A Series object represents a one-dimensional, indexed series of data. It can be thought of as a dictionary, with one main difference: the indexes in a Series class are ordered. The following example constructs a Series object and displays it:

grades1 = Series([76, 82, 78, 100],
                 index = ['Alex', 'Robert', 'Minnie', 'Alice'],
                 name = 'Assignment 1', dtype=float64)
grades1

This produces the following output:

Alex       76
Robert     82
Minnie     78
Alice     100
Name: Assignment 1, dtype: float64

Notice the format of the constructor call:

Series(<data>, index=<indexes>, name=<name>, dtype=<type>)

Both data and indexes are usually lists or NumPy arrays, but can be any Python iterable. The lists must have the same length. The name variable is a string that describes the data in the series. The type variable is a NumPy data type. The indexes and the name variables are optional (if indexes are omitted, they are set to integers...