Map_Viz.txt

import os

import mapclassify


import pandas as pd

from mapboxgl.utils import create_color_stops, df_to_geojson
from mapboxgl.viz import CircleViz


# Load data from sample csv
data_url = 'https://raw.githubusercontent.com/USFOneHealthCodeathon2021/Team6/main/samplecase.csv'
df = pd.read_csv(data_url)
# Set environment variables
os.environ['MAP_TOKEN'] = 'pk.eyJ1IjoiY2h1dGtpIiwiYSI6ImNrbG0xNGtmcjA0b2YydW84c3QwYXBtYnoifQ.jVPTcSgsUCmTI0Tn3GC68Q'
# Must be a public token, starting with `pk`
token = os.getenv('MAP_TOKEN')

# Create a geojson file export from a Pandas dataframe
df_to_geojson(df, filename='points1.geojson',
              properties=['confirmed_count', 'death_count'],
              lat='Latitude', lon='Longitude', precision=3)

measure = 'confirmed_count'
color_breaks = [round(df[measure].quantile(q=x*0.1), 2) for x in range(1,9)]
color_stops = create_color_stops(color_breaks, colors='YlOrRd')


# Create the viz from the dataframe
viz = CircleViz('points1.geojson',
                access_token=token,
                height='400px',
                color_property = "confirmed_count",
                color_stops = color_stops,
                center = (-95, 40),
                zoom = 3,
                below_layer = 'waterway-label'
              )
viz.show()