Taking care of business, one python script at a time
Posted by Chris Moffitt in articles
Most people likely have experience with pivot tables in Excel.
Pandas provides a similar function called (appropriately enough) pivot_table.
While it is exceedingly useful, I frequently find myself struggling to remember how to use the syntax
to format the output for my needs. This article will focus on explaining the pandas
pivot_table function and how to use it for your data analysis.
Posted by Chris Moffitt in articles
A very common tasks for python and pandas is to automate the process of aggregating data from multiple files and spreadsheets.
This article will walk through the basic flow required to parse multiple Excel files, combine the data, clean it up and analyze it. The combination of python + pandas can be extremely powerful for these activities and can be a very useful alternative to the manual processes or painful VBA scripts frequently used in business settings today.
Posted by Chris Moffitt in articles
I have been very excited by the response to the first post in this series. Thank you to all for the positive feedback. I want to keep the series going by highlighting some other tasks that you commonly execute in Excel and show how you can perform similar functions in pandas.
In the first article, I focused on common math tasks in Excel and their pandas counterparts. In this article, I’ll focus on some common selection and filtering tasks and illustrate how to do the same thing in pandas.
Posted by Chris Moffitt in articles
The purpose of this article is to show some common Excel tasks and how you would do them in pandas.
Posted by Chris Moffitt in articles
Pandas can be used to create a diff tool that compares two similar Excel spreadsheets.
We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
