issue_comments: 78192774
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/364#issuecomment-78192774 | https://api.github.com/repos/pydata/xarray/issues/364 | 78192774 | MDEyOklzc3VlQ29tbWVudDc4MTkyNzc0 | 1217238 | 2015-03-11T03:08:31Z | 2015-03-11T03:08:31Z | MEMBER | I don't think the timeofday issue is related to using Timedeltas in the index (and it's certainly not related to the Here's an example that seems to be working properly (except for uselessly display timedeltas in nanoseconds): ``` In [29]: time = pd.date_range('2000-01-01', freq='H', periods=100) In [30]: daystart = time.to_period(freq='1D').to_datetime() In [31]: timeofday = time.values - daystart.values In [32]: ds = xray.Dataset({'data': ('time', range(100))}, {'time': time, 'timeofday': ('time', timeofday)}) In [33]: ds Out[33]: <xray.Dataset> Dimensions: (time: 100) Coordinates: timeofday (time) timedelta64[ns] 0 nanoseconds ... * time (time) datetime64[ns] 2000-01-01 2000-01-01T01:00:00 ... Data variables: data (time) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 ... In [34]: ds.groupby('timeofday').mean('time') Out[34]: <xray.Dataset> Dimensions: (timeofday: 24) Coordinates: * timeofday (timeofday) timedelta64[ns] 0 nanoseconds ... Data variables: data (timeofday) float64 48.0 49.0 50.0 51.0 40.0 41.0 42.0 43.0 44.0 45.0 46.0 ... ``` |
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