I agree that (Py)QtChart is the way to go. Recently I did some proof of concepts starting from this simple example: https://github.com/PierreRaybaut/plotpy/wiki/Using-Qt-Charts-(PyQtChart)-to-plot-curves-efficiently-in-Python !
giovanni Il 9 mag 2017 12:52, "Richard Duivenvoorde" <[email protected]> ha scritto: > On 09-05-17 12:44, Martin Dobias wrote: > > Hi Richard > > > > On Mon, May 8, 2017 at 10:47 PM, Richard Duivenvoorde > > <[email protected]> wrote: > >> > >> Do 'we' (as the community) have a stand in this? > >> Is one option more future proof (for QGIS) then others? > > > > Aprart from the libraries mentioned above, I believe for a future > > proof code (QGIS >= 3) the choice should be the Qt Charts library. It > > used to be distributed separately under commercial license, but since > > Qt 5.8 (IIRC) it is included in standard Qt5 distribution with open > > source license. This library has the advantage of being native to the > > Qt ecosystem and it seems to be quite powerful as well. > > > Thanks all for the libs and tips :-) > > @Martin: I will have a look at Qt-graph, I think it is best to keep > close to our core libs. But not sure if it will soon be available in > repo's/distro's including the python bindings. > > Besides this I'm doing this as part of a larger QGIS 2.x plugin, so will > eventually probably have to use both ways. > > Regards, > > Richard Duivenvoorde > > _______________________________________________ > QGIS-Developer mailing list > [email protected] > List info: https://lists.osgeo.org/mailman/listinfo/qgis-developer > Unsubscribe: https://lists.osgeo.org/mailman/listinfo/qgis-developer
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