When we accessed the Jumanji movie using .loc and .iloc, the data structures returned to us were Pandas Series objects. You may have also noticed that we were accessing entire columns using df[column_name]. This, too, was a Pandas Series object:
type(small_df['year'])
OUTPUT:
pandas.core.series.Series
The Pandas Series is a one-dimensional labelled array capable of holding data of any type. You may think of it as a Python list on steroids. When we were using the .apply() and .astype() methods in the previous section, we were actually using them on these Series objects.
Therefore, like the DataFrame, the Series object comes with its own group of extremely useful methods that make data analysis a breeze.
First, let's check out the shortest- and longest-running movies of all time. We will do this by accessing the runtime column of the DataFrame as...