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Learning pandas - Second Edition by Michael Heydt

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Accessing data within a DataFrame

A data frame consists of both rows and columns, and has constructs to select data from specific rows and columns. These selections use the same operators as a Series, including [], .loc[], and .iloc[].

Because of the multiple dimensions, the process by which these are applied differs slightly. We will examine these by first learning to select columns, then rows, a combination of rows and columns in a single statement, and also by using Boolean selections.

Additionally, pandas provides a construct for selecting a single scalar value at a specific row and column that we will investigate. This technique is important and exists because it is a very high-performance means of accessing these values.

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