DataFrame columns

A DataFrame is a two-dimensional data structure in which data is organized in rows and columns. The columns of a DataFrame represent the different variables or attributes of the data. Each column is a Series object, which is a one-dimensional labeled array that holds the data for that variable.

The following are some common operations that can be performed on DataFrame columns:

1. Accessing columns: You can access columns of a DataFrame using the column name as an index, or by using the dot notation.

2. Adding columns: You can add new columns to a DataFrame by specifying the name of the new column and the data to be added.

3. Renaming columns: You can rename the columns of a DataFrame using the rename() method.

4. Deleting columns: You can delete columns from a DataFrame using the drop() method.

5. Sorting columns: You can sort the columns of a DataFrame using the sort_values() method.

6. Applying functions to columns: You can apply functions to the columns of a DataFrame using the apply() method.

7. Filtering columns: You can filter columns of a DataFrame based on some condition using the loc[] method.