How is a Pandas series different from a dataframe?
In Pandas a series is a one-dimensional object that contains any type of data, similar in ways to a Numpy array.
Series objects have a single axis label, like a column title, which is the index of the series. A series is essentially a single column.
# Creating a series clinic_east = pd.Series([100, 51, 81, 80, 51, 112])
A dataframe is a two-dimensional object that can hold multiple columns of different types of data. They are similar to a table in SQL.
A single column of a dataframe is a series, and a dataframe is a container of two or more series objects.
# Creating a DataFrame df = pd.DataFrame ([ ['January', 100, 100], ['February', 51, 45], ['March', 81, 96]], columns=["month", "clinic_east", "clinic_north"] )