Visualizing data with Deck.gl

deck.gl is a WebGL-powered framework for visual exploratory data analysis of large datasets.

Download and Installation

Github: Deck.gl

Deck.gl

With Python

It is recommended with virtual environment.

pip install pydeck

Set a MAPBOX_API_KEY or GOOGLE_MAPS_API_KEY environment variables, so pydeck will detect them.

In this case, I am using WSL, to set the environment variables:

Tutorial

  1. Open Jupyterlab
    jupyter-lab
  2. Create a new python file:
    we stored our data in PostgreSQL server. In this case, We use psycopg and sqlio from pandas to extract data to dataframe in Python: