Several classes for manipulating data are provided by pandas. Of those, we are interested in
Series and more interested in
Series is the primary building block of pandas and represents a one-dimensional labeled array based on the NumPy
Series extends the functionality of the NumPy
ndarray by adding an associated set of labels that are used to index the elements of the array. A
Series can hold zero or more instances of any single data type.
This labeled index adds significant power to access the elements of the
Series over a NumPy array. Instead of simply accessing elements by position, a
Series allows access to items through the associated index labels. ...