DatabankPy

A set of utilities for programmatic access to the DNP databank
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About

This library includes wrapper functions for interacting with the API of our databank.

Installation

pip install databankpy

Basic Usage

Create Dataset

import os

from databankpy.dataset import Dataset

iris = Dataset({
    'name': 'Iris',
    'description': "A small classic dataset from Fisher, 1936",
    'license': 'PUBLIC_DOMAIN',
    'columns': {
        'SEPAL_LENGTH': {
            'description': 'sepal length in cm',
            'nullable': False,
            'type': 'FLOAT'
        },
        'SEPAL_WIDTH': {
            'description': 'sepal width in cm',
            'nullable': False,
            'type': 'FLOAT'
        },
        'PETAL_LENGTH': {
            'description': 'petal length in cm',
            'nullable': False,
            'type': 'FLOAT'
        },
        'PETAL_WIDTH': {
            'description': 'petal width in cm',
            'nullable': False,
            'type': 'FLOAT'
        },
        'SPECIES': {
            'description': 'species of iris',
            'nullable': False,
            'type': 'STRING'
        }
    }
})

iris.append_csv(os.path.abspath(os.path.join('data', 'iris.csv')))

email, password = os.environ['DATABANK_EMAIL'], os.environ['DATABANK_PASSWORD']
iris.upload(email, password)

Development Setup

Install Dependencies

pip install ".[dev]"

Build

python -m build

Deploy

python -m twine upload dist/*

Build Docs

make -C docs html && http-server -c-1 docs/build/html