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 = 1and 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
columnsattribute 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.valuesattribute 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.