how to replace certain columns without changing the order the columns in python

To replace certain columns in a dataframe in Python without changing the order of the columns, you can use the indexing operator [] and assign new values to the columns you want to replace.

Here's an example of how to do it using the pandas library:

main.py
import pandas as pd

# Create a sample dataframe
data = {'Column1': [1, 2, 3],
        'Column2': ['A', 'B', 'C'],
        'Column3': [4.5, 6.7, 8.9]}
df = pd.DataFrame(data)

# Replace Column2 and Column3 with new values
df['Column2'] = ['X', 'Y', 'Z']
df['Column3'] = [1.2, 3.4, 5.6]

# Print the updated dataframe
print(df)
327 chars
15 lines

Output:

main.py
   Column1 Column2  Column3
0        1       X      1.2
1        2       Y      3.4
2        3       Z      5.6
112 chars
5 lines

In this example, we created a sample dataframe with three columns (Column1, Column2, and Column3). We then used the indexing operator [] to assign new values to the Column2 and Column3, effectively replacing the original values. The order of the columns remained the same after the replacement.

Make sure that the new values you assign have the same length as the original columns, otherwise you will get an error.