Filtering multiple items in a multi-index Python Panda dataframe

Question

I have the following table:

Note: Both NSRCODE and PBL_AWI are index\'s

Note: the % Of area column would be filled out just have not done so yet.

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Answer 1

Also (from here):

def filter_by(df, constraints):
    """Filter MultiIndex by sublevels."""
    indexer = [constraints[name] if name in constraints else slice(None)
               for name in df.index.names]
    return df.loc[tuple(indexer)] if len(df.shape) == 1 else df.loc[tuple(indexer),]

pd.Series.filter_by = filter_by
pd.DataFrame.filter_by = filter_by

... to be used as

df.filter_by({'PBL_AWI' : ['Lake', 'River', 'Upland']})

(untested with Panels and higher dimension elements, but I do expect it to work)