Metadata-Version: 2.1
Name: pyprql
Version: 0.7.0
Summary: Python extensions for PRQL
Home-page: https://prql-lang.org
License: Apache-2.0
Author: Charlie Sanders
Author-email: charlie.fats@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Typing :: Typed
Requires-Dist: duckdb-engine (>=0.7,<0.8)
Requires-Dist: ipython (>=8,<9)
Requires-Dist: jupysql (>=0.6,<0.7)
Requires-Dist: pandas (>=1,<2)
Requires-Dist: prql-python (>=0.7,<0.8)
Requires-Dist: traitlets (>=5,<6)
Project-URL: Repository, https://github.com/prql/pyprql
Description-Content-Type: text/markdown

# pyprql

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pyprql contains:

- pyprql.pandas_accessor — Pandas integration for PRQL
- pyprql.magic — IPython magic for connecting to databases using `%%prql`
- pyprql.compile — An export of `prql-python`'s `compile` function

For docs, check out the [pyprql docs](https://pyprql.readthedocs.io/), and the
[PRQL Book][prql_docs].

## Installation

```sh
pip install pyprql
```

## Usage

### Pandas integration

```python
import pandas as pd
import pyprql.pandas_accessor

df = (...)
results_df = df.prql.query("select [age,name,occupation] | filter age > 21")
```

### Jupyter Magic

```python
In [1]: %load_ext pyprql.magic
In [2]: %prql postgresql://user:password@localhost:5432/database
In [3]: %%prql
   ...: from p
   ...: group categoryID (
   ...:   aggregate [average unitPrice]
   ...: )
In [4]: %%prql results <<
   ...: from p
   ...: aggregate [min unitsInStock, max unitsInStock]

```

### Compilation

This library exposes `prql-python.compile`, so we can simply generate SQL:

```python
import pyprql
pyprql.compile("from artists | select track")
print(pyprql.compile("from artists | select track"))
```

...returns...

```sql
SELECT
  track
FROM
  artists
```

For context, `prql-python` is the Python binding for `prql-compiler`, so only
contains functions for compilation; and this library offers broader python
integrations and tooling.

## Support

This project was created by
[@charlie-sanders](https://github.com/charlie-sanders/) &
[@rbpatt2019](https://github.com/rbpatt2019) and is now maintained by the
broader PRQL team.

[prql_docs]: https://prql-lang.org/book

