I have 5868 points in a geodataframe with some columns/attributes. Between points which have distance less than 10 m, I just want to select only one point as representation in that area. I have done using the following code:
ships = gpd.read_file(r"D:\Suhendra\Riset BARATA\data ais\lego_python\kepri_201812_ship.shp") #'ships' have 5868 data/rows. It is geodataframe with some columns #remove the 'ships' geometry that have less than 10 m distance each other point_nodes = list(ships['geometry']) for i in range(len(point_nodes) - 1): if point_nodes[i] is None: continue for j in range(i + 1, len(point_nodes)): if point_nodes[j] is None: continue if point_nodes[i].distance(point_nodes[j]) < 10: #in meter point_nodes[j] = None new_point_nodes = gpd.GeoSeries([node for node in point_nodes if node is not None]) #'new_point_nodes' have 5321 data, it is just geoseries with geometry information
The result is 5321 points (reduced than the original data), but it is just geoseries not geodataframe like the original data. How to do the following condition in order to get the result like the original data?