pive 0.2.1

Interactive visualization tool

=========
Python Interactive Visualization Environment
=========

CURRENT ISSUES:
The Python3 Version wont work due to unresolved path issues outside the development environment. Needs more investigation. Use Python 2.7 instead.

Pive is a template based visualization tool utilizing D3.js to
create interactive visualizations on the fly.

(alternative titles: *p-ive* or preferably **pive**)

python-ive
[ˈpaiθən-ˈaivi]

current version: 0.2.1


Common usage is shown in an example:

#!/usr/bin/env python
import pive.environment as environment
from pive import inputmanager as im

# Assuming you have a testdata.json file with some datapoints
# in the same directory. Try to create JSON-Objekts as Key/Value
# pairs or use a JSON formatted String Object. CSV is also
# supported.
input_path = 'testdata.json'

###########################
### Basic usage of pive ###
###########################
# 1)Set up the environment by creating the input manager and
# passing it to an environment.
manager = im.InputManager(mergedata=False)
vizenv = environment.Environment(inputmanager=manager)

# 2) Load your dataset into the environment to get a
# list of supported visualizations.
suitable_charts = vizenv.load(input_path)


# 3) Choose a chart from this list and manipulate
# the visualization object.
mychart = vizenv.choose(suitable_charts[0])

mychart.setWidth(900)
mychart.setHeight(500)

# 4) Let the environment render the chart.
vizenv.render(mychart)



Example data (json-file):

[
{
"x": 1,
"y1": 12,
"y2": 3
},
{
"x": 2,
"y1": 10,
"y2": 9
},
{
"x": 3,
"y1": 34,
"y2": 42
}
]

For more information visit `<http://www.python-ive.org>` - coming soon - or visit https://github.com/daboth/pive