<xarray.DataArray 'zwattablrt' (time: 2920, county: 3108)> dask.array<groupby_nanmean, shape=(2920, 3108), dtype=float64, chunksize=(224, 3108), chunktype=numpy.ndarray> Coordinates: (4) Attributes: (4)
|
array(['2001-01-01T00:00:00.000000000', '2001-01-01T03:00:00.000000000', '2001-01-01T06:00:00.000000000', ..., '2001-12-31T15:00:00.000000000', '2001-12-31T18:00:00.000000000', '2001-12-31T21:00:00.000000000'], dtype='datetime64[ns]')
array(1)
array(0)
array([ 1001, 1003, 1005, ..., 56041, 56043, 56045], dtype=int32)
PandasIndex(DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 03:00:00', '2001-01-01 06:00:00', '2001-01-01 09:00:00', '2001-01-01 12:00:00', '2001-01-01 15:00:00', '2001-01-01 18:00:00', '2001-01-01 21:00:00', '2001-01-02 00:00:00', '2001-01-02 03:00:00', ... '2001-12-30 18:00:00', '2001-12-30 21:00:00', '2001-12-31 00:00:00', '2001-12-31 03:00:00', '2001-12-31 06:00:00', '2001-12-31 09:00:00', '2001-12-31 12:00:00', '2001-12-31 15:00:00', '2001-12-31 18:00:00', '2001-12-31 21:00:00'], dtype='datetime64[ns]', name='time', length=2920, freq=None))
PandasIndex(Index([ 1001, 1003, 1005, 1007, 1009, 1011, 1013, 1015, 1017, 1019, ... 56027, 56029, 56031, 56033, 56035, 56037, 56039, 56041, 56043, 56045], dtype='int32', name='county', length=3108))