On Thu, 20 Dec 2007 16:20:08 -0800 (PST), B Clowers wrote: > I am fairly new to python and programming as a whole and would like to > develop a small application capable of plotting simple 2D graphs and also > display such data in a table. In my initial assessment of PyQt4 I have > been able to load my data into a table but it is terribly slow. I am > using a QAbstractTableModel example that I found on the web: > > http://iwiwdsmi.blogspot.com/2007/12/pyqt-43-qtableview-qabstracttable-model.html
The model looks OK to me. I don't think it's doing anything special that would cause it to be inefficient. > This has been useful but if I load a large numpy array (5 x 250,000) into > this example it is insanely slow. It seems as though there was a > "bigtable.py" example for PyQt3 but I cannot seem to port this to version > 4. The paradigms for "item views" are different in Qt 3 and Qt 4. I don't think a solution for PyQt3 will help you much. > The Qt website also discusses the use of large tables when programming > C++ but this is out of my league. Does anyone have a simple solution to > this problem or perhaps a quick example that I can insert a numpy array > into? Again, I'm pretty new to python but am eager to learn. It would be interesting if you could run a profiler on your code so that we can see where the bottlenecks are. I recommend using qPyProfiler for this: http://www.digitalfox.org/projets/qPyProfiler/ It will be interesting to see where most of the CPU time is being spent. David _______________________________________________ PyQt mailing list [email protected] http://www.riverbankcomputing.com/mailman/listinfo/pyqt
