Since I'd like to display a #pandas DataFrame containing Pint Uncertainty Series in a GUI using `QtTableView` widgets, I drafted a module that provides a suitable `QAbstractTableModel` derivation.

The output is customisable: `deconvolute` toggles the way #uncertainties are displayed, `significant_digits` should be self-explanatory, and the `unit_separator` is placed between the measure and the #unit in the header.

🔗 https://codeberg.org/Cs137/UnPaAc/issues/1

#pint #UnPaAc

Day 22 cont 📻💰💰💰🏡⚠️

This radio interview was in 2002, 23 years ago!

“As the interviewer, you see the switchboard at your radio station lighting up. Lots of your listeners want to talk to the prime minister. You take some callers, and one of them is named Phyllis.”

“Phyllis: I won't be as aggressive as to shake my fist at you, but I'll certainly shake my finger at you when you say that someone who owns their home has no problem, they're sitting on a nice little nest egg.

We're on a #pension and we would like to #sell our home, go into a #unit or a #townhouse or something.

But we can't do that because if we do, we're going to spend the whole amount just on a townhouse or a unit and we'll have nothing left over if we need to do anything to it. So we're stuck.

PM: Look Phyllis, what I said was that not everybody was sitting on a #NestEgg. I said people had not complained about the #value of their house going up.

Cont …