Sort DataFrame index that has a string and number

Question

My df DataFrame index looks like this:

Com_Lag_01
Com_Lag_02
Com_Lag_03
Com_Lag_04
Com_Lag_05
Com_Lag_06
Com_Lag_07
Com_Lag_08
Com_Lag_09
Com_Lag_10         


        

Answer 1

One could try something like this, by performing a sort on a numbered version of the index

import pandas as pd
# Create a DataFrame example
df = pd.DataFrame(\
    {'Year': [1991 ,2004 ,2001 ,2009 ,1997],\
    'Age': [27 ,25 ,22 ,34 ,31],\
    },\
    index = ['Com_Lag_1' ,'Com_Lag_12' ,'Com_Lag_3' ,'Com_Lag_24' ,'Com_Lag_5'])

# Add of a column containing a numbered version of the index
df['indexNumber'] = [int(i.split('_')[-1]) for i in df.index]
# Perform sort of the rows
df.sort(['indexNumber'], ascending = [True], inplace = True)
# Deletion of the added column
df.drop('indexNumber', 1, inplace = True)

Edit 2017 - V1:

To avoid SettingWithCopyWarning:

df = df.assign(indexNumber=[int(i.split('_')[-1]) for i in df.index])

Edit 2017 - V2 for Pandas Version 0.21.0

import pandas as pd
print(pd.__version__)
# Create a DataFrame example
df = pd.DataFrame(\
    {'Year': [1991 ,2004 ,2001 ,2009 ,1997],\
    'Age': [27 ,25 ,22 ,34 ,31],\
    },\
    index = ['Com_Lag_1' ,'Com_Lag_12' ,'Com_Lag_3' ,'Com_Lag_24' ,'Com_Lag_5'])

df.reindex(index=df.index.to_series().str.rsplit('_').str[-1].astype(int).sort_values().index)