self.data)
result = interpolation.polynomial.newton(1)
self.assertAlmostEqual(result, 2)
@unittest.skip("Temporally not working")
def test_polynomial_gregory(self):
interpolation = Interpolation(self.data)
result = interpolation.polynomial.gregory(1)
self.assertAlmostEqual(result, 2)
if __name__ == '__main__':
unittest.main()