Pandas: Index column title or name

Pandas Indexing: Exercise-7 with Solution

Write a Pandas program to create a dataframe and set a title or name of the index column.

Test Data:

0        s001     V  Alberto Franco     15/05/2002      35  street1   t1
1        s002     V    Gino Mcneill     17/05/2002      32  street2   t2
2        s003    VI     Ryan Parkes     16/02/1999      33  street3   t3
3        s001    VI    Eesha Hinton     25/09/1998      30  street1   t4
4        s002     V    Gino Mcneill     11/05/2002      31  street2   t5
5        s004    VI    David Parkes     15/09/1997      32  street4   t6

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'school_code': ['s001','s002','s003','s001','s002','s004'],
    'class': ['V', 'V', 'VI', 'VI', 'V', 'VI'],
    'name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Gino Mcneill', 'David Parkes'],
    'date_Of_Birth': ['15/05/2002','17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
    'weight': [35, 32, 33, 30, 31, 32],
    'address': ['street1', 'street2', 'street3', 'street1', 'street2', 'street4']},
                                index = ['t1', 't2', 't3', 't4', 't5', 't6'])
print("Original DataFrame:")
print(df)
df.index.name = 'Index_name'
print("\nSaid DataFrame with a title or name of the index column:")
print(df)

Sample Output:

Original DataFrame:
   school_code class            name date_Of_Birth  weight  address
t1        s001     V  Alberto Franco    15/05/2002      35  street1
t2        s002     V    Gino Mcneill    17/05/2002      32  street2
t3        s003    VI     Ryan Parkes    16/02/1999      33  street3
t4        s001    VI    Eesha Hinton    25/09/1998      30  street1
t5        s002     V    Gino Mcneill    11/05/2002      31  street2
t6        s004    VI    David Parkes    15/09/1997      32  street4

Said DataFrame with a title or name of the index column:
           school_code class   ...    weight  address
Index_name                     ...                   
t1                s001     V   ...        35  street1
t2                s002     V   ...        32  street2
t3                s003    VI   ...        33  street3
t4                s001    VI   ...        30  street1
t5                s002     V   ...        31  street2
t6                s004    VI   ...        32  street4

[6 rows x 6 columns]    

Python Code Editor:

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