Skip to main content

A currency converter using the European Central Bank data.

Project description

actions cratev crated

This is a currency converter that uses historical rates against a reference currency (Euro). It is compatible with Python3.6+.

Currency data sources

The default source is the European Central Bank. This is the ECB historical rates for 42 currencies against the Euro since 1999. It can be downloaded here: The converter can use different sources as long as the format is the same.

Note that the currency converter does not query the API in real time, to avoid the overhead of the HTTP request. It uses embedded data in the library, which might not be up to date. If you need the latest data, please refer to the data section.


You can install directly after cloning:

$ python install --user

Or use the Python package:

$ pip install --user currencyconverter

Command line tool

After installation, you should have currency_converter in your $PATH:

$ currency_converter 100 USD --to EUR
100.000 USD = 87.512 EUR on 2016-05-06

Python API

Create once the currency converter object:

>>> from currency_converter import CurrencyConverter
>>> c = CurrencyConverter()

Convert from EUR to USD using the last available rate:

>>> c.convert(100, 'EUR', 'USD') # doctest: +SKIP

Default target currency is EUR:

>>> c.convert(100, 'EUR')
>>> c.convert(100, 'USD') # doctest: +SKIP

You can change the date of the rate:

>>> from datetime import date # datetime works too
>>> c.convert(100, 'EUR', 'USD', date=date(2013, 3, 21))


You can use your own currency file, as long as it has the same format (ECB):

from currency_converter import ECB_URL, SINGLE_DAY_ECB_URL

# Load the packaged data (might not be up to date)
c = CurrencyConverter()

# Download the full history, this will be up to date. Current value is:
c = CurrencyConverter(ECB_URL)

# Dowload only the latest available day. Current value is:
c = CurrencyConverter(SINGLE_DAY_ECB_URL)

# Load your custom file
c = CurrencyConverter('./path/to/currency/file.csv')

Since the raw data is updated only once a day, it might be better to only download it once a day:

import os.path as op
import urllib.request
from datetime import date

from currency_converter import ECB_URL, CurrencyConverter

filename = f"ecb_{}.zip"
if not op.isfile(filename):
    urllib.request.urlretrieve(ECB_URL, filename)
c = CurrencyConverter(filename)


Some rates are missing:

>>> c.convert(100, 'BGN', date=date(2010, 11, 21))
Traceback (most recent call last):
RateNotFoundError: BGN has no rate for 2010-11-21

But we have a fallback mode for those, using a linear interpolation of the closest known rates, as long as you ask for a date within the currency date bounds:

>>> c = CurrencyConverter(fallback_on_missing_rate=True)
>>> c.convert(100, 'BGN', date=date(2010, 11, 21))

The fallback method can be configured with the fallback_on_missing_rate_method parameter, which currently supports "linear_interpolation" and "last_known" values.

We also have a fallback mode for dates outside the currency bounds:

>>> c = CurrencyConverter()
>>> c.convert(100, 'EUR', 'USD', date=date(1986, 2, 2))
Traceback (most recent call last):
RateNotFoundError: 1986-02-02 not in USD bounds 1999-01-04/2016-04-29
>>> c = CurrencyConverter(fallback_on_wrong_date=True)
>>> c.convert(100, 'EUR', 'USD', date=date(1986, 2, 2)) # fallback to 1999-01-04


If you need exact conversions, you can use the decimal option to use decimal.Decimal internally when parsing rates. This will slow down the load time by a factor 10 though.

>>> c = CurrencyConverter(decimal=True)
>>> c.convert(100, 'EUR', 'USD', date=date(2013, 3, 21))

Other attributes

  • bounds lets you know the first and last available date for each currency

>>> first_date, last_date = c.bounds['USD']
>>> first_date, 1, 4)
>>> last_date # doctest: +SKIP, 11, 14)
  • currencies is a set containing all available currencies

>>> c.currencies # doctest: +SKIP
set(['SGD', 'CAD', 'SEK', 'GBP', ...
>>> 'AAA' in c.currencies
>>> c.convert(100, 'AAA')
Traceback (most recent call last):
ValueError: AAA is not a supported currency

Project details

Download files

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

Source Distribution

CurrencyConverter-0.17.17.tar.gz (3.8 MB view hashes)

Uploaded source

Built Distribution

CurrencyConverter-0.17.17-py3-none-any.whl (588.4 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page