Automating Excel with Python
Automating Excel with Python
Processing Spreadsheets with OpenPyXL
About the Book
Python is a versatile programming language. You can use Python to read, write and edit Microsoft Excel documents. There are several different Python packages you can use, but this book will focus on OpenPyXL.
The OpenPyXL package allows you to work with Excel files on Windows, Mac and Linux, even if Excel isn't installed.
In this book, you will learn about the following:
- Opening and Saving Workbooks
- Reading Cells and Sheets
- Creating a Spreadsheet (adding / deleting rows and sheets, merging cells, folding, freeze panes)
- Cell Styling (font, alignment, side, border, images)
- Conditional Formatting
- Charts
- Comments
- Print Settings
- and more!
Python is a great language that you can use to enhance your daily work, whether you are an experienced developer or a beginner!
About the Author
Table of Contents
-
About the Technical Reviewer
- Ethan Furman
- Acknowledgments
-
Introduction
- Who is this book for?
- About the Author
- Conventions
- Book Source Code
- Reader Feedback
- Errata
- Cover Art
-
Chapter 1 - Setting Up Your Machine
- Dependencies
- Installing OpenPyXL with pip
- Installing OpenPyXL with conda
- Using OpenPyXL in a Python Virtual Environment
- Wrapping Up
-
Chapter 2 - Reading Spreadsheets with OpenPyXL
- Open a Spreadsheet
- Read Specific Cells
- Read Cells From Specific Row
- Read Cells From Specific Column
- Read Cells from Multiple Rows or Columns
- Read Cells from a Range
- Read All Cells in All Sheets
- Wrapping Up
-
Chapter 3 - Creating a Spreadsheet with OpenPyXL
- Creating a Spreadsheet
- Writing to a Spreadsheet
- Adding and Removing Sheets
- Inserting and Deleting Rows and Columns
- Editing Cell Data
- Creating Merged Cells
- Folding Rows and Columns
- Freezing Panes
- Wrapping Up
-
Chapter 4 - Styling Cells
- Working with Fonts
- Setting the Alignment
- Adding a Border
- Changing the Cell Background Color
- Inserting Images into Cells
- Styling Merged Cells
- Using a Built-in Style
- Creating a Custom Named Style
- Wrapping Up
-
Chapter 5 - Conditional Formatting
- Builtin Formats
-
Working with
ColorScales -
Adding
IconSets -
Creating a
DataBar -
Using
DifferentialStyles - Wrapping Up
-
Chapter 6 - Creating Charts
- Making Your First Chart
- Adding Titles to the Chart
- Changing Axis Orientation
- Modifying Chart Layout
- Changing the Chart Size
- Using Styles
- Creating Chartsheets
- Wrapping Up
-
Chapter 7 - Chart Types
- Area Charts
- Bar Charts
- Bubble Charts
- Line Charts
- Scatter Charts
- Pie Charts
- Doughnut Charts
- Radar Charts
- Surface Charts
- Wrapping Up
-
Chapter 8 - Converting CSV to Excel
- Converting a CSV file to Excel
- Converting an Excel Spreadsheet to CSV
- Wrapping Up
-
Chapter 9 - Using Pandas with Excel
- Install Pandas and Dependencies
- Read Excel Spreadsheets
- Read Multiple Excel Worksheets
- Write DataFrames to Excel
- Convert CSV to Excel with Pandas
- Wrapping Up
-
Chapter 10 - Python and Google Sheets
- Install gspread
- Create Credentials with Google
- Create a New Google Sheet
- Read Google Sheets
- Update Google Sheets
- Delete Google Sheets
- Wrapping Up
-
Chapter 11 - XlsxWriter
- Installation
- Creating an Excel Spreadsheet
- Formatting Cells
- Adding a Chart
- Creating Sparklines
- Data Validation
- Wrapping Up
-
Appendix A - Cell Comments
- Adding Comments with Excel
- Adding Comments to Cells with OpenPyXL
- Loading Comments from a Workbook
- Wrapping Up
-
Appendix B - Print Settings Basics
- Centering Your Data
- Adding Headers
- Adding Print Titles
- Specifying a Print Area
- Wrapping Up
-
Appendix C - Formulas
- The Parts of an Excel Formula
- Adding a Formula in Excel
- Adding a Formula with OpenPyXL
- Wrapping Up
- Afterword
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