Renaming columns in Pandas DataFrame
The Python Pandas module is a high performance, highly reliable, and high level data analytical library. The primary object in Pandas is called a DataFrame . The data in the DataFrame columns can contain alphanumerical characters or logical data and can be of the same type. Renaming DataFrame column headers is quite useful when you load a grid of data that has no column headers or if you want to assign different column headers to specific columns .
The DataFrame.rename shows that it accepts a dict as a parameter for columns headers, so you just pass a dict with a single entry.
Create a Pandas DataFrame with data
Reanme DataFrame column headers
In the above output rename column header Name to Students_name and Promoted to IsPromoted.
|old_name||Old column header.|
|new_name||Newly assinged column header.|
|axis=1||It's a column-wise operation.|
|inplace=True||The data is renamed in place, returns None.|