DBnomics Python client

Download time series from DBnomics and access it as a Pandas DataFrame.

This package is compatible with Python >= 3.8. (TODO vermin)

Documentation

Quick start

Tutorial

A tutorial showing how to download series as a DataFrame and plot them is available as a notebook.

Install

pip install dbnomics

See also: https://pypi-hypernode.com/project/DBnomics/

Configuration

Use with a proxy

This Python package uses requests, which is able to work with a proxy (HTTP/HTTPS, SOCKS). For more information, please check its documentation.

Customize the API base URL

If you plan to use a local Web API, running on the port 5000, you'll need to use the api_base_url parameter of the fetch_* functions, like this:

df = fetch_series(
    api_base_url='http://localhost:5000',
    provider_code='AMECO',
    dataset_code='ZUTN',
)

Or globally change the default API URL used by the dbnomics module, like this:

import dbnomics
dbnomics.default_api_base_url = "http://localhost:5000"

Development

To work on dbnomics-python-client source code:

git clone https://git.nomics.world/dbnomics/dbnomics-python-client.git
cd dbnomics-python-client
pip install -r requirements.txt
pip install -r requirements-dev.txt
pip install -e .

Open the demo notebook

Install jupyter if not already done, in a virtualenv:

pip install jupyter
jupyter notebook index.ipynb

Tests

pip install -r requirements.txt
pip install -r requirements-test.txt
pip install -e .

pytest

# Specify an alternate API URL
API_URL=http://localhost:5000 pytest