I\'m plotting about 10,000 items in an array. They are of around 1,000 unique values.
The plotting has been running half an hour now. I made sure rest of the code wo
For me it took calling figure.canvas.draw()
after the call to hist to update immediately, i.e. hist was actually fast (discovered that after timing it), but there was a delay of a few seconds before figure was updated. I was calling hist inside a matplotlib callback in a jupyter lab cell (qt5 backend).
Anyone running into the issue I had - (which is totally my bad :) )
If you're dealing with numbers, make sure when reading from CSV that your datatype is int/float, and not string.
values_arr = .... .flatten().astype('float')