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A Python client library for the Lightning data visualization server

Project description

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Lightning python client

Python client for the [lightning]( API

## installation
Install using:

pip install lightning-python
Compatible with Python 2.7 and 3.4.

## usage

### creating a session

from lightning import Lightning

lgn = Lightning(host="")

lgn.create_session("provide an optional session name")

### creating a visualization
Methods are available for the default visualization types included with Lightning

### setting options
Visualizations can be customized through optional parameters
lgn.scatter([1,2,3],[2,9,4], label=[1,2,3], size=[5,10,20])
### using custom plots
For custom plots not included with the default set, specify by name and provide data as a dictionary
lgn.plot(data={"series": [1,2,3]}, type='line')

## examples

See a collection of [IPython notebooks](

## complete documentation

Available [here](

## running tests

Requires [pytest](

Clone the repo and install the library locally:

$ pip install -e .

The tests need to be run against a lightning server. By default they expect
this to be found at `http://localhost:3000`.

To run the tests:

$ py.test

or with against a custom host url

$ py.test --host=

## help

We maintain a [chatroom]( on gitter. If there's no response there: file an issue or reach out on twitter ([@mathisonian](, [@thefreemanlab](

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