Python QGraphicsPixmapItem.setPixmap方法代码示例

# 需要导入模块: from PyQt4.QtGui import QGraphicsPixmapItem [as 别名]
# 或者: from PyQt4.QtGui.QGraphicsPixmapItem import setPixmap [as 别名]
class EditLinksNode(QGraphicsWidget):
    """
    A Node representation with channel anchors.

    `direction` specifies the layout (default `Qt.LeftToRight` will
    have icon on the left and channels on the right).

    """

    def __init__(self, parent=None, direction=Qt.LeftToRight,
                 node=None, icon=None, iconSize=None, **args):
        QGraphicsWidget.__init__(self, parent, **args)
        self.setAcceptedMouseButtons(Qt.NoButton)
        self.__direction = direction

        self.setLayout(QGraphicsLinearLayout(Qt.Horizontal))

        # Set the maximum size, otherwise the layout can't grow beyond its
        # sizeHint (and we need it to grow so the widget can grow and keep the
        # contents centered vertically.
        self.layout().setMaximumSize(QSizeF(QWIDGETSIZE_MAX, QWIDGETSIZE_MAX))

        self.setSizePolicy(QSizePolicy.MinimumExpanding,
                           QSizePolicy.MinimumExpanding)

        self.__iconSize = iconSize or QSize(64, 64)
        self.__icon = icon

        self.__iconItem = QGraphicsPixmapItem(self)
        self.__iconLayoutItem = GraphicsItemLayoutItem(item=self.__iconItem)

        self.__channelLayout = QGraphicsGridLayout()
        self.__channelAnchors = []

        if self.__direction == Qt.LeftToRight:
            self.layout().addItem(self.__iconLayoutItem)
            self.layout().addItem(self.__channelLayout)
            channel_alignemnt = Qt.AlignRight

        else:
            self.layout().addItem(self.__channelLayout)
            self.layout().addItem(self.__iconLayoutItem)
            channel_alignemnt = Qt.AlignLeft

        self.layout().setAlignment(self.__iconLayoutItem, Qt.AlignCenter)
        self.layout().setAlignment(self.__channelLayout,
                                   Qt.AlignVCenter | channel_alignemnt)

        if node is not None:
            self.setSchemeNode(node)

    def setIconSize(self, size):
        """
        Set the icon size for the node.
        """
        if size != self.__iconSize:
            self.__iconSize = QSize(size)
            if self.__icon:
                self.__iconItem.setPixmap(self.__icon.pixmap(size))
                self.__iconLayoutItem.updateGeometry()

    def iconSize(self):
        """
        Return the icon size.
        """
        return QSize(self.__iconSize)

    def setIcon(self, icon):
        """
        Set the icon to display.
        """
        if icon != self.__icon:
            self.__icon = QIcon(icon)
            self.__iconItem.setPixmap(icon.pixmap(self.iconSize()))
            self.__iconLayoutItem.updateGeometry()

    def icon(self):
        """
        Return the icon.
        """
        return QIcon(self.__icon)

    def setSchemeNode(self, node):
        """
        Set an instance of `SchemeNode`. The widget will be initialized
        with its icon and channels.

        """
        self.node = node

        if self.__direction == Qt.LeftToRight:
            channels = node.output_channels()
        else:
            channels = node.input_channels()
        self.channels = channels

        loader = icon_loader.from_description(node.description)
        icon = loader.get(node.description.icon)

        self.setIcon(icon)
#.........这里部分代码省略.........

# 需要导入模块: from PyQt4.QtGui import QGraphicsPixmapItem [as 别名]
# 或者: from PyQt4.QtGui.QGraphicsPixmapItem import setPixmap [as 别名]
class ProbabilitiesItem(orangeqt.PlotItem):
    """
        Displays class probabilities in the background

        :param classifier: The classifier for which the probabilities are calculated
        :type classifier: orange.P2NN

        :param granularity: The size of individual cells
        :type granularity: int

        :param scale: The data scale factor
        :type scale: float

        :param spacing: The space between cells
        :param spacing: int

        :param rect: The rectangle into which to draw the probabilities. If unspecified, the entire plot is used.
        :type rect: QRectF
    """

    def __init__(self, classifier, granularity, scale, spacing, rect=None):
        orangeqt.PlotItem.__init__(self)
        self.classifier = classifier
        self.rect = rect
        self.granularity = granularity
        self.scale = scale
        self.spacing = spacing
        self.pixmap_item = QGraphicsPixmapItem(self)
        self.set_in_background(True)
        self.setZValue(ProbabilitiesZValue)

    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 isinstance(self.classifier.classVar, ContinuousVariable):
            imagebmp = orangeom.potentialsBitmap(self.classifier, rx, ry, ox, oy, self.granularity, self.scale)
            palette = [qRgb(255.0 * i / 255.0, 255.0 * i / 255.0, 255 - (255.0 * i / 255.0)) 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(ColorPaletteDlg.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 data_rect(self):
        return self.rect if self.rect else QRectF()