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Python Lab Pandas - III

Python Lab Pandas - III. Proteomics Informatics, Spring 2014 Week 11 11 th Apr, 2014 Himanshu.Grover@nyumc.org. Data Aggregation, Transformations & Other Manipulations. Part of most dat a analysis workflows Categorize data into groups, according to keys

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Python Lab Pandas - III

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  1. Python LabPandas - III Proteomics Informatics, Spring 2014 Week 11 11thApr, 2014 Himanshu.Grover@nyumc.org

  2. Data Aggregation, Transformations & Other Manipulations • Part of most data analysis workflows • Categorize data into groups, according to keys • Apply an operation to each group. For ex. • within group means/StDev etc. • within group normalizations, or other transformations etc. • Group-wise modeling (regression etc.)

  3. Pandas’ “groupby” Mechanics:Split-Apply-Combine • Split Pandas objects into pieces (groupby) • Apply: • Compute group statistics • Apply functions group-wise to columns (aggregate, transform) • Other, more generic manipulations (apply) From “Python for Data Analysis”, Chapter 9

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