Macrobond Data API for Python
The Macrobond Data API for Python is used to access the world’s most extensive
macroeconomic, aggregate financial and sector database provided by Macrobond.
Exposes a common API in Python for the
Macrobond Web
and Client data
APIs
You have to be a licensed user and have a Data+ or data feed user account in
order to use the API.
Examples in Jupyter Notebooks to help you get started
API reference
Basic usage
import macrobond_data_api as mb_api
usgdp = mb_api.get_one_series("usgdp")
Advanced usage
from macrobond_data_api.web import WebClient
with WebClient('client id', 'client secret') as api:
series = api.get_one_series('usgdp')
from macrobond_data_api.com import ComClient
with ComClient() as api:
series = api.get_one_series('usgdp')
Features
The Macrobond Data API for Python uses either the
Macrobond Web REST API
or the Macrobond Client data API
to obtain time series with values and metadata.
The API consists of a set of functions in common between the underlying APIs as
well as specialized functions unique to each implementation.
Installing macrobond-data-api and Supported Versions
Macrobond Data API for Python is available on PyPI:
python -m pip install macrobond-data-api
Macrobond Data API for Python officially supports Python 3.9+.
Using of system keyring for credentials
[!NOTE]
If u are using a proxy see "Using of system keyring for http proxy" first.
When using WebClient it is recommended to use the system keyring to store the API credentials.
This can be done easily by running the include script using this command:
python -c "from macrobond_data_api.util import *; save_credentials_to_keyring()"
Using of system keyring for http proxy
For users operating behind an HTTP proxy, it is advisable to utilize the system keyring to store proxy settings and
credentials.
This can be conveniently accomplished by executing the included script with the following command:
python -c "from macrobond_data_api.util import *; save_proxy_to_keyring()"
Supported keyrings
Contributing
We welcome community pull requests for bug fixes, enhancements, and documentation.
Getting support
Support options