PetalData Python Library

Export your data from cloud apps like Stripe, Hubspot, and Metabase into Pandas Dataframes with PetalData.

Installation

pip install --upgrade petaldata

Requirements

Python 3.4+

Usage

import petaldata

Example Usage

See the examples directory in the GitHub repo.

Documentation

Interactive documentation is at https://petaldata.app/.

Releasing

• Update CHANGELOG
• Bump the version number in setup.py.
• Generate the distribution archive and upload the archive:

rm dist/*
python setup.py sdist bdist_wheel
python -m twine upload --repository-url https://upload.pypi.org/legacy/ dist/*

Adding a Dataset

• Create a petaldata/datasets/[CLOUD_APP] directory
• Create a petaldata/datasets/[CLOUD_APP]/[DATASET_NAME (PLURAL)].py file.
  • Create a class that inherits from petaldata.datasets.abstract.Dataset. See petaldata.datasets.stripe.Invoices for an example.
• Create a petaldata/datasets/[CLOUD_APP]/__init__.py file.
  • Import the dataset created above.
  • Add config variables needed to use the [CLOUD_APP] API (like an API KEY`).
• Add from petaldata.datasets import [CLOUD_APP] to petaldata/__init__.py

Questions

Email derek@petaldata.app.