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Jul 13, 2020 at 16:27 vote accept DGIS
Jul 13, 2020 at 16:18 comment added DGIS Thanks, I will look into it. Your first suggestion works fine and I think its fast enough actually. I'll still check the QgsRectangle option though.
Jul 13, 2020 at 16:17 vote accept DGIS
Jul 13, 2020 at 16:26
Jul 13, 2020 at 14:57 comment added Germán Carrillo Well, you could also read each file, parse its coordinates (or perhaps just use the numpy method you mentioned), then make sure you create a proper extent (QgsRectangle) for your csv points, and finally check the intersection. In fact, you could also test the intersection against the BBOX of your polygon to make things a bit faster (that could be done even without a csv BBOX, just dealing with numbers). How to build a QgsRectangle is described here, if that's what you were looking for initially.
Jul 13, 2020 at 14:32 comment added DGIS Thanks for the advice, I will try that. However, do we know anything about the time cost it takes to convert text to QgsVectorLayer objects? I was hoping to keep the text format to keep computation time as low as possible.
Jul 13, 2020 at 13:54 history answered Germán Carrillo CC BY-SA 4.0