app.py

import pandas as pd
import pydeck as pdk

# Define the list of dictionaries with hospital information
hospital_list = [
    {
        'bed_count': 2766,
        'name': 'New York-Presbyterian Hospital',
        'city': 'New York',
        'state': 'NY',
        'latitude': 40.8404,
        'longitude': -73.9508,
        'zip': '10032'
    },
    {
        'bed_count': 2145,
        'name': 'Florida Hospital Orlando',
        'city': 'Orlando',
        'state': 'FL',
        'latitude': 28.5536,
        'longitude': -81.3568,
        'zip': '32803'
    },
    {
        'bed_count': 2020,
        'name': 'Jackson Memorial Hospital',
        'city': 'Miami',
        'state': 'FL',
        'latitude': 25.7893,
        'longitude': -80.2124,
        'zip': '33136'
    },
    {
        'bed_count': 1997,
        'name': 'Keck Medical Center of USC',
        'city': 'Los Angeles',
        'state': 'CA',
        'latitude': 34.0522,
        'longitude': -118.2437,
        'zip': '90033'
    },
    {
        'bed_count': 1956,
        'name': 'Montefiore Medical Center',
        'city': 'Bronx',
        'state': 'NY',
        'latitude': 40.8471,
        'longitude': -73.8816,
        'zip': '10467'
    },
    {
        'bed_count': 1926,
        'name': 'Rush University Medical Center',
        'city': 'Chicago',
        'state': 'IL',
        'latitude': 41.8745,
        'longitude': -87.6676,
        'zip': '60612'
    },
    {
        'bed_count': 1918,
        'name': 'University of Michigan Hospitals-Michigan Medicine',
        'city': 'Ann Arbor',
        'state': 'MI',
        'latitude': 42.2814,
        'longitude': -83.7483,
        'zip': '48109'
    },
    {
        'bed_count': 1863,
        'name': 'Parkland Health and Hospital System',
        'city': 'Dallas',
        'state': 'TX',
        'latitude': 32.7767,
        'longitude': -96.7970,
        'zip': '75235'
    },
    {
        'bed_count': 1858,
        'name': 'Houston Methodist Hospital',
        'city': 'Houston',
        'state': 'TX',
        'latitude': 29.7181,
        'longitude': -95.4044,
        'zip': '77030'
    },
    {
        'bed_count': 1800,
        'name': 'Brigham and Women\'s Hospital',
        'city': 'Boston',
        'state': 'MA',
        'latitude': 42.3367,
        'longitude': -71.1075,
        'zip': '02115'
    },
    {
        'bed_count': 1771,
        'name': 'Cleveland Clinic',
        'city': 'Cleveland',
        'state': 'OH',
        'latitude': 41.5047,    'longitude': -81.6218,
    'zip': '44195'
},
{
    'bed_count': 1730,
    'name': 'The Mount Sinai Hospital',
    'city': 'New York',
    'state': 'NY',
    'latitude': 40.7909,
    'longitude': -73.9524,
    'zip': '10029'
},
{
    'bed_count': 1729,
    'name': 'Northwestern Memorial Hospital',
    'city': 'Chicago',
    'state': 'IL',
    'latitude': 41.8953,
    'longitude': -87.6251,
    'zip': '60611'
},
{
    'bed_count': 1660,
    'name': 'Hospitals of the University of Pennsylvania-Penn Presbyterian',
    'city': 'Philadelphia',
    'state': 'PA',
    'latitude': 39.9526,
    'longitude': -75.1652,
    'zip': '19104'
},
{
    'bed_count': 1642,
    'name': 'Johns Hopkins Hospital',
    'city': 'Baltimore',
    'state': 'MD',
    'latitude': 39.2967,
    'longitude': -76.5913,
    'zip': '21287'
},
{
    'bed_count': 1614,
    'name': 'Cedars-Sinai Medical Center',
    'city': 'Los Angeles',
    'state': 'CA',
    'latitude': 34.0762,
    'longitude': -118.3882,
    'zip': '90048'
},
{
    'bed_count': 1577,
    'name': 'Massachusetts General Hospital',
    'city': 'Boston',
    'state': 'MA',
    'latitude': 42.3639,
    'longitude': -71.0711,
    'zip': '02114'
},
{
    'bed_count': 1566,
    'name': 'NYU Langone Hospitals',
    'city': 'New York',
    'state': 'NY',
    'latitude': 40.7429,
    'longitude': -73.9750,
    'zip': '10016'
},
{
    'bed_count': 1547,
    'name': 'Mayo Clinic Hospital-Rochester',
    'city': 'Rochester',
    'state': 'MN',
    'latitude': 44.0121,
    'longitude': -92.4802,
    'zip': '55902'
},
{
    'bed_count': 1537,
    'name': 'Stanford Health Care-Stanford Hospital',
    'city': 'Stanford',
    'state': 'CA',
    'latitude': 37.4354,
    'longitude': -122.1777,
    'zip': '94305'
}
]
       
df = pd.DataFrame(hospital_list)

layer = pdk.Layer(
        'ScatterplotLayer',
        data=df,
        get_position='[longitude, latitude]',
        get_radius='bed_count/10',
        get_fill_color='[bed_count, 0, 255-bed_count]',
        get_line_color=[255, 255, 255],
        pickable=True
    )

tooltip = {
    'html': '<b>{name}</b><br/>{bed_count} beds<br/>{city}, {state} {zip}',
    'style': {
    'backgroundColor': 'white',
    'color': 'black'
    }
}

map = pdk.Deck(
        map_style='mapbox://styles/mapbox/light-v9',
        initial_view_state=pdk.ViewState(
            latitude=37.0902,
            longitude=-95.7129,
            zoom=3,
            pitch=0
        ),
        layers=[layer],
        tooltip=tooltip
)


map.show()