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-0.1.0.tar.gz (27.4 kB view details)

Uploaded Source

Built Distribution

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

fedwrap-0.1.0-py3-none-any.whl (29.3 kB view details)

Uploaded Python 3

File details

Details for the file fedwrap-0.1.0.tar.gz.

File metadata

  • Download URL: fedwrap-0.1.0.tar.gz
  • Upload date:
  • Size: 27.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for fedwrap-0.1.0.tar.gz
Algorithm Hash digest
SHA256 260caa424a114f11027607cfdd04ad61fe0a0c997b7b47f62b41ce21dfd32c1d
MD5 eb009069af4f90da285cb69a19407283
BLAKE2b-256 42d59722dc3bc15d2a6fe7cc4ceb2871dc07877958f16e6736ca3609b858c204

See more details on using hashes here.

File details

Details for the file fedwrap-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: fedwrap-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 29.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for fedwrap-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7a0a323b15f249e2c9af1252c6016a641a0e3cc6ecb93282a04c73487063ea3f
MD5 425602eab60e3be635ac9ddf6c2ce576
BLAKE2b-256 a6db6fcea0ce393abc9ef4b7d8a394a506432dbf7c8353f75ae8ca16499bf727

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