Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Pandas 1.x Cookbook

You're reading from   Pandas 1.x Cookbook Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python

Arrow left icon
Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781839213106
Length 626 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
Matthew Harrison Matthew Harrison
Author Profile Icon Matthew Harrison
Matthew Harrison
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Pandas Foundations 2. Essential DataFrame Operations FREE CHAPTER 3. Creating and Persisting DataFrames 4. Beginning Data Analysis 5. Exploratory Data Analysis 6. Selecting Subsets of Data 7. Filtering Rows 8. Index Alignment 9. Grouping for Aggregation, Filtration, and Transformation 10. Restructuring Data into a Tidy Form 11. Combining Pandas Objects 12. Time Series Analysis 13. Visualization with Matplotlib, Pandas, and Seaborn 14. Debugging and Testing Pandas 15. Other Books You May Enjoy
16. Index

Using Excel files

While CSV files are common, it seems that the world is ruled by Excel. I've been surprised in my consulting work to see how many companies are using Excel as a critical if not the critical tool for making decisions.

In this recipe, we will show how to create and read Excel files. You may need to install xlwt or openpyxl to write XLS or XLSX files, respectively.

How to do it...

  1. Create an Excel file using the .to_excel method. You can write either xls files or xlsx files:
    >>> beatles.to_excel("beat.xls")
    >>> beatles.to_excel("beat.xlsx")
    
    Excel file

    Excel file

  2. Read the Excel file with the read_excel function:
    >>> beat2 = pd.read_excel("/tmp/beat.xls")
    >>> beat2
       Unnamed: 0    first       last  birth
    0           0     Paul  McCartney   1942
    1           1     John     Lennon   1940
    2           2  Richard    Starkey   1940
    3           3 ...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime