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Python client to read IMF WEO dataset as pandas dataframe

Project description

weo-reader

  1. Manually download latest WEO data file from IMF web site as weo.csv. Example:

curl -o weo.csv https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/WEOOct2019all.xls

Please note the .xls file from the web site is really a CSV file.

  1. Use WEO class from weo.py to view and extract data. WEO is a wrapper around a by-country pandas dataframe that ensures proper import and easier access to data.

  2. Things to try in a REPL, by line:

from weo import WEO



w = WEO('weo.csv') 

w.vars()

w.units()    

w.units('Gross domestic product, current prices')

w.find_countries('United')

w.iso_code('Netherlands')

w.get('General government gross debt', 'Percent of GDP')

w.gdp_usd(2024).head(20).sort_values().plot.barh(title="GDP by country, USD bln (2024)")
  1. You might need to install dependencies if you do not have pandas yet:

    pip install -r requirements.txt. The program uses Python 3.6, just in case.

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