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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.

A:

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

https://colab.research.google.com/drive/1dOWzEkvdG3dMIRaieMk6jjfJze-fMmfY
https://colab.research.google.com/drive/1KIcnTCon0sN_bn_fA6UKb0U9tnRvxPc9
https://colab.research.google.com/drive/1MXO9SMRalJMv9BnXiIO-3pNDvXcduxBH
https://colab.research.google.com/drive/1uHRb6Lk4qx6qOUEUkiJsENEEXk7J7hRw
https://colab.research.google.com/drive/1pRakSVXTAfGHQJS0cVxnYQFdS9-LUYCV

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