This project aims to provide tools for parsing and visualising expenses data.
By now it offers a group of functions allowing aggregation and visualisation data by month or by year.
However there's no GUI yet, it's possible to utilize scripts anyway.
Python3, matplotlib, numpy
Clone the project and launch run.py
Passing two arguments: the first one is a year, the second one is a month
(its number) will result in a pie chart with monthly expenses.
If skip passing a month number, result will be a yearly report.
Long story short,
python3 run.py 2020 3 will result in:
python3 run.py 2020 will result in:
Use your own data (following naming conventions demonstrated in the provided csv) and try for yourself.