hmelino / quadranpy

Python script to process and visualise 'Sales Detailed' and 'Payment Data' in .cvs format from qsl.quadranet service.

QuadraNpy

QuadraNpy is module to process "Payment Data" and "Sales Detailed " .csv reports from qls.quadranet website and creates graph with searched items.

• Search for items sales in specified time period
• Plot a graph using matplotlib

Tech

QuadraNpy uses a number of open source projects to work properly:

• matplotlib - Python plotting package
• requests - Python HTTP for Humans

How to use

QuadraNpy requires 'PaymentData.csv' and 'SalesDetailed.csv' from same time period (month/week/year ...)

The newest version of QuadraNpy can automaticly detect type of report, so they can be bulk imported from folder, instead of importing them one by one.

 import QuadraNpy.main import Sales
 yearlyReport = Sales()
 yearlyReport.loadFolder('D:\Reports')
 yearlyReport.findTotal('Cappucino')