© Valentina Porcu 2018
Valentina PorcuPython for Data Mining Quick Syntax Referencehttps://doi.org/10.1007/978-1-4842-4113-4_8

8. pandas

Valentina Porcu1 
(1)
Nuoro, Italy
 

In Chapter 7, we learned how to import a generic file using basic functions. Here we explore pandas—one of the most important libraries for dataset management.

Libraries for Data Mining

From this point onward, including the following chapters, we examine the most important and most used data mining libraries:
  • pandas: imports, manages, and manipulates data frames in various formats, extracts part of the data, combines two data frames, and also contains some basic statistical functions

  • NumPy: a package for scientific computing, contains several high-level mathematical and algebraic functions, ...

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