imfdatapy

A package for data discovery and extraction from the International Monetary Fund (IMF)! This repository contains Python source code and Jupyter notebooks with examples on how to extract data from the IMF.

Installation

    $ pip install imfdatapy

Usage

imfdatapy can be used to search through and extract data as follows. The examples below show how to search through the IFS (International Financial Statistics) and BOP (Balance of Payments) using serach_terms and download all the data with matching economic indicator names.

from imfdatapy.imf import *
ifs = IFS(search_terms=["gross domestic product, real"], countries=["US"], period='Q',
start_date="2000", end_date="2022")
df = ifs.download_data()

bop = BOP(search_terms=["current account, total, credit"], countries=["US"], period='Q',
start_date="2000", end_date="2022")
df = bop.download_data()

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

imfdatapy was created by Sou-Cheng T. Choi and Irina Klein, Illinois Institute of Technology. It is licensed under the terms of the Apache License, v2.0.

With regard to the terms for using IMF data, please refer to IMF's Copyright and Usage and pay special attention to the section SPECIAL TERMS AND CONDITIONS PERTAINING TO THE USE OF DATA.

Credits

imfdatapy was created with cookiecutter and the py-pkgs-cookiecutter template.