July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Database-style operations on DataFrames
DataFrame objects are analogous to tables in a database: each has a name we refer to it by, is composed of rows, and contains columns of specific data types. Consequently, pandas provides the ability to carry out database-style operations on them. Traditionally, databases support a minimum of four operations, called CRUD:
- Create
- Read
- Update
- Delete
A database query language—most commonly SQL (pronounced sequel or S-Q-L), which stands for Structured Query Language—is used to ask the database to perform these operations. Knowledge of SQL is not required for this book; however, we will look at the SQL equivalent for the pandas operations that are discussed in this section since it may aid the understanding ...
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