In pandas add prefix can be used for both series and dataframe.. It is used to prefix labels with string prefix. It is used as a row label of the given series object. In dataframe column, labels are prefixed.
Syntax
DataFrame.add_prefix(prefix)
Parameter:
prefix: The string which we can add before each label.
Return:
It may be series or dataframe with updated labels.
Example
import pandas as pd
df_0= pd.DataFrame({'A': [1, 2, 3, 4], 'B': [5, 6, 7, 8]})
df_0
Output:
A | B | |
---|---|---|
0 | 1 | 5 |
1 | 2 | 6 |
2 | 3 | 7 |
3 | 4 | 8 |
df_0.add_prefix('a_')
Output:
a_A | a_B | |
---|---|---|
0 | 1 | 5 |
1 | 2 | 6 |
2 | 3 | 7 |
3 | 4 | 8 |