Pandas: Replace arbitrary values with other values in a given DataFrame

Last update on April 03 2025 12:56:22 (UTC/GMT +8 hours)

21. Replace Arbitrary Values

Write a Pandas program to replace arbitrary values 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", "C")
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            C   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            C   15/09/1997         23.0

For more Practice: Solve these Related Problems:

• Write a Pandas program to replace specific values in a DataFrame with new ones using the replace() method.
• Write a Pandas program to update a DataFrame by replacing a set of arbitrary values with corresponding alternatives.
• Write a Pandas program to substitute certain values in a DataFrame column based on a mapping dictionary.
• Write a Pandas program to replace given values in multiple columns simultaneously using a nested replacement mapping.

Python Code Editor:

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