Pandas: Index column title or name
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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