def computePotentials(self):
import orangeom
#rx = self.transform(xBottom, 1) - self.transform(xBottom, 0)
#ry = self.transform(yLeft, 0) - self.transform(yLeft, 1)
rx = self.transform(xBottom, 1) - self.transform(xBottom, -1)
ry = self.transform(yLeft, -1) - self.transform(yLeft, 1)
ox = self.transform(xBottom, 0) - self.transform(xBottom, -1)
oy = self.transform(yLeft, -1) - self.transform(yLeft, 0)
rx -= rx % self.squareGranularity
ry -= ry % self.squareGranularity
if not getattr(self, "potentialsImage", None) \
or getattr(self, "potentialContext", None) != (rx, ry, self.shownAttributes, self.trueScaleFactor, self.squareGranularity, self.jitterSize, self.jitterContinuous, self.spaceBetweenCells):
if self.potentialsClassifier.classVar.varType == orange.VarTypes.Continuous:
imagebmp = orangeom.potentialsBitmap(self.potentialsClassifier, rx, ry, ox, oy, self.squareGranularity, self.trueScaleFactor/2, self.spaceBetweenCells)
palette = [qRgb(255.*i/255., 255.*i/255., 255-(255.*i/255.)) for i in range(255)] + [qRgb(255, 255, 255)]
else:
imagebmp, nShades = orangeom.potentialsBitmap(self.potentialsClassifier, rx, ry, ox, oy, self.squareGranularity, self.trueScaleFactor/2, self.spaceBetweenCells) # the last argument is self.trueScaleFactor (in LinProjGraph...)
palette = []
sortedClasses = getVariableValuesSorted(self.potentialsClassifier.domain.classVar)
for cls in self.potentialsClassifier.classVar.values:
color = self.discPalette.getRGB(sortedClasses.index(cls))
towhite = [255-c for c in color]
for s in range(nShades):
si = 1-float(s)/nShades
palette.append(qRgb(*tuple([color[i]+towhite[i]*si for i in (0, 1, 2)])))
palette.extend([qRgb(255, 255, 255) for i in range(256-len(palette))])
self.potentialsImage = QImage(imagebmp, rx, ry, QImage.Format_Indexed8)
self.potentialsImage.setColorTable(OWColorPalette.signedPalette(palette) if qVersion() < "4.5" else palette)
self.potentialsImage.setNumColors(256)
self.potentialContext = (rx, ry, self.shownAttributes, self.trueScaleFactor, self.squareGranularity, self.jitterSize, self.jitterContinuous, self.spaceBetweenCells)
self.potentialsImageFromClassifier = self.potentialsClassifier
def computePotentials(self):
import orangeom
#rx = self.transform(QwtPlot.xBottom, 1) - self.transform(QwtPlot.xBottom, 0)
#ry = self.transform(QwtPlot.yLeft, 0) - self.transform(QwtPlot.yLeft, 1)
rx = self.transform(QwtPlot.xBottom, 1) - self.transform(QwtPlot.xBottom, -1)
ry = self.transform(QwtPlot.yLeft, -1) - self.transform(QwtPlot.yLeft, 1)
ox = self.transform(QwtPlot.xBottom, 0) - self.transform(QwtPlot.xBottom, -1)
oy = self.transform(QwtPlot.yLeft, -1) - self.transform(QwtPlot.yLeft, 0)
rx -= rx % self.squareGranularity
ry -= ry % self.squareGranularity
if not getattr(self, "potentialsImage", None) \
or getattr(self, "potentialContext", None) != (rx, ry, self.shownAttributes, self.trueScaleFactor, self.squareGranularity, self.jitterSize, self.jitterContinuous, self.spaceBetweenCells):
if self.potentialsClassifier.classVar.varType == orange.VarTypes.Continuous:
imagebmp = orangeom.potentialsBitmap(self.potentialsClassifier, rx, ry, ox, oy, self.squareGranularity, self.trueScaleFactor/2, self.spaceBetweenCells)
palette = [qRgb(255.*i/255., 255.*i/255., 255-(255.*i/255.)) for i in range(255)] + [qRgb(255, 255, 255)]
else:
imagebmp, nShades = orangeom.potentialsBitmap(self.potentialsClassifier, rx, ry, ox, oy, self.squareGranularity, self.trueScaleFactor/2, self.spaceBetweenCells) # the last argument is self.trueScaleFactor (in LinProjGraph...)
palette = []
sortedClasses = getVariableValuesSorted(self.potentialsClassifier.domain.classVar)
for cls in self.potentialsClassifier.classVar.values:
color = self.discPalette.getRGB(sortedClasses.index(cls))
towhite = [255-c for c in color]
for s in range(nShades):
si = 1-float(s)/nShades
palette.append(qRgb(*tuple([color[i]+towhite[i]*si for i in (0, 1, 2)])))
palette.extend([qRgb(255, 255, 255) for i in range(256-len(palette))])
self.potentialsImage = QImage(imagebmp, rx, ry, QImage.Format_Indexed8)
self.potentialsImage.setColorTable(OWColorPalette.signedPalette(palette))
self.potentialsImage.setNumColors(256)
self.potentialContext = (rx, ry, self.shownAttributes, self.trueScaleFactor, self.squareGranularity, self.jitterSize, self.jitterContinuous, self.spaceBetweenCells)
def update_properties(self):
## Mostly copied from OWScatterPlotGraph
if not self.plot():
return
if not self.rect:
x, y = self.axes()
self.rect = self.plot().data_rect_for_axes(x, y)
s = self.graph_transform().mapRect(self.rect).size().toSize()
if not s.isValid():
return
rx = s.width()
ry = s.height()
rx -= rx % self.granularity
ry -= ry % self.granularity
p = self.graph_transform().map(QPointF(
0, 0)) - self.graph_transform().map(self.rect.topLeft())
p = p.toPoint()
ox = p.x()
oy = -p.y()
if self.classifier.classVar.varType == orange.VarTypes.Continuous:
imagebmp = orangeom.potentialsBitmap(self.classifier, rx, ry, ox,
oy, self.granularity,
self.scale)
palette = [
qRgb(255. * i / 255., 255. * i / 255., 255 - (255. * i / 255.))
for i in range(255)
] + [qRgb(255, 255, 255)]
else:
imagebmp, nShades = orangeom.potentialsBitmap(
self.classifier, rx, ry, ox, oy, self.granularity, self.scale,
self.spacing)
palette = []
sortedClasses = get_variable_values_sorted(
self.classifier.domain.classVar)
for cls in self.classifier.classVar.values:
color = self.plot().discPalette.getRGB(
sortedClasses.index(cls))
towhite = [255 - c for c in color]
for s in range(nShades):
si = 1 - float(s) / nShades
palette.append(
qRgb(*tuple(
[color[i] + towhite[i] * si for i in (0, 1, 2)])))
palette.extend(
[qRgb(255, 255, 255) for i in range(256 - len(palette))])
self.potentialsImage = QImage(imagebmp, rx, ry, QImage.Format_Indexed8)
self.potentialsImage.setColorTable(
ColorPalette.signedPalette(palette
) if qVersion() < "4.5" else palette)
self.potentialsImage.setNumColors(256)
self.pixmap_item.setPixmap(QPixmap.fromImage(self.potentialsImage))
self.pixmap_item.setPos(self.graph_transform().map(
self.rect.bottomLeft()))
def update_properties(self):
## Mostly copied from OWScatterPlotGraph
if not self.plot():
return
if not self.rect:
x,y = self.axes()
self.rect = self.plot().data_rect_for_axes(x,y)
s = self.graph_transform().mapRect(self.rect).size().toSize()
if not s.isValid():
return
rx = s.width()
ry = s.height()
rx -= rx % self.granularity
ry -= ry % self.granularity
p = self.graph_transform().map(QPointF(0, 0)) - self.graph_transform().map(self.rect.topLeft())
p = p.toPoint()
ox = p.x()
oy = -p.y()
if self.classifier.classVar.varType == orange.VarTypes.Continuous:
imagebmp = orangeom.potentialsBitmap(self.classifier, rx, ry, ox, oy, self.granularity, self.scale)
palette = [qRgb(255.*i/255., 255.*i/255., 255-(255.*i/255.)) for i in range(255)] + [qRgb(255, 255, 255)]
else:
imagebmp, nShades = orangeom.potentialsBitmap(self.classifier, rx, ry, ox, oy, self.granularity, self.scale, self.spacing)
palette = []
sortedClasses = get_variable_values_sorted(self.classifier.domain.classVar)
for cls in self.classifier.classVar.values:
color = self.plot().discPalette.getRGB(sortedClasses.index(cls))
towhite = [255-c for c in color]
for s in range(nShades):
si = 1-float(s)/nShades
palette.append(qRgb(*tuple([color[i]+towhite[i]*si for i in (0, 1, 2)])))
palette.extend([qRgb(255, 255, 255) for i in range(256-len(palette))])
self.potentialsImage = QImage(imagebmp, rx, ry, QImage.Format_Indexed8)
self.potentialsImage.setColorTable(ColorPalette.signedPalette(palette) if qVersion() < "4.5" else palette)
self.potentialsImage.setNumColors(256)
self.pixmap_item.setPixmap(QPixmap.fromImage(self.potentialsImage))
self.pixmap_item.setPos(self.graph_transform().map(self.rect.bottomLeft()))
