issue_comments: 300359772

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https://github.com/pydata/xarray/issues/191#issuecomment-300359772 https://api.github.com/repos/pydata/xarray/issues/191 300359772 MDEyOklzc3VlQ29tbWVudDMwMDM1OTc3Mg== 6101444 2017-05-10T02:55:49Z 2017-05-10T02:55:49Z NONE

I have a dataset that looks like the following:

<xarray.Dataset> Dimensions: (lat: 720, lon: 1440, time: 365) Coordinates: * time (time) datetime64[ns] 2006-01-01T12:00:00 2006-01-02T12:00:00 ... * lat (lat) float32 -89.875 -89.625 -89.375 -89.125 -88.875 -88.625 ... * lon (lon) float32 0.125 0.375 0.625 0.875 1.125 1.375 1.625 1.875 ... Data variables: tasmax (time, lat, lon) float64 272.6 272.6 272.6 272.6 272.6 272.6 ... Attributes: parent_experiment: historical parent_experiment_id: historical parent_experiment_rip: r1i1p1 Conventions: CF-1.4 institution: NASA Earth Exchange, NASA Ames Research C... institute_id: NASA-Ames realm: atmos modeling_realm: atmos version: 1.0 downscalingModel: BCSD experiment_id: rcp85 frequency: day realization: 1 initialization_method: 1 physics_version: 1 tracking_id: fd966a07-baec-44e4-8f69-e3cfb2d70dfa driving_data_tracking_ids: N/A driving_model_ensemble_member: r1i1p1 driving_experiment_name: historical driving_experiment: historical model_id: BCSD references: BCSD method: Thrasher et al., 2012, Hydro... DOI: http://dx.doi.org/10.7292/W0MW2F2G experiment: RCP8.5 title: ACCESS1-0 global downscaled NEX CMIP5 Cli... contact: Dr. Rama Nemani: rama.nemani@nasa.gov, Dr... disclaimer: This data is considered provisional and s... resolution_id: 0.25 degree project_id: NEXGDDP table_id: Table day (12 November 2010) source: BCSD 2014 creation_date: 2015-01-07T20:16:06Z forcing: N/A product: output

I am trying to do a linear interpolation for each day where the temp is nan. Is there a straightforward way to do this in Xarray?

 
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