def createDiagram(source, quality):
ds, featuresNames = labanUtil.getPybrainDataSet(source)
X, Y = labanUtil.fromDStoXY(ds)
qualities, combinations = cp.getCombinations()
y = Y[qualities.index(quality)]
fileName = source+quality
ig.createDiagram(X, y, featuresNames, fileName)
import Orange
print Orange.version.version
import LabanUtils.combinationsParser as cp
import numpy as np
import LabanLib.LabanUtils.util as labanUtil
qualities, combinations = cp.getCombinations()
source = 'Rachelle'
ds, featuresNames = labanUtil.getPybrainDataSet(source)
X, Y = labanUtil.fromDStoXY(ds)
Y = [str(e) for y in Y for e in y]
print Y
features = [Orange.feature.Continuous(f) for f in featuresNames]
for q in qualities:
features.append(Orange.feature.Discrete(q, values=['0','1']))
print features
Domain = Orange.data.Domain(features)
print X.shape, Y.shape
whole = np.concatenate((X,Y), axis=1)
print whole.shape
Table = Orange.data.Table(Domain, whole)
Table.save(source+'.tab')
"""
for x, y in zip(X, Y):
List, Of, Column, Variables =
[Orange.feature.Continuous(x) for x in ['What','Theyre','Called','AsStrings']]