pyrosm
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HTenkanen
Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster.
As I've mentioned in other threads, in order to handle huge amounts of data, I'm breaking the network for my area of interest into 1.5 x 1.5 km windows. First...
Pyrosm parses quite a lot of attributes by default from the OSM data. Add possibility to optimize memory usage by keeping only the most necessary attributes in the results and...
Add vectorized graph simplification function that will be used when parsing graph network.
I was reading the documentation here: https://pyrosm.readthedocs.io/en/latest/benchmarking.html, and specifically the comment on memory usage > The most memory consuming part currently is constructing Shapely geometries into GeoDataFrame. There might be...
I also have a question related to this. In the OSM data there are walking areas (such as inside train stations and large sidewalks and public "squares" (of various shapes)....
Geopandas has a nice and clean way to document the API with separate pages to give an overview and then more detailed docs for given function/method, e.g: https://geopandas.readthedocs.io/en/latest/docs/reference/geodataframe.html Something similar...