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  • Interpolate_na: Rework 'limit' argument documentation/implementation · 2 ✖

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1555970164 https://github.com/pydata/xarray/issues/7665#issuecomment-1555970164 https://api.github.com/repos/pydata/xarray/issues/7665 IC_kwDOAMm_X85cvjh0 Ockenfuss 42680748 2023-05-20T18:44:53Z 2023-05-20T18:44:53Z CONTRIBUTOR

Do you have any thoughts on this?

I think with the following signature, the function will be backward compatible: interpolate_na(dim, method='linear', use_coordinate=True, limit=None, limit_direction='forward', limit_area=None, limit_use_coordinate=False, max_gap=None)

 
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   Interpolate_na: Rework 'limit' argument documentation/implementation 1637898633
1481534629 https://github.com/pydata/xarray/issues/7665#issuecomment-1481534629 https://api.github.com/repos/pydata/xarray/issues/7665 IC_kwDOAMm_X85YTmyl Ockenfuss 42680748 2023-03-23T16:47:57Z 2023-03-23T16:47:57Z CONTRIBUTOR

Two comments if the pandas arguments are introduced: * If the pandas arguments are introduced, one might raise the question, whether the max_gap argument of xarray is still necessary, since pandas does not have such an argument. However, if the user does not want any interpolation if a gap is bigger than a specified length, this is currently not possible with pandas (actually, the max_gap feature is requested by the pandas community since a long time: pandas-dev/pandas#12187 ) * Coordinate handling: Currently, limit is operating on indices, max_gap is operating on coordinates. Is there a deeper reason for this separation? Both operations limit the interpolation 'distance'. If not, similar to use_coordinates, one could introduce something like limit_use_coordinates. If True, limit as well as max_gap refer to numeric coordinates, otherwise to a linearly increasing index ([0,1,2,...]).

 
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   Interpolate_na: Rework 'limit' argument documentation/implementation 1637898633

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