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- interp over time coordinate · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 404641052 | https://github.com/pydata/xarray/issues/2284#issuecomment-404641052 | https://api.github.com/repos/pydata/xarray/issues/2284 | MDEyOklzc3VlQ29tbWVudDQwNDY0MTA1Mg== | czr137 6153603 | 2018-07-12T20:31:37Z | 2018-07-12T20:31:37Z | CONTRIBUTOR | Thanks, I will gladly exercise patience until then. |
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interp over time coordinate 340757861 | |
| 404628605 | https://github.com/pydata/xarray/issues/2284#issuecomment-404628605 | https://api.github.com/repos/pydata/xarray/issues/2284 | MDEyOklzc3VlQ29tbWVudDQwNDYyODYwNQ== | shoyer 1217238 | 2018-07-12T19:44:37Z | 2018-07-12T19:44:37Z | MEMBER | Thanks for bringing this up. @fujiisoup actually implemented interpolation for datetime64 as part of writing In [7]: ds.interp(lat=60.5, lon=211, time=np.datetime64('2013-01-01T03:14:37')) Out[7]: <xarray.Dataset> Dimensions: () Coordinates: lat float64 60.5 lon int64 211 time datetime64[ns] 2013-01-01T03:14:37 Data variables: air float64 273.5 Attributes: Conventions: COARDS title: 4x daily NMC reanalysis (1948) description: Data is from NMC initialized reanalysis\n(4x/day). These a... platform: Model references: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly... ``` However, you do currently need to wrap your indexer explicitly in a (I'll try to release 0.10.8 soon, maybe within the next week) |
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interp over time coordinate 340757861 |
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