Pandas: Replace more than one value with other values in a given DataFrame

Last update on May 02 2025 12:51:36 (UTC/GMT +8 hours)

22. Replace Multiple Values

Write a Pandas program to replace more than one value with other values in a given DataFrame.

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'company_code': ['A','B', 'C', 'D', 'A'],
    'date_of_sale': ['12/05/2002','16/02/1999','25/09/1998','12/02/2022','15/09/1997'],
    'sale_amount': [12348.5, 233331.2, 22.5, 2566552.0, 23.0]
})

print("Original DataFrame:")
print(df)

print("\nReplace A with c:")
df = df.replace(["A", "D"], ["X", "Y"])
print(df)

Sample Output:

Original DataFrame:
  company_code date_of_sale  sale_amount
0            A   12/05/2002      12348.5
1            B   16/02/1999     233331.2
2            C   25/09/1998         22.5
3            D   12/02/2022    2566552.0
4            A   15/09/1997         23.0

Replace A with c:
  company_code date_of_sale  sale_amount
0            X   12/05/2002      12348.5
1            B   16/02/1999     233331.2
2            C   25/09/1998         22.5
3            Y   12/02/2022    2566552.0
4            X   15/09/1997         23.0

For more Practice: Solve these Related Problems:

Write a Pandas program to replace more than one value in a DataFrame column with new values using a list mapping.
Write a Pandas program to update a DataFrame by replacing several target values in one or more columns at once.
Write a Pandas program to apply multiple replacements across the DataFrame using the replace() method with a dictionary of mappings.
Write a Pandas program to simultaneously substitute multiple values in a DataFrame and then verify the changes by comparing unique values.

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Python Code Editor:

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