Skip to main content

World Integrated Trade Solution (WITS) API in Python

Project description

World Trade Statistics (WITS) API in Python

Build Status Language grade: Python Pypi pyversions Jupyter Notebook Star

This package is an implementation of the World Integrated Trade Solution API. Use this package to explore the Trade and Tariff Data published by the World Bank.

This python package itself is licenced under the MIT License. Different Terms and Conditions apply to the WITS data itself, please read the Frequently Asked Questions on the WITS website.

Quick tutorial


Install or update the World Trade Data python package with

pip install world_trade_data --upgrade

Get the list of countries, products, indicators

See the outputs of the commands below on GitHub. Or even, open this as a notebook and run it interactively on Binder!

import pandas as pd
import world_trade_data as wits
pd.set_option('display.max_rows', 6)

All these methods accept a datasource argument, which can be any of


The nomenclature, and data availability, are accessible with get_nomenclatures() and get_dataavailability().

Get the Trade or Tariff data

Indicators are available with get_indicator. Tariff rates can be loaded with get_tariff_reported and get_tariff_estimated.

Sample use case

In the below we show how to collect and plot the Import and Export data for the USA in 2017.

To begin with, we request the values for the corresponding import and exports. Here, we use the default value for partner='wld', and the default value for product='all'.

usa_imports_2017 = wits.get_indicator('MPRT-TRD-VL', reporter='usa', year='2017')
usa_exports_2017 = wits.get_indicator('XPRT-TRD-VL', reporter='usa', year='2017')

Now we remove the first levels of the index

usa_imports_2017 = usa_imports_2017.loc['Annual'].loc['United States'].loc['World']
usa_exports_2017 = usa_exports_2017.loc['Annual'].loc['United States'].loc['World']

Note that one line in the table gives the value for imports on all products:

usa_imports_2017.loc['All Products']

In order to avoid double counting, we only look at sectors:

products = wits.get_products()
sectors = products.loc[(products.grouptype=='Sector') & (products.index!='Total')].productdescription.values

and make sure that we reproduce well the total:

assert[sectors].Value.sum(), usa_imports_2017.loc['All Products'].Value)

Finally we represent the data using e.g. Plotly's Pie Charts

import plotly.graph_objects as go
from plotly.subplots import make_subplots

imports_musd = usa_imports_2017.loc[sectors].Value / 1e3
exports_musd = usa_exports_2017.loc[sectors].Value / 1e3

fig = make_subplots(rows=1, cols=2, specs=[[{'type':'domain'}, {'type':'domain'}]])
fig.add_trace(go.Pie(labels=sectors, values=imports_musd, name="Imports"), 1, 1)
fig.add_trace(go.Pie(labels=sectors, values=exports_musd, name="Exports"), 1, 2)

                  hovertemplate = "%{label}<br>%{value:,.0f}M$<br>%{percent}")

    title_text="Trade Statistics, USA, 2017",
                      x=0.17, y=0.5, font_size=16, showarrow=False),
                      x=0.83, y=0.5, font_size=16, showarrow=False)])'notebook_connected')

References & Alternatives

  • The official WITS portal let you visualize and download trade and tariff data. And the API implemented in this package is documented here.
  • The WITS data can be accessed in R with the tradestatistics library.
  • An alternative way to access the WITS data is to use pandasdmx.
<script async defer src=""></script>

Project details

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for world-trade-data, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size world_trade_data-0.1.0.tar.gz (9.2 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page