jugri 0.5.0

# JUGRI

The JUpyter-GRemlin Interface.
The Gremlinpython package is easy to use to
create queries against any property graph
that supports the Tinkerpop interface.
However, parsing the gremlin results is more complex
as the returned list can contain many objects.
The JUGRI package will help the developer by providing
an easy to use interface to convert these results into
the widely used Pandas DataFrame.

More features are on their way...

## Requirements

Tested on Python 3.7
- gremlinpython
- pandas

## Install/update

### Install from PyPI (the usual way)

`pip install --user --upgrade jugri`

### Install from source

`pip install --user --upgrade -e [e-mail]:meltwater/jugri.git#egg=jugri`

or (using https)

`pip install --user --upgrade -e git+https://github.com/meltwater/jugri.git#egg=jugri`

## Usage

Convert Gremlin query results to a Pandas DataFrame:
```
import jugri
from gremlin_python.structure.graph import Graph

graph = Graph()
g = graph.traversal()

df = jugri.to_df(g.V().valueMap(True).limit(10))

# df is a Pandas DataFrame with the results of the query.
```

You can find a [Jupyter notebook example](https://github.com/meltwater/jugri/blob/master/example/Pandification.ipynb)
in the `/example` folder.

## Uninstall

`pip uninstall jugri`


Home-page: https://github.com/meltwater/jugri
Author: Laszlo Velinszky
Author-email: [e-mail]
License: ASL2
Description: UNKNOWN
Platform: UNKNOWN