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"""
Cannabis Licenses | License Mao
Copyright (c) 2022-2023 Cannlytics
Authors:
Keegan Skeate <https://github.com/keeganskeate>
Candace O'Sullivan-Sutherland <https://github.com/candy-o>
Created: 9/22/2022
Updated: 9/19/2023
License: <https://github.com/cannlytics/cannabis-data-science/blob/main/LICENSE>
Description:
Map the adult-use cannabis retailers permitted in the United States:
✓ Alaska
✓ Arizona
✓ California
✓ Colorado
✓ Connecticut
✓ Delaware
✓ Illinois
✓ Maine
✓ Massachusetts
✓ Michigan
✓ Missouri
✓ Montana
✓ Nevada
✓ New Jersey
X New York (Under development)
✓ New Mexico
✓ Oregon
✓ Rhode Island
✓ Vermont
X Virginia (Expected 2024)
✓ Washington
"""
# External imports.
import folium
import pandas as pd
def create_retailer_map(
df,
color='crimson',
filename=None,
lat='premise_latitude',
long='premise_longitude',
):
"""Create a map of licensed retailers."""
m = folium.Map(
location=[39.8283, -98.5795],
zoom_start=3,
control_scale=True,
)
for _, row in df.iterrows():
folium.Circle(
radius=5,
location=[row[lat], row[long]],
color=color,
).add_to(m)
if filename:
m.save(filename)
return m
# === Test ===
if __name__ == '__main__':
# Read all licenses.
data = pd.read_csv('../data/all/licenses-all-latest.csv')
data = data.loc[
(~data['premise_latitude'].isnull()) &
(~data['premise_longitude'].isnull())
]
# Create a map of all licenses.
map_file = '../analysis/figures/cannabis-licenses-map.html'
m = create_retailer_map(data, filename=map_file)
print('Saved map to', map_file)
# FIXME: Create a PNG image of the map.
# import io
# from PIL import Image
# img_data = m._to_png(30)
# img = Image.open(io.BytesIO(img_data))
# img.save('../analysis/figures/cannabis-licenses-map.png')
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