The DataFrame class is used to represent two-dimensional data. To illustrate its use, let's create a DataFrame class containing student data as follows:

grades = DataFrame(
    [['Alice',  80., 92., 84,],
     ['Bob',    78., NaN, 86,],
     ['Samaly', 75., 78., 88.]],
    index = [17005, 17035, 17028],
    columns = ['Name', 'Test 1', 'Test 2', 'Final']
    )

This code demonstrates one of the most straightforward ways to construct a DataFrame class. In the preceding case, the data can be specified as any two-dimensional Python data structure, such as a list of lists (as shown in the example) or a NumPy array. The index option sets the row names, which are integers representing student IDs here. Likewise, the columns option sets the column names. Both the index and column arguments can be given as any one-dimensional Python structure, such as lists, NumPy arrays, or a Series object.

To display the output of the DataFrame class, run the following statement in a cell:

grades...