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Sorting columns in a multi-column index in Pandas

I’m using pandas for data analysis. One of the columns I’m using is a multi-column index. My index is sorted based on this column.
How can I use df.sort() to sort this index? For example, if I have the following:
stations=pd.MultiIndex.from_product([[‘ABC’, ‘DEF’,’GHI’], [‘Last Name’, ‘First Name’]])

Then df.set_index(stations).sort(‘Last Name’) is not sorting this index.

You can groupby on the last column, then sort the resulting list of lists, then rejoin to the dataframe using the idx which is created by sorting:
In [20]:

df[‘Last Name’].sort_values(ascending=False).groupby(level=0, sort=False).apply(list).values.reindex(df.index, method=’ffill’).reset_index(drop=True)

Out[20]:

In [21]:

df
Out[21]:
Last Name \
0 ABC
1 DEF
2