© Robert Johansson 2015
Robert JohanssonNumerical Pythonhttps://doi.org/10.1007/978-1-4842-0553-2_12

12. Data Processing and Analysis

Robert Johansson
(1)
Chiba, Chiba, Japan
 
Keywords
Time SeriesData FrameOutdoor TemperatureSeries ObjectTime String
In the last several chapters we have covered the main topics of traditional scientific computing. These topics provide a foundation for most computational work. Starting with this chapter, we move on to explore data processing and analysis, statistics, and statistical modeling. As a first step in this direction, we look at the data analysis library pandas. This library provides convenient data structures for representing series and tables of data, and makes it easy to transform, split, merge, and convert ...

Get Numerical Python : A Practical Techniques Approach for Industry now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.