The Data Commons Pandas API is a superset of the Data Commons Python API: all functions from the Python API are also accessible from the Pandas API, and supplemental functions help with directly creating pandas objects using data from the Data Commons knowledge graph for common pandas use cases. Please see the Data Commons API Overview for more details on the design and structure of the API.

Before proceeding, make sure you have followed the setup instructions below.

Getting Started

To get started using the Pandas API:

Install the API using pip.
Begin developing with the Pandas API

Installing the Pandas API

First, install the datacommons_pandas package through pip.

pip install datacommons_pandas

For more information about installing pip and setting up other parts of your Python development environment, please refer to the Python Development Environment Setup Guide for Google Cloud Platform.

Using the Pandas API

You are ready to go! From here you can view our tutorials on how to use the API to perform certain tasks, or see a full list of functions, classes and methods available for use in the sidebar.