Python | Pandas dataframe.add_prefix()
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Dataframe.add_prefix() function can be used with both series as well as dataframes.
- For Series, the row labels are prefixed.
- For DataFrame, the column labels are prefixed.
Syntax: DataFrame.add_prefix(prefix) Parameters: prefix : string Returns: with_prefix: type of caller
For link to CSV file Used in Code, click here
Example #1: Prefix
col_ in each columns in the dataframe
Example #2: Using
add_prefix() with Series in pandas
add_prefix() alters the row index labels in the case of series.