Lmst

#QuanTables

Do you have the need to import quantities from #CSV files in order to process them with #Python and you'd like to use #pandas and #pint for that purpose?

I run quite frequently into this situation and created an importer for it, which I just added to the #QuanTables repo:

🔗 https://codeberg.org/Cs137/QuanTables#csv-importer

#PySide6 #Qt #UnPaAc #codeberg #OpenSource

Screenshot of a Qt dialog displaying a group box with a line edit and a push button so select a file, a path is written in the line edit. Underneath there are two group boxes next to each other. The left one is titled "Parsing" and contains two combo boxes, one to select a delimiter and another one to select an encoding. The right group contains two check boxes labeled with "First row contains headers" and "Second row contains units". Underneath there's a table view showing some example data. The first two rows contain check boxes in each cell, which allow to choose a measure and a unit for the corresponding column. At the bottom there are three buttons: "Import Selection", "Import Table" and "Cancel".

I’ve just deposited some Python code in a public codeberg repo 🚀

The modules are designed to simplify GUI creation with PySide6 (Qt), specifically tailored for handling quantities (with uncertainties). Perfect for anyone working on scientific or engineering applications where precision matters.

🔗 https://codeberg.org/Cs137/QuanTables
Feel free to explore, fork, and contribute! 🛠️✨

#Python #PySide6 #Qt #pint #uncertainties #UnPaAc #OpenSource #codeberg #QuanTables

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