#cree un indice par defaut sur la base de donnee

df.reset_index()

​

# method A

df = df.set_index('col')

# method B

df['col'] = df.index

df.set_index('col') # Set a single column as index

df.set_index(['col1','col2']) # Create multi-level index

#Python 3

#Declare list of index

#and just assign it to the existing dataframe

​

separate_list = [1,2,3,4,5]

df.index = separate_list

index = [1,2]

df.index = index

import pandas as pd

​

# Assuming the dataframe is already created and named 'df'

​

# Set a single column as the index

df.set_index('column_name', inplace=True)

​

# Set multiple columns as the index (creating a MultiIndex)

df.set_index(['column_name1', 'column_name2'], inplace=True)

​

# Reset the index to the default integer index

df.reset_index(inplace=True)

>>> df.set_index('month')

       year  sale

month

1      2012    55

4      2014    40

7      2013    84

10     2014    31

​

Pandas dataframe set-index

Pandas dataframe set-index

Pandas dataframe set-index