How can I perform 2D interpolation using SciPy?

How can I perform 2D interpolation using SciPy?

You can use the scipy.interpolate.griddata function for 2D interpolation. Do you have specific data points in mind?

Yes, I have some scattered data points in a grid format.

Great! You can provide the x and y coordinates along with the corresponding values. Would you like an example code?

Yes, please! That would be really helpful.

Here's a simple example:

import numpy as np
from scipy.interpolate import griddata

# Sample data
points = np.array([[0, 0], [1, 1], [2, 2]])
values = np.array([1, 2, 3])

# Grid for interpolation
grid_x, grid_y = np.mgrid[0:2:100j, 0:2:100j]

# Interpolating
grid_z = griddata(points, values, (grid_x, grid_y), method='linear')