oec 0.2.1

API Wrapper for The Observatory for Economic Complexity

Python Wrapper for The Observatory for Economic Complexity API

Language: Python 3
Data Source: Observatory for Economic Complexity (OEC)

Installation

pip install oec

Usage

See the OEC website for details about acceptable parameters for an API call: https://atlas.media.mit.edu/api/

Check out help.txt or run pydoc oec to view function-level documentation.

Get data from the OEC website

import oec

# Set parameters in accordance with API documentation
params = {'classification': 'hs92',
		  'trade_flow': 'export',
		  'year': 2015,
		  'origin': 'egy',
		  'destination': 'all',
		  'product': 'show'}

list_of_countries = oec.get_countries()
list_of_products = oec.get_products(params['classification'])
list_of_exports = oec.get_trade(**params)

These functions each return lists of dictionaries. Each of these dictionaries represents a "row" of data (e.g. one country or product). The fields of these dictionaries represent "columns" of data. This is easier to visualize if you output your data to a CSV file.

Output data to a CSV file

oec.data_to_csv(list_of_dictionaries, 'results.csv')

These CSV files can then be opened up in the spreadsheet editor of your choice for further analysis.

Display visualizations

>>> oec.url_visual(**params)
'http://atlas.media.mit.edu/en/visualize/tree_map/hs92/export/egy/all/show/2015/'
>>> oec.embed_visual(**params)
'<iframe src="http://atlas.media.mit.edu/en/visualize/embed/tree_map/hs92/export/egy/all/show/2015/" width=930 height=400></iframe>'
>>> oec.url_visual(**params, language='fr')
'http://atlas.media.mit.edu/fr/visualize/tree_map/hs92/export/egy/all/show/2015/'

Acknowledgements

Credits to Alex Simoes for the development of The Observatory for Economic Complexity. This module was developed by Yahia Ali, who is not affiliated in any way with the OEC team.