import pandas as pd
+import sys
+import os
+sys.path.append("..") # Adds higher directory to python modules path. Use to run this example locallay without a global pip install.
+
+from mapboxgl.viz import *
+from mapboxgl.utils import df_to_geojson, create_radius_stops, scale_between
+from mapboxgl.colors import create_color_stops
+from jenks import jenks
+df = pd.read_csv('../examples/points.csv')
+df['Avg Total Payments'] = df['Avg Total Payments'].round(2)
+df['Avg Covered Charges'] = df['Avg Covered Charges'].round(2)
+df['Total Discharges'] = df['Total Discharges'].round(2)
+df['Avg Medicare Payments'] = df['Avg Medicare Payments'].round(2)
+df.head(5)
+data = df_to_geojson(df,
+ properties=['Avg Medicare Payments', 'Avg Covered Charges'],
+ precision=4)
+Set the access token. Alternatively, set this as a MAPBOX_ACCESS_TOKEN environment variable
# Must be a public token, starting with `pk`
+token = os.getenv('MAPBOX_ACCESS_TOKEN')
+Create the visualization
+ +viz = CircleViz(data, access_token=token, height='400px')
+Generate data breaks and color stops from colorBrewer
+ +breaks = jenks(df['Avg Medicare Payments'].tolist(), 8)
+color_stops = create_color_stops(breaks, colors='YlGnBu')
+color_stops
+# Test the circle viz on the Avg Medicare Payments property
+viz.color_property = "Avg Medicare Payments"
+viz.color_stops = color_stops
+viz.center = (-95, 40)
+viz.zoom = 3
+
+viz.show()
+# Add labels to the viz
+viz.label_property = "Avg Medicare Payments"
+viz.show()
+# Generate data breaks and color stops from colorBrewer
+breaks = jenks(df['Avg Covered Charges'].tolist(), 8)
+color_stops = create_color_stops(breaks, colors='YlOrRd')
+You can also create a vizualization by intializing the object with all of the relevant +attributes.
+ +viz2 = CircleViz(data, access_token=token, color_property='Avg Covered Charges',
+ color_stops=color_stops, center=[-95, 40], zoom=3)
+viz2.show()
+Using a different Mapbox style
+ +viz3 = CircleViz(data, access_token=token, color_property='Avg Covered Charges',
+ style_url='mapbox://styles/mapbox/dark-v9',
+ color_stops=color_stops, center=[-95, 40], zoom=3)
+viz3.show()
+Create a graduated cricle viz based on two data properties
+ +# Generate data breaks and color stops from colorBrewer
+color_breaks = jenks(df['Avg Covered Charges'].tolist(), 8)
+color_stops = create_color_stops(color_breaks, colors='Spectral')
+
+# Generate radius breaks from data domain and circle-radius range
+radius_breaks = jenks(df["Avg Medicare Payments"].tolist(), 8)
+radius_stops = create_radius_stops(radius_breaks, 1, 10)
+viz4 = GraduatedCircleViz(data, access_token=token)
+viz4.color_property = "Avg Covered Charges"
+viz4.color_stops = color_stops
+viz4.radius_property = "Avg Medicare Payments"
+viz4.radius_stops = radius_stops
+viz4.center = (-95, 40)
+viz4.zoom = 3
+
+viz4.show()
+Swap the map to a satellite image with a larger radius scale
+ +radius_stops = create_radius_stops(radius_breaks, 1, 15)
+color_stops = create_color_stops(color_breaks, colors='RdBu')
+
+viz5 = GraduatedCircleViz(data, access_token=token, style_url='mapbox://styles/mapbox/satellite-streets-v10')
+viz5.color_property = "Avg Covered Charges"
+viz5.color_stops = color_stops
+viz5.radius_property = "Avg Medicare Payments"
+viz5.radius_stops = radius_stops
+viz5.center = (-95, 40)
+viz5.zoom = 3
+
+viz5.show()
+| \n", + " | Avg Total Payments | \n", + "Avg Covered Charges | \n", + "Total Discharges | \n", + "Avg Medicare Payments | \n", + "admin1_id | \n", + "Provider Id | \n", + "admin2_id | \n", + "lon | \n", + "lat | \n", + "
|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "8749.03 | \n", + "35247.03 | \n", + "58.75 | \n", + "7678.21 | \n", + "USA101 | \n", + "10001 | \n", + "USA201069 | \n", + "-85.362856 | \n", + "31.216215 | \n", + "
| 1 | \n", + "6812.13 | \n", + "16451.09 | \n", + "28.96 | \n", + "5793.63 | \n", + "USA101 | \n", + "10005 | \n", + "USA201119 | \n", + "-88.142797 | \n", + "32.452976 | \n", + "
| 2 | \n", + "8197.24 | \n", + "36942.36 | \n", + "45.36 | \n", + "7145.96 | \n", + "USA101 | \n", + "10006 | \n", + "USA201077 | \n", + "-87.682872 | \n", + "34.794052 | \n", + "
| 3 | \n", + "4860.83 | \n", + "12079.54 | \n", + "27.41 | \n", + "4047.03 | \n", + "USA101 | \n", + "10007 | \n", + "USA201039 | \n", + "-86.254597 | \n", + "31.291993 | \n", + "
| 4 | \n", + "5898.14 | \n", + "16148.75 | \n", + "17.89 | \n", + "4963.55 | \n", + "USA101 | \n", + "10008 | \n", + "USA201041 | \n", + "-86.265102 | \n", + "31.693554 | \n", + "
| \n", - " | Avg Total Payments | \n", - "Avg Covered Charges | \n", - "Total Discharges | \n", - "Avg Medicare Payments | \n", - "admin1_id | \n", - "Provider Id | \n", - "admin2_id | \n", - "lon | \n", - "lat | \n", - "
|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", - "8749.03 | \n", - "35247.03 | \n", - "58.75 | \n", - "7678.21 | \n", - "USA101 | \n", - "10001 | \n", - "USA201069 | \n", - "-85.362856 | \n", - "31.216215 | \n", - "
| 1 | \n", - "6812.13 | \n", - "16451.09 | \n", - "28.96 | \n", - "5793.63 | \n", - "USA101 | \n", - "10005 | \n", - "USA201119 | \n", - "-88.142797 | \n", - "32.452976 | \n", - "
| 2 | \n", - "8197.24 | \n", - "36942.36 | \n", - "45.36 | \n", - "7145.96 | \n", - "USA101 | \n", - "10006 | \n", - "USA201077 | \n", - "-87.682872 | \n", - "34.794052 | \n", - "
| 3 | \n", - "4860.83 | \n", - "12079.54 | \n", - "27.41 | \n", - "4047.03 | \n", - "USA101 | \n", - "10007 | \n", - "USA201039 | \n", - "-86.254597 | \n", - "31.291993 | \n", - "
| 4 | \n", - "5898.14 | \n", - "16148.75 | \n", - "17.89 | \n", - "4963.55 | \n", - "USA101 | \n", - "10008 | \n", - "USA201041 | \n", - "-86.265102 | \n", - "31.693554 | \n", - "