Renaming Certain Columns in a Dataframe

In this thread, the main focus would be on different techniques that are used to rename specific columns in a data frame, there may be times when you only want to rename certain columns and leave the rest as it is. Here are a few ways through which you can rename specific data frame columns:

1. Using "rename()" method:

  • A simple way to rename specific columns in a data frame is to use the rename() function with a dictionary.
  • The keys of the dictionary represent the original column names, and the values represent the new column names.

2. Using "set_axis()" method:

  • The set_axis() function is used to rename columns or indexes of the rows in the dataset.
  • To rename columns, we give an argument axis = 1 and also pass a list of new column names as an argument.

Note: The size of the columns list we pass should be equal to the number of columns in the data frame. If you don’t want to rename a column and keep it as it is, simply write the same name in the list.

3. Using the "columns" attribute:

  • We can use the columns attribute and pass a list of columns to rename the columns of the data frame.

Note: The size of the columns list we pass should be equal to the number of columns in the data frame. If you don’t want to rename a column and keep it as it is, simply write the same name in the list.

4. Using "columns.values" attribute:

  • We can use the columns.values attribute to rename specific columns in the data frame by using their index positions.
  • The advantage of this approach is that we can only rename the columns we want to and ignore the rest, which was not the case in the previous two approaches.