Skip to main content

Pluck and flatten complex data.

Project description

Flatten complex data.

cherrypicker aims to make common ETL tasks (filtering data and restructuring it into flat tables) easier, by taking inspiration from jQuery and applying it in a Pythonic way to generic data objects.

pip install cherrypicker

cherrypicker provides a chainable filter and extraction interface to allow you to easily pick out objects from complex structures and place them in a flat table. It fills a similar role to jQuery in JavaScript, enabling you to navigate complex structures without the need for lots of complex nested for loops or list comprehensions.

Examples

>>> from cherrypicker import CherryPicker
>>> import json
>>> with open('climate.json', 'r') as fp:
...     data = json.load(fp)
>>> picker = CherryPicker(data)
>>> picker['id', 'city'].get()
[[1, 'Amsterdam'], [2, 'Athens'], [3, 'Atlanta GA'], ...]
>>> picker(city='B*')['info'](
...     population=lambda n: n > 2000000,
...     area=lambda a: a < 2000
... )['area', 'population'].get()
[[1568, 8300000], [891, 3700000], [203, 2800000]]

More complex filtering and flattening of nested structures is possible. Learn more in the documentation: https://cherrypicker.readthedocs.io.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for cherrypicker, version 0.3.0
Filename, size File type Python version Upload date Hashes
Filename, size cherrypicker-0.3.0.tar.gz (35.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page