dbnomics 1.0.1

# DBnomics Python client

Access DBnomics time series from Python.

This project relies on [Python Pandas](https://pandas.pydata.org/).

## Tutorial

A tutorial is available as a [Jupyter notebook](./index.ipynb).

The "Binder" tool allows you to run it interactively in your browser. Click on [](https://mybinder.org/v2/gh/dbnomics/dbnomics-python-client/master?filepath=index.ipynb) then wait a couple of seconds. After loading a list of files should be displayed. Click on `index.ipynb` to open the tutorial notebook, where you'll be able to play with the DBnomics Python client.

## Install

```bash
pip install dbnomics
```

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

## Development

To work on dbnomics-python-client source code:

```bash
git clone https://git.nomics.world/dbnomics/dbnomics-python-client.git
cd dbnomics-python-client
pip install --editable .
```

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:

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

Or set the default API URL by [monkey-patching](https://en.wikipedia.org/wiki/Monkey_patch) the `dbnomics` module, like this:

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

## Tests

Run tests:

```bash
pytest tests/test_client.py

# Specify an alterate API URL
API_URL=http://localhost:5000 pytest tests/test_client.py
```