I have a geodataframe with 5868 rows that have some columns/attributes, including geometry. I have filtered the geodataframe using the geometry attribute with some conditions, but the result is just the geoseries with 5321 rows (reduced from the original data) of geometry attributes. How to merge the geoseries in order to create geodataframe with row size after filtering (5321 rows).
ships = gpd.read_file(r"D:\Suhendra\Riset BARATA\data ais\lego_python\kepri_201812_ship.shp") #'ships' 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]) < d: point_nodes[j] = None new_point_nodes = gpd.GeoSeries([node for node in point_nodes if node is not None]) #'new_point_nodes' is just geoseries with geometry infomation
I want to merge the 'new_point_nodes' geoseries to 'ships' geodataframe with row size after filtering with above condition