framequery - SQL on dataframes
framequery allows to query dataframes with SQL. Currently it targets both pandas and dask, while aiming for PostgreSQL compatibility. framequery is also integrated with sqlalchemy.
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')
sales_by_country = fq.execute("""
SELECT country, sum(sales) as total_sales
FROM sales
JOIN stores
ON sales.store_id = stores.id
GROUP BY country
""")
print(sales_by_country)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
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.