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Python Introduction to pandas Exploring pandas Optional Challenge #2 - Update Users

Posted by Mark Chesney
Mark Chesney
11,747 Points

renaming one index in pandas DataFrame (jeffrey username)

In this Optional Challenge #2, I can't figure out how to rename an index in a pandas DataFrame row. The idea is that 'jefrey' is the proper spelling, not 'jeffrey'

users.loc['jeffrey']
jef = users.index == 'jeffrey'

# this didn't work -- attempt at creating a new row with correct name
users.loc['jefrey'] = users.loc[jef]

# this didn't work either
users[jef].index = 'jefrey'

Would I use pandas.Index.rename ? (Not sure if we learned it in this course)

2 Answers

Putra Aryotama
Putra Aryotama
36,050 Points

Renaming an index is the same way as you rename a column.

Try this:

users.rename(index={'jeffrey': 'jefrey'}, inplace=True)

To check that the index name has changed:

users.loc['jefrey']
Mark Chesney
Mark Chesney
11,747 Points

thank you Putra!! it makes absolute sense!

Shahriyar Ahmed
Shahriyar Ahmed
1,701 Points
Shahriyar Ahmed
Shahriyar Ahmed
1,701 Points

Ran into the same problem a year later. I used the rename method but didnt include inplace =True. Thank you @Putra Aryotama

Arturo Acosta
Arturo Acosta
7,635 Points
Arturo Acosta
Arturo Acosta
7,635 Points

I did this, actually when i check for both results myself i get jefrey and kimberly's last name Deal as the challenge says but somehow the test shows as if i have errors, but for the purpose of the challenge i did update said values

          ## CHALLENGE - Update users ##

# TODO: Update kimberly@yahoo.com to have the last name of "Deal"

user = users.index[users['email']=='kimberly@yahoo.com']
target1 = user[0]
users.loc[target1,'last_name']='Deal'

# TODO: Update the username jeffrey to jefrey (only one f)
users.rename(index={'jeffrey':'jefrey'},inplace=True)

users.loc[target1], users.loc['jefrey']

#SORRY FOR THIS I DONT KNOW HOW TO SHOW THE OUTPUT ANY OTHER WAY BUT THE OUTPUT READS AS BELOW

(first_name                  Kimberly
 last_name                       Deal
 email             kimberly@yahoo.com
 email_verified                 False
 signup_date               2018-01-06
 referral_count                     5
 balance                        54.73
 Name: kimberly, dtype: object, first_name                        Jeffrey
 last_name                         Stewart
 email             stewart7222@hotmail.com
 email_verified                       True
 signup_date                    2018-01-02
 referral_count                          0
 balance                             40.58
 Name: jefrey, dtype: object)
Flore W
Flore W
4,744 Points
Flore W
Flore W
4,744 Points

I did a workaround without using the "rename" method, but I definitely like Putra's solution better :)

# define a new dictionary with the same key and values from Jeffrey
newdict = dict(first_name='Jeffrey', last_name='Stewart', email='stewart7222@hotmail.com', email_verified=True, signup_date=datetime.strptime('20180102', '%Y%m%d').strftime('%Y-%m-%d'), referral_count=0, balance=40.58)

# transform the dictionary into a panda series
newseries = pd.Series(newdict)

# name the series 'jefrey'
newseries.name='jefrey'

# append that series to the users dataframe
users = users.append(jefrey)

# get rid of the row 'jeffrey'
users.drop(index='jeffrey', inplace=True)

# Return the whole data frame
users