1 Series
If you have any experience with pandas, you know that we typically work with data in two-dimensional tables known as data frames, with rows and columns. But each column in a data frame is built from a series, a one-dimensional data structure (figure 1.1), which means you can think of a data frame as a collection of series.
Figure 1.1 Each of a data frame’s columns is a series.
This perspective is particularly useful once you learn what methods are available on a series, because most of those methods are also available on data frames—but instead of getting a single result, we get one result for each column in the data frame. For example, ...
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