﻿ Pandas: Replace arbitrary values with other values in a given DataFrame - w3resource

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

## Pandas: String and Regular Expression Exercise-21 with Solution

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
```

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.

﻿