Several libraries provide interactive visualization of 2D or 3D data in the Notebook, using the capabilities of Jupyter widgets. We give basic examples using four of these libraries: ipyleaflet, bqplot, pythreejs, and ipyvolume.
To install the libraries, type
conda install -c conda-forge ipyleaflet bqplot pythreejs ipyvolume in a Terminal.
ipyleaflet, which offers a Python interface to use the Leaflet.js interactive mapping library (similar to Google Maps, but based on the open source project OpenStreetMaps):
>>> from ipyleaflet import Map, Marker
>>> pos ...