Skip to main content

A simple python package for creating economic models and data objects using FRED API data.

Project description

econo-objects

A simple python package for creating economic models and data objects using FRED API data.

This package is still in beta please try it out and please report any comments, concerns, and issues.

Build and test GitHub PyPI version Downloads

Latest Update

  • First prerelease version published

Installation

You can install the package using pip:

pip install econo-objects

Package Usage

I recommend consulting the offical Binance US API documentation at: https://econo-objects.readthedocs.io/en/latest/

Here is a simple example of how to use the package:

# Imports
from econo_objects import FredObject

# Set API Key
Keys.set_fred_api_key("your_api_key_here")

# Initialize Fred Object
fred_obj = FredObject("GDP", "2020-01-01", "2023-01-01")

# Plot GDP
plot = fred_obj.plot_df

Important Notes

  • Store your API keys and secrets in environment variables or set directly.
  • Do not hardcode your API keys and secrets in your scripts.

Features

  • Easy plotting through predefinned methods
  • Data output is already in pandas DataFrame format

Next Update

  • More Calculations and Models

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.

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

econo_objects-0.0.1.tar.gz (41.5 kB view details)

Uploaded Source

Built Distribution

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

econo_objects-0.0.1-py3-none-any.whl (29.6 kB view details)

Uploaded Python 3

File details

Details for the file econo_objects-0.0.1.tar.gz.

File metadata

  • Download URL: econo_objects-0.0.1.tar.gz
  • Upload date:
  • Size: 41.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for econo_objects-0.0.1.tar.gz
Algorithm Hash digest
SHA256 25be5eb66edfad551d2525f9cff9160b05d2cc56ae9f9e65b29922fb947ac3f8
MD5 653830c70fb9f1d485b7e1661ce1ac58
BLAKE2b-256 0bcd58c11b39c776d4d4df108e97bb143ac48c93aac08f62f7fabfc41b07fe7f

See more details on using hashes here.

File details

Details for the file econo_objects-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: econo_objects-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 29.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.1

File hashes

Hashes for econo_objects-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ecd637515981b2130c2b8bba1b992515079061d3f40c0abb0f59251d2520a368
MD5 5f57695025e33d8942d114c13bb7836d
BLAKE2b-256 6de30e795f66ac69f211fc9cfa05e618d9af76b8c5ded8a1d8c317ff3ede4f97

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