Skip to main content

A library of API wrappers for US Federal Government datasets.

Project description

fedwrap

A Python package providing convenient wrappers for accessing and working with US federal datasets, including the American Community Survey and CDC PLACES.


Table of Contents


Overview

fedwrap simplifies access to federal datasets by providing Pythonic wrappers for public APIs and data downloads. The package is designed for researchers, analysts, and developers who need streamlined access to high-value US government data.


Features

  • Easy access to the American Community Survey (ACS) and the CDC PLACES dataset
  • Data returned as pandas DataFrames for easy analysis

Installation

pip install fedwrap

Quick Start

from fedwrap import census_acs, cdc_places

# Example: Fetch ACS data
acs_df = census_acs.get_education_data(year=2022, geography="county")

# Example: Fetch CDC PLACES data
places_df = data = get_places_data(
    geo='county',
    year='2022',
    measureid='ARTHRITIS',
    datavaluetypid='CrdPrv'
)

Modules

  • census_acs provides functions for accessing data from the American Community Survey API
  • cdc-places provides functions for accessing data from the CDC PLACES dataset

Dependencies

  • pandas
  • requests
  • beautifulsoup4

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or suggestions, open an issue or contact Mark Aronson.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fedwrap-0.0.4.tar.gz (24.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fedwrap-0.0.4-py3-none-any.whl (25.8 kB view details)

Uploaded Python 3

File details

Details for the file fedwrap-0.0.4.tar.gz.

File metadata

  • Download URL: fedwrap-0.0.4.tar.gz
  • Upload date:
  • Size: 24.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for fedwrap-0.0.4.tar.gz
Algorithm Hash digest
SHA256 53445168305696209fd43f60f4f9d73bff2f3299d26ea37abbad1cceeb3262ba
MD5 77d019362681cd3e30fb14005f63d74e
BLAKE2b-256 061a843f76951cea082bcf20d7d7493dab31b17856ce6d2a6d77c8569fb99d95

See more details on using hashes here.

File details

Details for the file fedwrap-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: fedwrap-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 25.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for fedwrap-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e1d9e8c4369d77df96a708892a649a1fdcfb189cb7d415ee5ff85d680474889c
MD5 6a2f0269db464a489c97566c708149e4
BLAKE2b-256 a9b2f3f7c72668c9cfcbcabfe01daffd4eca159d73dfc11e07a212c05e6c831d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page