Selecting data variables from DataSet

Here is my code for selecting a set of data variables from a DataSet. Is this the best way to do it?

Code Sample. See get function at the end.

```python import numpy as np import pandas as pd import xarray as xr

temp = 15 + 8 * np.random.randn(2, 2, 3) precip = 10 * np.random.rand(2, 2, 3) pressure = 1000 + np.random.randn(2, 2, 3) lon = [[-99.83, -99.32], [-99.79, -99.23]] lat = [[42.25, 42.21], [42.63, 42.59]]

ds = xr.Dataset({'temperature': (['x', 'y', 'time'], temp), 'precipitation': (['x', 'y', 'time'], precip), 'pressure': (['x', 'y', 'time'], pressure)}, coords={'lon': (['x', 'y'], lon), 'lat': (['x', 'y'], lat), 'time': pd.date_range('2014-09-06', periods=3), 'reference_time': pd.Timestamp('2014-09-05')})

get the precipitation and presseure

ds.get(['precipitation', 'pressure']) ```

Output

text <xarray.Dataset> Dimensions: (time: 3, x: 2, y: 2) Coordinates: lon (x, y) float64 -99.83 -99.32 -99.79 -99.23 lat (x, y) float64 42.25 42.21 42.63 42.59 * time (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08 reference_time datetime64[ns] 2014-09-05 Dimensions without coordinates: x, y Data variables: precipitation (x, y, time) float64 4.762 4.104 0.02204 3.794 7.735 ... pressure (x, y, time) float64 998.8 1.001e+03 1.001e+03 1e+03 ...

Output of xr.show_versions()