So you can use a 2.5D renderer, then change to eg categorized or graduated, and the stack of geometry generators (shadow, walls, roof) remains in place. I have to detect these latter types of renderers in Python. I do so by looking for that signature stack of symbol layers. This works.
However, I loop through every feature in a layer when doing this check, my vague thought being that some features might have different symbology, but that others might still be derived from 2.5D. The problem I have is that this slows things down to a crawl, with multiple layers and many features. Therefore: 1. Is it overkill to loop through all features - should I just check the first feature in each layer? 2. Does anyone have a more efficient way of detecting these "derived from 2.5D" renderers? Thanks Tom -- View this message in context: http://osgeo-org.1560.x6.nabble.com/How-to-detect-a-categorized-graduated-2-5D-layer-in-Python-tp5275092.html Sent from the Quantum GIS - Developer mailing list archive at Nabble.com. _______________________________________________ Qgis-developer mailing list Qgis-developer@lists.osgeo.org List info: http://lists.osgeo.org/mailman/listinfo/qgis-developer Unsubscribe: http://lists.osgeo.org/mailman/listinfo/qgis-developer
