Pandas: Check if a value exists in single/multiple columns index dataframe

Last update on May 01 2025 12:56:39 (UTC/GMT +8 hours)

11. Check Value Existence in Index DataFrame

Write a Pandas program to check if a specified value exists in single and multiple column index dataframe.

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]},
     index =  ['t1', 't2', 't3', 't4', 't5', 't6'])
print("Original DataFrame with single index:")
print(df)
print("\nCheck a value is exist in single column index dataframe:")
print('t1' in df.index)
print('t11' in df.index)
print("\nCreate MultiIndex using columns 't_id', ‘school_code’ and 'class':")
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],
    't_id': ['t1', 't2', 't3', 't4', 't5', 't6']})
df1 = df.set_index(['t_id', 'school_code', 'class'])
print(df1)
print("\nCheck a value is exist in multiple columns index dataframe:")
print('t4' in df1.index.levels[0])
print('t4' in df1.index.levels[1])
print('t4' in df1.index.levels[2])

Sample Output:

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

Check a value is exist in single column index dataframe:
True
False

Create MultiIndex using columns 't_id', ‘school_code’ and 'class':
                                  name date_of_birth  weight
t_id school_code class                                      
t1   s001        V      Alberto Franco    15/05/2002      35
t2   s002        V        Gino Mcneill    17/05/2002      32
t3   s003        VI        Ryan Parkes    16/02/1999      33
t4   s001        VI       Eesha Hinton    25/09/1998      30
t5   s002        V        Gino Mcneill    11/05/2002      31
t6   s004        VI       David Parkes    15/09/1997      32

Check a value is exist in multiple columns index dataframe:
True
False
False 

For more Practice: Solve these Related Problems:

• Write a Pandas program to check if a specified value exists in the index of a DataFrame and output the result as a boolean.
• Write a Pandas program to test for the presence of a value in a MultiIndex and then display the level in which it is found.
• Write a Pandas program to verify if a given index label exists in a DataFrame and then perform an operation based on the check.
• Write a Pandas program to search for a particular value in a DataFrame’s index and then highlight the row if the value is present.

Go to:

• Pandas Indexing Exercises Home ↩
• Pandas Exercises Home ↩

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Python Code Editor:

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