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Advanced Pandas

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Advanced Pandas
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43
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production PlaceErlangen, Germany

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Abstract
Pandas is nowadays the library of choice for manipulating and analysing structured data, providing high-performance, easy-to-use data structures and data analysis tools. In this hands-on tutorial on using pandas for data analysis, you will be guided through some of the powerful methods and concepts in pandas, including time series manipulation (resampling and rolling operations), groupby operations, reshaping with stack/unstack/pivot, … Basic familiarity with pandas data structures (Series/DataFrame) is assumed.