I seek help on:
- Finding possible errors on projections management
- Guiding me on which should be the best way to know which "labels - colors" are within the path line (not exposed here)
Source 1: Geopandas imported from ArcMap in .shp format - It contains all shapes (4k) and is used as the basic map. It's very populated in terms of ArcMap columns and attributes
Source 2: Geopandas imported from KML coordinates in .csv format - It's a ROV path in UTM 31N zone.
Import and plot KML path in GeoPandas. Done!
Make them work in the same CRS
# print(gdf.crs) == > epsg:32631 # Source 2 is directly readed from CSV. Need to assign geocode. # For a non GIS guy, makes sense to apply || epsg: 32631 or 25831 # print(track.crs) == > 32633 Value determined automatically. As the input for source 2 is just KML coordinates track = track.to_crs(gdf.crs) print(gdf.crs) # After conversion, both are the same: epsg:32631 print(track.crs) # Follow the convention of plotting both geoPandas by sharing an axes fig, axes = plt.subplots(figsize=(15,15)) gdf.plot(ax=axes, color=gdf['Color']) track.plot(ax=axes)
Can you see the miniature of SOURCE 1?
I assume this point is my KML path:
What I expected
(picture from ArcMap):