Revisions to Dropping nearly-identical point locations with GeoPandas

better formatting

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You could just create new columns based on your point geometry, round it, and then use drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x, 5)
gdf["y"] = round(gdf.geometry.y, 5)

gdf.drop_duplicates(["location_name", "equipment", "x", "y"])

You could just create new columns based on your point geometry, round it, and then use drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x, 5)
gdf["y"] = round(gdf.geometry.y, 5)

gdf.drop_duplicates(["location_name", "equipment", "x", "y"])

You could just create new columns based on your point geometry, round it, and then use drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x, 5)
gdf["y"] = round(gdf.geometry.y, 5)

gdf.drop_duplicates(["location_name", "equipment", "x", "y"])

added 120 characters in body

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edited Feb 17 at 12:08

You could just create new columns based on your point geometry, round it, and then use drop_duplicates()drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x,5)
gdf["y"] = round(gdf.geometry.y,5)

gdf.drop_duplicates(["location_name","equipment","x","y"])

gdf["x"] = round(gdf.geometry.x, 5)
gdf["y"] = round(gdf.geometry.y, 5)

gdf.drop_duplicates(["location_name", "equipment", "x", "y"])

You could just create new columns based on your point geometry, round it, and then use drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x,5)
gdf["y"] = round(gdf.geometry.y,5)

gdf.drop_duplicates(["location_name","equipment","x","y"])

You could just create new columns based on your point geometry, round it, and then use drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x, 5)
gdf["y"] = round(gdf.geometry.y, 5)

gdf.drop_duplicates(["location_name", "equipment", "x", "y"])

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created Feb 17 at 7:00

You could just create new columns based on your point geometry, round it, and then use drop_duplicates(), e.g.:

gdf["x"] = round(gdf.geometry.x,5)
gdf["y"] = round(gdf.geometry.y,5)

gdf.drop_duplicates(["location_name","equipment","x","y"])

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