Pandas: how to sort dataframe by column AND by index

Question

Given the DataFrame:

import pandas as pd
df = pd.DataFrame([6, 4, 2, 4, 5], index=[2, 6, 3, 4, 5], columns=[\'A\'])

Results in:

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Answer 1

Using lexsort from numpy may be other way and little faster as well:

df.iloc[np.lexsort((df.index, df.A.values))] # Sort by A.values, then by index

Result:

   A
3  2
4  4
6  4
5  5
2  6

Comparing with timeit:

%%timeit
df.iloc[np.lexsort((df.index, df.A.values))] # Sort by A.values, then by index

Result:

1000 loops, best of 3: 278 µs per loop

With reset index and set index again:

 %%timeit
df.reset_index().sort_values(by=['A','index']).set_index('index')

Result:

100 loops, best of 3: 2.09 ms per loop