I would like to replace the time in one dataset with the time in another dataset. I have tried .concat(), .merge() and .update() with various errors. Details of the errors for each of those steps and the datasets are posted below. Any feedback on how I might resolve this will be greatly appreciated.

``` ds = xray.open_mfdataset('/DATA/WRF///*T_SFC.nc')

time=ds['time'].to_index()

time_utc = time.tz_localize('UTC') au_tz = pytz.timezone('Australia/Sydney')

convert UTC to local time

time_local = time_utc.tz_convert(au_tz) time_local=time_local.tz_localize(None)

local_series=time_local.to_series() local_df=local_series.to_frame() local_df.columns=['localtime']

local_ds=xray.Dataset.from_dataframe(local_df)

newconcat_ds=xray.concat(ds, local_ds['localtime']) #TypeError: can only concatenate xray Dataset and DataArray objects

newmerge_ds=ds.merge(local_ds) #InvalidIndexError: Reindexing only valid with uniquely valued Index objects

newupdate_ds=ds.update(ds['time'],local_ds['time']) #TypeError: unhashable type: 'DataArray' ```

I would like to replace the time in this dataset:

``` In[333]:ds Out[333]: <xray.Dataset> Dimensions: (latitude: 106, longitude: 193, time: 17520) Coordinates: * latitude (latitude) float32 -39.2 -39.1495 -39.099 -39.0486 -38.9981 ... * longitude (longitude) float32 140.8 140.848 140.896 140.944 140.992 ... * time (time) datetime64[ns] 2009-01-01 2009-01-01T01:00:00 ...

Data variables:

T_SFC (time, latitude, longitude) float64 13.83 13.86 13.89 13.92 ... Attributes: creationTime: 1431922712 creationTimeString: Sun May 17 21:18:32 PDT 2015 Conventions: COARDS ```

I would like to use the time in this dataset to replace the time in the first dataset:

``` In[334]: local_ds Out[334]: <xray.Dataset> Dimensions: (time: 17520) Coordinates: * time (time) datetime64[ns] 2009-01-01T11:00:00 2009-01-01T12:00:00 ...

Data variables:

localtime (time) datetime64[ns] 2009-01-01T11:00:00 2009-01-01T12:00:00 ... ```