Leonardo Uieda
Leonardo Uieda
@RichardScottOZ the nearest neighbor interpolation is fast and can handle large datasets. The Spline certainly wouldn't but it's generally a bad extrapolator. @leomiquelutti we could add a `fill_nans` argument that...
The default, which is nearest neighbor interpolation.
Not really. The mask can be generated with the original grid with a call to `np.isnan` so it's not worth the extra return valeu only when `fillna=True`.
@leomiquelutti ready and released, yes.
Hi @zaarcvon thank you for reporting this! Good catch! You'll see that in the rest of the function we avoid using the dimension names precisely for this reason but that...
Thanks for starting this discussion @lwasser (and pinging me)! My 2-cents: I see a bit of contradiction in the requirements mentioned above: 1. "all major functions should be stable enough...
@gabrahamastro could you please post the error message that you got? Without it, it's hard to know what went wrong.
@gabrahamastro thank you! OK, the problem is that you're doing the `convexhull_mask` and then trying to reduce to the pole. For these FFT-based filters, you can't have missing values in...
Also, note that in your reduction to the pole you don't specify the source magnetization direction. An induced magnetization is implied and your reduction will only be correct if this...
Let me know if removing the mask works of it comes up again. I'll close this issue for now but if you're still getting an error, please feel free to...