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.