© Randy Betancourt, Sarah Chen 2019
R. Betancourt, S. ChenPython for SAS Usershttps://doi.org/10.1007/978-1-4842-5001-3_3

3. pandas Library

Randy Betancourt1  and Sarah Chen2
(1)
Chadds Ford, PA, USA
(2)
Livingston, NJ, USA
 

In this chapter we introduce a new library called pandas which in turn offers the DataFrame data structure. The pandas library evolved from the use of arrays in Python’s NumPy package used in mathematical and scientific computing applications. The pandas library opens a new world of possibilities for data analysis. The main structure from the pandas library is the Series and DataFrame offering a structure to organize dissimilar types of data (strings, integers, and floats) into a single data structure and has the ability to easily ...

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