Shannon diversity

import pandas as pd
import geopandas as gpd

blocks_gdf =  pd.read_pickle('./../../data/saint_petersburg/blocks.pickle')

from blocksnet.analysis.diversity import shannon_diversity

diversity_df = shannon_diversity(blocks_gdf)
diversity_df.head()

2025-09-19 17:19:59.971 | INFO     | blocksnet.analysis.diversity.shannon.core:shannon_diversity:23 - Calculating Shannon diversity index
100%|██████████| 9533/9533 [00:05<00:00, 1885.73it/s]

	count_school	count_kindergarten	count_hospital	count_polyclinic	count_pitch	count_swimming_pool	count_theatre	count_museum	count_cinema	count_mall	...	count_bus_stop	count_pier	count_animal_shelter	count_prison	count_landfill	count_plant_nursery	count_greenhouse_complex	count_warehouse	count	shannon_diversity
0	0	0	0	0	0	0	0	0	0	0	...	0	0	0	0	0	0	0	0	0	0.000000
1	0	0	0	0	0	0	0	0	0	0	...	0	0	0	0	0	0	0	0	2	0.693147
2	0	0	0	0	0	0	0	0	0	0	...	0	0	0	0	0	0	0	0	0	0.000000
3	0	0	0	0	0	0	0	0	0	0	...	0	0	0	0	0	0	0	0	0	0.000000
4	1	0	0	0	2	0	0	0	0	0	...	0	0	0	0	0	1	0	0	4	1.039721

5 rows × 62 columns

blocks_gdf[['geometry']].join(diversity_df).plot('shannon_diversity', legend=True, figsize=(10,8)).set_axis_off()