Thanks Carlos, Ill look into that.

On Wednesday, 31 January 2018 01:40:25 UTC-8, Carlos Pascual wrote:
>
> Hi Mike, 
>
> With this approach you are creating as many curve objects as segments, and 
> on 
> top of that you are doing a for loop on each point of your data so it is 
> reasonable to expect it to be very inefficient. 
>
> Have you considered deriving from pyqtgraph.PlotDataItem and reimplement 
> its 
> paint() method to pass a different QPainter depending on the segment being 
> painted? 
>
> Not sure if that would be the best (or simpler) approach, but it is what I 
> would first try... 
>
> Cheers, 
> Carlos 
>
>
>
>
> On Wednesday, January 31, 2018 12:37:40 AM CET Mike Oliver wrote: 
> > So I managed to get this working but its incredibly slow on large data 
> > sets.  Is there a better way to do this? 
> > 
> > from pyqtgraph.Qt import QtGui, QtCore 
> > import pyqtgraph as pg 
> > import numpy as np 
> > 
> > win = pg.GraphicsWindow() 
> > p1 = win.addPlot() 
> > values = [10,50,8,64,45,9,6,12,6,43,3,7,33,67,82,42,12,7,40,8] 
> > 
> > for i in range(len(values)-1): 
> >     if values[i]>values[i+1]: 
> >         p1.plot([i,i+1],values[i:i+2], pen=(255,0,0)) 
> >     else: 
> >         p1.plot([i,i+1],values[i:i+2], pen=(0,255,0)) 
> > 
> > if __name__ == '__main__': 
> >     import sys 
> >     if (sys.flags.interactive != 1) or not hasattr(QtCore, 
> 'PYQT_VERSION'): 
> >         QtGui.QApplication.instance().exec_() 
>
>
> -- 
> +----------------------------------------------------+ 
>  Carlos Pascual Izarra 
>  Scientific Software Coordinator 
>  Computing Division 
>  ALBA Synchrotron  [http://www.albasynchrotron.es] 
>  Carrer de la Llum 2-26 
>  E-08290 Cerdanyola del Valles (Barcelona), Spain 
>  E-mail: [email protected] <javascript:> 
>  Phone: +34 93 592 4428 
> +----------------------------------------------------+ 
>

-- 
You received this message because you are subscribed to the Google Groups 
"pyqtgraph" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/pyqtgraph/23e5fa74-3976-491d-9bfe-c5cd6e3c91bb%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.

Reply via email to