A library to access Data Commons Python API.
Project description
Data Commons Python API
This is a Python library for accessing data in the Data Commons Graph.
To get started, install this package from pip.
pip install datacommons-client
To get additional functionality to work with Pandas DataFrames, install the package with the optional Pandas dependency.
pip install "datacommons-client[Pandas]"
Once the package is installed, import datacommons_client.
import datacommons_client as dc
For more detail on getting started with the API, please visit https://docs.datacommons.org/api/python/v2/.
About Data Commons
Data Commons is an open knowledge repository that provides a unified view across multiple public data sets and statistics. You can view what datasets are currently ingested and browse the graph using our browser.
License
Apache 2.0
Support
For questions, please send an email to support@datacommons.org.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file datacommons_client-2.1.2rc1.tar.gz.
File metadata
- Download URL: datacommons_client-2.1.2rc1.tar.gz
- Upload date:
- Size: 58.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
823f5e5d0c6d35cd8c231c552505a0730f3cb6fc01280390b465928779991b55
|
|
| MD5 |
2e06817d075b6d47b1d900a749c96d99
|
|
| BLAKE2b-256 |
edef0ff1bad19b97550f9bb3618fe51486462c866d14ff28aca23766ccb2dd03
|
File details
Details for the file datacommons_client-2.1.2rc1-py3-none-any.whl.
File metadata
- Download URL: datacommons_client-2.1.2rc1-py3-none-any.whl
- Upload date:
- Size: 75.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e17b1178556ad214048f28c942aa2f2dbbb7fe61838e92427c263d8382c76a72
|
|
| MD5 |
4418a11aa75f2d282e76a32e6c9f5ebd
|
|
| BLAKE2b-256 |
bfc7147c21866c807219ce1c627f9cceda24cd46da2ead5dc82ffc8d04e3f95c
|