April 2018
Beginner to intermediate
440 pages
11h 36m
English
Because of the interactivity of Jupyter Notebooks, code and code output exist together. This is great when dealing with geospatial data, as it makes it easy to create a map of the data. In this example, the NBA arenas and MLB stadiums datasets are added to a map over a BaseMap object:
from cartoframes import Layer, BaseMap, stylingcc.map(layers=[BaseMap('light'), Layer('arenas_nba',), Layer('stadiums_mlb')], interactive=True)
The output produced is as follows:
