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 .
syntax:
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.
example:
Create a Pandas DataFrame with data
Reanme DataFrame column headers
explanation:
In the above output rename column header Name to Students_name and Promoted to IsPromoted.
Property | Description |
---|---|
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. |