I have a
DataFrame that resulted from spatially joining a digital elevation map with a square grid map.
This unexpectedly resulted in duplicate rows where two rows will have the same
"geometry" but a different
How do I get the median of
"Elevation" for each unique
"geometry"? I'm new to GeoPandas, so I tried the traditional methods of aggregating a
DataFrame, but found that
"geometry" cannot be operated with the
I have also tried using the
dissolve() function, but I don't think I'm doing it correctly because the number of rows were reduced to just seventy (70) as opposed to the original two thousand (2000) before the spatial join.
"geometry"and the median of all its
"Elevation"associated with said