This article is the continuation of my previous article. Here, we will be discussing another datatype, Dataframes.
Dataframes are going to be the main tool that developers use when working with pandas.
A Brief Overview of Pandas DataFrames
Tutorial on Data Analysis With Python and Pivot Tables With Pandas
One of the first posts on my blog was about Pivot tables. I’d created a library to pivot tables in my PHP scripts. The library is not very beautiful (it throws a lot of warnings), but it works. These days I’m playing with Python Data Analysis and I’m using Pandas. The purpose of this post is something that I like a lot: learn by doing. So I want to do the same operations that I did eight years ago in the post but now with Pandas. Let’s start.
I’ll start with the same data source that I used almost ten years ago. One simple set of records, with clicks and number of users