Inverse Distance Weighted (IDW) Interpolation with Python
The Question:
What is the best way to calculate inverse distance weighted (IDW) interpolation in Python, for point locations?
interpolation
Interpolate NaN values in a numpy array
Is there a quick way of replacing all NaN values in a numpy array with (say) the linearly interpolated values?
How can I perform two-dimensional interpolation using scipy?
This Q&A is intended as a canonical(-ish) concerning two-dimensional (and multi-dimensional) interpolation using scipy. There are often questions concerning the basic syntax of various multidimensional interpolation methods, I hope to set these straight too.
Pandas interpolate within a groupby
I’ve got a dataframe with the following information:
Multivariate spline interpolation in python/scipy?
Is there a library module or other straightforward way to implement multivariate spline interpolation in python?
Interpolation over an irregular grid
So, I have three numpy arrays which store latitude, longitude, and some property value on a grid — that is, I have LAT(y,x), LON(y,x), and, say temperature T(y,x), for some limits of x and y. The grid isn’t necessarily regular — in fact, it’s tripolar.