issues: 656982083
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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656982083 | MDU6SXNzdWU2NTY5ODIwODM= | 4224 | wrong time encoding after padding | 8161792 | open | 0 | 3 | 2020-07-15T00:46:53Z | 2022-04-29T17:39:17Z | NONE | What happened: If I open a netcdf with default settings (contain a daily time dimension) and then pad with hourly values, even the padded dataset shows hourly time values, the hourly values cannot be saved. I think this is due to the encoding, but I'm not sure how to fix it. What you expected to happen: I expected the final line of code give me ```python array(['2000-01-01T00:00:00.000000000', '2000-01-01T01:00:00.000000000','2000-01-01T02:00:00.000000000', '2000-01-01T03:00:00.000000000','2000-01-01T04:00:00.000000000'], dtype='datetime64[ns]')
array(['2000-01-01T00:00:00.000000000', '2000-01-01T00:00:00.000000000','2000-01-01T00:00:00.000000000', '2000-01-01T00:00:00.000000000','2000-01-01T00:00:00.000000000'], dtype='datetime64[ns]')``` Minimal Complete Verifiable Example: ```python import xarray as xr time = pd.date_range("2000-01-01", freq="1D", periods=365 ) ds = xr.Dataset({"foo": ("time", np.arange(365)), "time": time}) ds.to_netcdf('test5.nc') ds = xr.open_dataset('test5.nc') ds.time.encoding paddingds_hourly = ds.resample(time='1h').pad() ds_hourly.time.values[0:5] array(['2000-01-01T00:00:00.000000000', '2000-01-01T01:00:00.000000000','2000-01-01T02:00:00.000000000', '2000-01-01T03:00:00.000000000','2000-01-01T04:00:00.000000000'], dtype='datetime64[ns]')ds_hourly.to_netcdf('test6.nc') load the padded data fileds_hourly_load = xr.open_dataset('test6.nc') ds_hourly_load.time.values[0:5] array(['2000-01-01T00:00:00.000000000', '2000-01-01T00:00:00.000000000','2000-01-01T00:00:00.000000000', '2000-01-01T00:00:00.000000000','2000-01-01T00:00:00.000000000'], dtype='datetime64[ns]')``` Anything else we need to know?: Environment: xarray version: '0.15.1' Output of <tt>xr.show_versions()</tt> |
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13221727 | issue |