Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas Index.tolist() function return a list of the values. These are each a scalar type, which is a Python scalar (for str, int, float) or a pandas scalar (for Timestamp/Timedelta/Interval/Period).
Syntax: Index.tolist()
Parameters : None
Returns : list
Example #1: Use Index.tolist() function to convert the index into a list.
# importing pandas as pdimport pandas as pd  # Creating the indexidx = pd.Index(['Harry', 'Mike', 'Arther', 'Nick'],                                  name ='Student')  # Print the Indexprint(idx) |
Output :
Let’s convert the index into a List.
# convert the index into a listidx.tolist() |
Output :
Â
Example #2: Use Index.tolist() function to convert the index into a python list.
# importing pandas as pdimport pandas as pd  # Creating the indexidx = pd.Index(['2000-01-02', '2000-02-05', '2000-05-11',                            '2001-02-11', '2005-11-12'])  # Print the Indexprint(idx) |
Output :
Let’s convert the index into a List.
# convert the index into a listidx.tolist() |
Output :
