AEPSchmitt / booktracker

Simple python plotly visualisation of the books I read

Booktracker

34da214e272fe310938f211959db41ab.mp4

Keep track of the books you read using Google Sheets.

Export the sheet as bookstats.csv and feed that to booktracker.py for some interactive stats about your reading history.

Requirements

0. Python libraries: Plotly, Pillow, pandas
1. A CSV file named bookstats.csv with the following format:

Title	Series	Author	Author Gender	Pages	Release year	Start date	Finish date	Pages accumulated	Avg. Pages per day	Bechdel	Formatted start date
string	string	string	F/M	int	int	YYYY-MM-DD	YYYY-MM-DD	int	int	Y/N	Month DD, YYYY

( get sheet copy )

2. Cover images for each book as .png files, placed in the /covers/ folder. Covers have to be named exactly the same as the book title, but without capital letters and with spaces replaced by underscores). Like this:

Example

A live example can be found here