Not really clear what kind of data structures you actually have. Also, all your expected results are False, so that’s kind of hard to check. Assuming GeoSeries and GeoDataFrames, I would do this: from shapely.geometry import Point, Polygon import geopandas polys = geopandas.GeoSeries({ ‘foo’: Polygon([(5, 5), (5, 13), (13, 13), (13, 5)]), ‘bar’: Polygon([(10, 10), … Read more
Thanks to the conda-forge community, geopandas is actually pretty easy to install on all platforms using the conda package manager (or: its dependencies, as this is the difficulty). If you have conda, it is just: conda install -c conda-forge geopandas To install conda, you can install the Anaconda python distribution or miniconda: http://conda.pydata.org/docs/download.html See the … Read more
I found a way to accomplish this by joining the two data frames using a spatial join joinDF=gpd.sjoin(pointsDF, polysgdf, how=’left’,op=”within”)
Probably the main reason why to_sql needs a SQLAlchemy Connectable (Engine or Connection) object is that to_sql needs to be able to create the database table if it does not exist or if it needs to be replaced. Early versions of pandas worked exclusively with DBAPI connections, but I suspect that when they were adding … Read more
pip install wheel pip install pipwin pipwin install numpy pipwin install pandas pipwin install shapely pipwin install gdal pipwin install fiona pipwin install pyproj pipwin install six pipwin install rtree pipwin install geopandas here are the source links: http://geopandas.org/install.html#installation https://pip.pypa.io/en/latest/user_guide/#installing-from-wheels https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy If you still have problems, consider uninstalling the above (pip uninstall) and reinstalling.