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-0.0.9.tar.gz (25.4 kB view details)

Uploaded Source

Built Distribution

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

fedwrap-0.0.9-py3-none-any.whl (26.4 kB view details)

Uploaded Python 3

File details

Details for the file fedwrap-0.0.9.tar.gz.

File metadata

  • Download URL: fedwrap-0.0.9.tar.gz
  • Upload date:
  • Size: 25.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for fedwrap-0.0.9.tar.gz
Algorithm Hash digest
SHA256 5bb5ac949a80f85c14ba17e7bf81d5e14fe07455942b2c95fd138672fe4a54b2
MD5 dd7e1779a2015c4ad787d593ce922ebe
BLAKE2b-256 15c668635f18cad272af78f36925deec04d8a58b84ecec52d8a3d1dfee5c537b

See more details on using hashes here.

File details

Details for the file fedwrap-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: fedwrap-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 26.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for fedwrap-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 ef01924bc77a6292c8074b5a97642851cd7e94480b1c879dbd434aa97c1c9eb6
MD5 934d232c7b5d8dd339c0d6c1ff2b22a4
BLAKE2b-256 44541181b1a04d1b640e33ac040a0b0b35e2e5ed6d781904e704d908a6c780e5

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