Foundational Python for Data Science

9

Pandas

To clarify, *add* data.

Edward R. Tufte

In This Chapter

• Introduction to Pandas DataFrames

• Creating DataFrames

• DataFrame introspection

• Accessing data

• Manipulating DataFrames

• Manipulating DataFrame data

The Pandas DataFrame, which is built on top of the NumPy array, is probably the most commonly used data structure. DataFrames are like supercharged spreadsheets in code. They are one of the primary tools used in data science. This chapter looks at creating DataFrames, manipulating DataFrames, accessing data in DataFrames, and manipulating that data.

About DataFrames

A Pandas DataFrame, like a spreadsheet, is made up of columns and rows. Each column is a pandas.Series object. A DataFrame is, in some ways, similar to a two-dimensional ...