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Python client to read IMF WEO dataset as pandas dataframe

Project description

weo-reader

  1. The program uses Python 3.6. To install weo as a python package use:

pip install weo

  1. You need the data saved as a local file. Download latest WEO country data file from IMF web site (for example as weo.csv).

You can do it manually in a command line with curl command:


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

Please note WEOOct2019all.xls is in fact a tab-delimited CSV file.

Alternatively, can use weo.download() function:

from weo import download



download('weo.csv', 2019, 2)
  1. Use WEO class from weo package or weo.py to view and extract data. WEO is a wrapper around a by-country pandas dataframe that ensures proper data import and easier access to it.

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

from weo import WEO



w = WEO('weo.csv') 



# What is inside?

w.variables()

w.units()    

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

w.codes()

w.code('LUR')



# Countries

w.find_countries('United')

w.iso_code('Netherlands')



# Get some data

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)")

w.country('DEU', 2018)
  1. Try Google Colab Notebook

Dev notes

  • WEOOct2019all.xls file from the web site is really a CSV file.

Project details


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