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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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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Overview of Data Analysis and pandas FREE CHAPTER
2. Introduction to pandas and Data Analysis 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

Excel

Excel files are similar to CSV files but are different in the sense that they can have multiple sheets, formatted data and tables, charts, and formulas. In many cases, reading data from Excel files is required.

xlrd is the package of choice while working with Excel sheets. Some of the major functionalities of the xlrd package are summarized in the following table:

Code snippet

Goal achieved

import xlrd

Importing the xlrd library

book=xlrd.open_workbook('SRS Career.xlsx')

Reading the Excel workbook

n=book.nsheets

Finding the number of sheets in a workbook

book.sheet_names()

Finding the names of sheets in a workbook

last_sheet=book.sheet_by_index(n-1)

Reading the sheets by sheet index

last_sheet.row_values(0)

Getting the first row of a sheet

last_sheet.cell(0,0)

Getting the first cell of the sheet

last_sheet.row_slice...

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