TomAugspurger
commented
11 months ago I don’t think that will be parallel. dask-geopandas, like dask.dataframe, parallelizes along the index so it well suited for long and not too wide data frames.
You might be able to use dask.delayed or dask.bag on a sequence of regular geopandas.GeoSeries to do your unary unions in parallel.
On Oct 5, 2023, at 3:50 PM, Kurt Rhee @.***> wrote:
Hello,
Thank you for your awesome project. I have a question where I have around 10,000 separate geoseries containing polygons. For each of these geoseries I would like to perform a separate unary_union so that at the end I have 10,000 polygons one for each geoseries.
For example: if geoseries_0 has three polygons A, B, C, and geoseries_1 has polygons D, E... I would like to return the unary union of ABC and the unary union of DE.
Is it possible to do this in a parallel fashion? or is the parallelism only within a geoseries.
Thank you!
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kurt-rhee
Hello,
Thank you for your awesome project. I have a question where I have around 10,000 separate geoseries containing polygons. For each of these geoseries I would like to perform a separate unary_union so that at the end I have 10,000 polygons one for each geoseries.
For example: if geoseries_0 has three polygons A, B, C, and geoseries_1 has polygons D, E... I would like to return the unary union of ABC and the unary union of DE.
Is it possible to do this in a parallel fashion? or is the parallelism only within a geoseries.
Thank you!