Services count

Basic count module used mostly in other modules due to its ability to validate count_ columns and ignore _buildings columns.

import pandas as pd

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

from blocksnet.analysis.services import services_count

count_df = services_count(blocks_gdf)
count_df.head()

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

5 rows × 61 columns

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