Add notebook to demonstrate differences between various interpolation routines #817
Description
See #816
We have several interpolation methods available in PySPEDAS and PyTplot, with minor differences in capabilities and arguments to be passed. We need a notebook showing how to use each of the available routines, and eventually how to replace them with calls to the routine we will eventually develop and designate as "the" way to do interpolation in PySPEDAS.
https://pyspedas.readthedocs.io/en/latest/interpolation.html
It would be nice to have a notebook with examples including:
scalar-valued arrays or tplot variables
1-d arrays or tplot variables
Higher dimension arrays or tplot variables
Data with NaNs
Extrapolation to times before/after input data
Simple examples are probably easier to understand -- it doesn't have to look like real data.
It would be nice to compare the pyspedas results to what you get from the various IDL SPEDAS interpolation methods: interpol, interpolate, tinterpol (wrapper around tinterpol_mxn)