Dataset: how to select a few Data variables and drop the rest

[Ryan Yan]

Hello everyone,
I am wondering if anyone happens to know to select a few Data variables and drop the rest (most of the all).
For instance, in the following example at http://xarray.pydata.org/en/stable/examples/quick-overview.html

In [38]: ds.to_netcdf('example.nc')

In [39]: xr.open_dataset('example.nc')
Out[39]: 
<xarray.Dataset>
Dimensions:  (x: 2, y: 3)
Coordinates:
  * x        (x) object 'a' 'b'
Dimensions without coordinates: y
Data variables:
    baz      float64 3.142
    foo      (x, y) float64 -1.295 0.4137 0.2767 -0.472 -0.01396 -0.3625
    bar      (x) int64 1 2


In [40]: ds2 = xr.open_dataset('example.nc')

, how can we just select the data variables 'foo' and 'bar' for the dataset ds2. Thank you very much for your helps.

Best regards,
Yan

[Stephan Hoyer]

You can do this by indexing with a list of desired variables:

ds2 = ds[['foo', 'bar']]

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[Ryan Yan]

Hi Stephan,
Thank you very much for your help.
The approach you suggested works very well. Many thanks!
Best regards,
Yan

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