Delete modules/neighbors.py

modules/neighbors.py

@@ -1,47 +0,0 @@
-import geopandas as gpd
-from shapely.geometry import Polygon
-
-# Sample DataFrame with geometries (use your own data)
-data = {'ID': [1, 2, 3],
-        'geometry': [Polygon([(0, 0), (0, 2), (2, 2), (2, 0)]),
-                    Polygon([(2, 0), (2, 2), (4, 2), (4, 0)]),
-                    Polygon([(4, 0), (4, 2), (6, 2), (6, 0)])]}
-gdf = gpd.GeoDataFrame(data, crs="EPSG:4326")
-
-# Create a new column to store the neighboring IDs
-gdf['neighbors'] = None
-
-# Iterate through the GeoDataFrame to find neighbors
-for index, row in gdf.iterrows():
-    neighbors = []
-    for other_index, other_row in gdf.iterrows():
-        if index != other_index and row['geometry'].touches(other_row['geometry']):
-            neighbors.append(other_row['ID'])
-    gdf.at[index, 'neighbors'] = neighbors
-
-# Display the DataFrame with neighbors
-print(gdf[['ID', 'neighbors']])
-
-
-
-def find_neighbors(geom_df):
-    geom_df['neighbors'] = geom_df.apply(lambda row: find_single_neighbors(row, geom_df), axis=1)
-    return geom_df
-
-def find_single_neighbors(row, geom_df):
-    neighbors = []
-    for other_index, other_row in geom_df.iterrows():
-        if row.name != other_index and row['geometry'].touches(other_row['geometry']):
-            neighbors.append(other_row['ID'])
-    return neighbors
-
-# Example usage:
-# Replace 'your_data.geojson' with the path to your GeoJSON file or any other supported format
-# Make sure the GeoDataFrame has a 'geometry' column
-your_gdf = gpd.read_file('your_data.geojson')
-
-# Call the function to find neighbors
-result_gdf = find_neighbors(your_gdf)
-
-# Print the resulting GeoDataFrame
-print(result_gdf)