This is the second article in a series describing how to use Google Forms to collect information via simple web forms, read it into a pandas dataframe and analyze it. This article will focus on how to use the data in the dataframe to create complex and powerful data visualizations with seaborn.
Google Forms is a service that allows you to collect information via simple web forms. One of the useful features is that the forms will automatically save your data to a Google Sheet. This article will walk through how to create a form, authenticate using OAuth 2 and read all the responses into a pandas dataframe. Because the initial setup and authentication process is a little time consuming, this article will be the first in a two part series.
In case you missed it, github recently announced that Jupyter notebooks will be natively rendered by github. This useful new feature will make it easier for followers of pbpython to view notebooks through github as well as download them to your local system and follow along.
I have moved over 4 notebooks to github and set up the associated files so that it should be pretty straightforward for anyone to checkout the pbpython repo and work with the notebooks. This will also make it easier for others to follow along and help spot issues and make this collection of tips and tricks even more robust.
This post also contains a couple of helpful links I wanted to pass on and keep record of because I think they are really useful.
Pandas makes it very easy to output a DataFrame to Excel. However, there are limited
options for customizing the output and using Excel’s features to make your output
as useful as it could be. Fortunately, it is easy to use the excellent XlsxWriter
module to customize and enhance the Excel workbooks created by Panda’s
function. This article will describe how to use XlsxWriter and Pandas to make complex,
visually appealing and useful Excel workbooks. As an added bonus, the article will briefly
discuss the use of the new
assign function that has been introduced in pandas 0.16.0.