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Mastering pandas

You're reading from   Mastering pandas A complete guide to pandas, from installation to advanced data analysis techniques

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781789343236
Length 674 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Ashish Kumar Ashish Kumar
Author Profile Icon Ashish Kumar
Ashish Kumar
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Overview of Data Analysis and pandas
2. Introduction to pandas and Data Analysis FREE CHAPTER 3. Installation of pandas and Supporting Software 4. Section 2: Data Structures and I/O in pandas
5. Using NumPy and Data Structures with pandas 6. I/Os of Different Data Formats with pandas 7. Section 3: Mastering Different Data Operations in pandas
8. Indexing and Selecting in pandas 9. Grouping, Merging, and Reshaping Data in pandas 10. Special Data Operations in pandas 11. Time Series and Plotting Using Matplotlib 12. Section 4: Going a Step Beyond with pandas
13. Making Powerful Reports In Jupyter Using pandas 14. A Tour of Statistics with pandas and NumPy 15. A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates 16. Data Case Studies Using pandas 17. The pandas Library Architecture 18. pandas Compared with Other Tools 19. A Brief Tour of Machine Learning 20. Other Books You May Enjoy

Pivots and reshaping data

This section deals with how you can reshape data. Sometimes, data is stored in what is known as a stacked format. Here is an example of stacked data using the PlantGrowth dataset:

    In [344]: plantGrowthRawDF=pd.read_csv('./PlantGrowth.csv')
           plantGrowthRawDF
    Out[344]:   observation   weight  group
            0   1      4.17  ctrl
            1   2      5.58  ctrl
            2   3      5.18  ctrl
            ...
            10       1        4.81    trt1
            11       2        4.17    trt1
            12       3        4.41    trt1
           ... 
            20       1        6.31    trt2
            21       2        5.12    trt2
            22       3        5.54    trt2
  

This data consists of results from an experiment that compared the dried weight yields of plants that were obtained under a control (ctrl...

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