এসসিপি

from scipy import interpolate

x = [0, 1, 2, 3]
y = [0, 2, 4, 6]

result = interpolate.interp1d(x, y)

print(result(1.5))

from scipy.interpolate import CubicSpline

x = [0, 1, 2, 3]
y = [0, 2, 4, 3]

result = CubicSpline(x, y)

print(result(1.5))

from scipy.interpolate import PchipInterpolator

x = [0, 1, 2, 3]
y = [0, 2, 4, 3]

result = PchipInterpolator(x, y)

print(result(1.5))

from scipy.interpolate import Akima1DInterpolator

x = [0, 1, 2, 3, 4]
y = [0, 2, 3, 5, 4]

result = Akima1DInterpolator(x, y)

print(result(2.5))

from scipy.interpolate import BarycentricInterpolator

x = [0, 1, 2, 3]
y = [1, 3, 7, 13]

result = BarycentricInterpolator(x, y)

print(result(1.5))

from scipy.interpolate import UnivariateSpline

x = [0, 1, 2, 3, 4]
y = [0, 2, 3, 5, 4]

result = UnivariateSpline(x, y)

print(result(2.5))

from scipy.interpolate import LSQUnivariateSpline

x = [0, 1, 2, 3, 4, 5]
y = [0, 2, 3, 5, 4, 7]

result = LSQUnivariateSpline(
    x,
    y,
    [2, 4]
)

print(result(3))

from scipy.interpolate import InterpolatedUnivariateSpline

x = [0, 1, 2, 3]
y = [0, 2, 4, 6]

result = InterpolatedUnivariateSpline(x, y)

print(result(1.5))

from scipy.interpolate import RegularGridInterpolator

x = [0, 1, 2]
y = [0, 1, 2]

values = [
    [0, 1, 2],
    [1, 2, 3],
    [2, 3, 4]
]

result = RegularGridInterpolator(
    (x, y),
    values
)

print(result([[1.5, 1.5]]))

from scipy.interpolate import griddata

points = [
    [0, 0],
    [1, 0],
    [0, 1],
    [1, 1]
]

values = [0, 1, 1, 2]

result = griddata(
    points,
    values,
    [[0.5, 0.5]],
    method="linear"
)

print(result)