def __init__(self, parent=None, title='', folderpath=None):
super(dialog, self).__init__(parent)
plotw = plotwidget(self)
ax = plotw.axes
intervs = 20
compsint = [[b, c, (intervs - a - b - c), a]
for a in numpy.arange(0, intervs + 1)[::-1]
for b in numpy.arange(0, intervs + 1 - a)
for c in numpy.arange(0, intervs + 1 - a - b)][::-1]
print len(compsint)
comps = numpy.float32(compsint) / intervs
pylab.figure()
stpquat = QuaternaryPlot(111)
cols = stpquat.rgb_comp(comps)
stpquat.scatter(comps, c=cols, s=100, edgecolors='none')
stpquat.label()
self.tf = ternaryfaces_folded(ax, nintervals=intervs)
self.tf.label()
self.tf.scatter(comps, cols, s='patch')
QObject.connect(plotw, SIGNAL("genericclickonplot"), self.plotclick)
mainlayout = QGridLayout()
mainlayout.addWidget(plotw, 0, 0)
self.setLayout(mainlayout)
def __init__(self, parent=None, title='', folderpath=None):
super(dialog, self).__init__(parent)
plotw=plotwidget(self)
ax=plotw.axes
intervs=20
compsint=[[b, c, (intervs-a-b-c), a] for a in numpy.arange(0,intervs+1)[::-1] for b in numpy.arange(0,intervs+1-a) for c in numpy.arange(0,intervs+1-a-b)][::-1]
print len(compsint)
comps=numpy.float32(compsint)/intervs
pylab.figure()
stpquat=QuaternaryPlot(111)
cols=stpquat.rgb_comp(comps)
stpquat.scatter(comps, c=cols, s=100, edgecolors='none')
stpquat.label()
self.tf=ternaryfaces_folded(ax, nintervals=intervs)
self.tf.label()
self.tf.scatter(comps, cols, s='patch')
QObject.connect(plotw, SIGNAL("genericclickonplot"), self.plotclick)
mainlayout=QGridLayout()
mainlayout.addWidget(plotw, 0, 0)
self.setLayout(mainlayout)
import pylab
import operator, copy, os
from quaternary_folded_ternaries import ternaryfaces_folded
from myquaternaryutility import QuaternaryPlot
intervs = 10
compsint = [[b, c, (intervs - a - b - c), a]
for a in numpy.arange(0, intervs + 1)[::-1]
for b in numpy.arange(0, intervs + 1 - a)
for c in numpy.arange(0, intervs + 1 - a - b)][::-1]
print len(compsint)
comps = numpy.float32(compsint) / intervs
pylab.figure()
stpquat = QuaternaryPlot(111)
cols = stpquat.rgb_comp(comps)
stpquat.scatter(comps, c=cols, s=100, edgecolors='none')
stpquat.label()
pylab.figure()
ax = pylab.gca()
tf = ternaryfaces_folded(ax, nintervals=intervs)
tf.label()
#inds_x_y=tf.toCart(comps)
tf.scatter(comps, cols, s='patch')
pylab.show()
from myquaternaryutility import QuaternaryPlot intervs=10 compsint=[[b, c, (intervs-a-b-c), a] for a in numpy.arange(0,intervs+1)[::-1] for b in numpy.arange(0,intervs+1-a) for c in numpy.arange(0,intervs+1-a-b)][::-1] print len(compsint) comps=numpy.float32(compsint)/intervs pylab.figure() stpquat=QuaternaryPlot(111) cols=stpquat.rgb_comp(comps) stpquat.scatter(comps, c=cols, s=100, edgecolors='none') stpquat.label() pylab.figure() ax=pylab.gca() tf=ternaryfaces_folded(ax, nintervals=intervs) tf.label() #inds_x_y=tf.toCart(comps) tf.scatter(comps, cols, s='patch') pylab.show()