framequery - SQL on dataframes

framequery allows to query dataframes with SQL. Currently it targets both [pandas][] and [dask][], while aiming for [PostgreSQL][postgres] compatibility. framequery is also integrated with [sqlalchemy][].

[dask]: dask.pydata.org [pandas]: pandas.pydata.org [postgres]: https://www.postgresql.org/ [sqlalchemy]: http://www.sqlalchemy.org/

Getting started

Install framequery with pip install framequery and use framequery.execute to run queries against dataframes in your scope:

import framequery as fq
import pandas as pd
stores = pd.read_csv('data/stores.csv') sales = pd.read_csv('data/sales.csv')
salesbycountry = fq.execute("""     SELECT country, sum(sales) as total_sales
FROM sales     JOIN stores     ON sales.store_id = stores.id
GROUP BY country """)
print(salesbycountry)

For a details usage see the usage guide and the API reference.

Changelog

0.2.0

• aim for postgres compatibility
• first-class dask support
• sqlalchemy support
• sort_values / order-by for dask
• refactored code

0.1.0

• initial release

License

The MIT License (MIT)

Copyright (c) 2016 - 2017 Christopher Prohm

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