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  • ocefpaf · 2 ✖

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  • Best way to find data variables by standard_name · 2 ✖

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  • CONTRIBUTOR 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
216932304 https://github.com/pydata/xarray/issues/567#issuecomment-216932304 https://api.github.com/repos/pydata/xarray/issues/567 MDEyOklzc3VlQ29tbWVudDIxNjkzMjMwNA== ocefpaf 950575 2016-05-04T17:01:19Z 2016-05-04T17:01:19Z CONTRIBUTOR

@shoyer this made into netcdf4 and some people in my group would like to have this in xarray too. If you think it is worth it I can put a PR together for this.

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  Best way to find data variables by standard_name 105688738
139239983 https://github.com/pydata/xarray/issues/567#issuecomment-139239983 https://api.github.com/repos/pydata/xarray/issues/567 MDEyOklzc3VlQ29tbWVudDEzOTIzOTk4Mw== ocefpaf 950575 2015-09-10T13:50:12Z 2015-09-10T13:50:12Z CONTRIBUTOR

How about the function below? (Stolen from pyaxiom.)

``` python def get_variables_by_attributes(ds, strict=False, **kwargs): """ Returns variables that match specific conditions. * Can pass in key=value parameters and variables are returned that contain all of the matches. ex.: vs = nc.get_variables_by_attributes(axis='X') * Can pass in key=callable parameter and if the callable returns True. The callable should accept a single parameter, the attribute value. None is returned as the attribute valuewhen the attribute does not exist on the variable. ex.: # Get Axis variables vs = nc.get_variables_by_attributes(axis=lambda v: v in ['X', 'Y', 'Z', 'T']) # Get variable that don't have a "axis" attribute vs = nc.get_variables_by_attributes(axis=lambda v: v is None) # Get variable that have a "grid_mapping" attribute vs = nc.get_variables_by_attributes(axis=lambda v: v is not None)

* strict : True/False
    If True will return only 1 variable if only one is found. Default is False.
"""
vs = []

has_value_flag  = False
for vname, var in ds.iteritems():
    for k, v in kwargs.items():
        if callable(v):
            has_value_flag = v(getattr(var, k, None))
            if has_value_flag is False:
                break
        elif hasattr(var, k) and getattr(var, k) == v:
            has_value_flag = True
        else:
            has_value_flag = False
            break

    if has_value_flag is True:
        vs.append(ds[vname])

if strict:
    if len(vs) == 1:
        vs = vs[0]
    else:
        msg = "Expected only one variable.  Got {!r}".format
        raise ValueError(msg(vs))
return vs

```

See it in action here.

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  Best way to find data variables by standard_name 105688738

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