Python QColor.setAlphaF方法代码示例

# 需要导入模块: from AnyQt.QtGui import QColor [as 别名]
# 或者: from AnyQt.QtGui.QColor import setAlphaF [as 别名]
    def __init__(self, i, mu1, mu2, sigma1, sigma2, phi, color):
        OWPlotItem.__init__(self)
        self.outer_box = QGraphicsPolygonItem(self)
        self.inner_box = QGraphicsPolygonItem(self)

        self.i = i
        self.mu1 = mu1
        self.mu2 = mu2
        self.sigma1 = sigma1
        self.sigma2 = sigma2
        self.phi = phi

        self.twosigmapolygon = QPolygonF([
            QPointF(i, mu1 - sigma1), QPointF(i, mu1 + sigma1),
            QPointF(i + 1, mu2 + sigma2), QPointF(i + 1, mu2 - sigma2),
            QPointF(i, mu1 - sigma1)
        ])

        self.sigmapolygon = QPolygonF([
            QPointF(i, mu1 - .5 * sigma1), QPointF(i, mu1 + .5 * sigma1),
            QPointF(i + 1, mu2 + .5 * sigma2), QPointF(i + 1, mu2 - .5 * sigma2),
            QPointF(i, mu1 - .5 * sigma1)
        ])

        if isinstance(color, tuple):
            color = QColor(*color)
        color.setAlphaF(.3)
        self.outer_box.setBrush(color)
        self.outer_box.setPen(QColor(0, 0, 0, 0))
        self.inner_box.setBrush(color)
        self.inner_box.setPen(color)

# 需要导入模块: from AnyQt.QtGui import QColor [as 别名]
# 或者: from AnyQt.QtGui.QColor import setAlphaF [as 别名]
def refresh_integral_markings(dis, markings_list, curveplot):
    for m in markings_list:
        if m in curveplot.markings:
            curveplot.remove_marking(m)
    markings_list.clear()

    def add_marking(a):
        markings_list.append(a)
        curveplot.add_marking(a)

    for di in dis:

        if di is None:
            continue  # nothing to draw

        color = QColor(di.get("color", "red"))

        for el in di["draw"]:

            if el[0] == "curve":
                bs_x, bs_ys, penargs = el[1]
                curve = pg.PlotCurveItem()
                curve.setPen(pg.mkPen(color=QColor(color), **penargs))
                curve.setZValue(10)
                curve.setData(x=bs_x, y=bs_ys[0])
                add_marking(curve)

            elif el[0] == "fill":
                (x1, ys1), (x2, ys2) = el[1]
                phigh = pg.PlotCurveItem(x1, ys1[0], pen=None)
                plow = pg.PlotCurveItem(x2, ys2[0], pen=None)
                color = QColor(color)
                color.setAlphaF(0.5)
                cc = pg.mkBrush(color)
                pfill = pg.FillBetweenItem(plow, phigh, brush=cc)
                pfill.setZValue(9)
                add_marking(pfill)

            elif el[0] == "line":
                (x1, y1), (x2, y2) = el[1]
                line = pg.PlotCurveItem()
                line.setPen(pg.mkPen(color=QColor(color), width=4))
                line.setZValue(10)
                line.setData(x=[x1[0], x2[0]], y=[y1[0], y2[0]])
                add_marking(line)

            elif el[0] == "dot":
                (x, ys) = el[1]
                dot = pg.ScatterPlotItem(x=x, y=ys[0])
                dot.setPen(pg.mkPen(color=QColor(color), width=5))
                dot.setZValue(10)
                add_marking(dot)

# 需要导入模块: from AnyQt.QtGui import QColor [as 别名]
# 或者: from AnyQt.QtGui.QColor import setAlphaF [as 别名]
    def display_contingency(self):
        """
        Set the contingency to display.
        """
        cont = self.contingencies
        var, cvar = self.var, self.cvar
        if cont is None or not len(cont):
            return
        self.plot.clear()
        self.plot_prob.clear()
        self._legend.clear()
        self.tooltip_items = []

        if self.show_prob:
            self.ploti.showAxis('right')
        else:
            self.ploti.hideAxis('right')

        bottomaxis = self.ploti.getAxis("bottom")
        bottomaxis.setLabel(var.name)
        bottomaxis.resizeEvent()

        cvar_values = cvar.values
        colors = [QColor(*col) for col in cvar.colors]

        if var and var.is_continuous:
            bottomaxis.setTicks(None)

            weights, cols, cvar_values, curves = [], [], [], []
            for i, dist in enumerate(cont):
                v, W = dist
                if len(v):
                    weights.append(numpy.sum(W))
                    cols.append(colors[i])
                    cvar_values.append(cvar.values[i])
                    curves.append(ash_curve(
                        dist, cont, m=OWDistributions.ASH_HIST,
                        smoothing_factor=self.smoothing_factor))
            weights = numpy.array(weights)
            sumw = numpy.sum(weights)
            weights /= sumw
            colors = cols
            curves = [(X, Y * w) for (X, Y), w in zip(curves, weights)]

            curvesline = [] #from histograms to lines
            for X, Y in curves:
                X = X + (X[1] - X[0])/2
                X = X[:-1]
                X = numpy.array(X)
                Y = numpy.array(Y)
                curvesline.append((X, Y))

            for t in ["fill", "line"]:
                curve_data = list(zip(curvesline, colors, weights, cvar_values))
                for (X, Y), color, w, cval in reversed(curve_data):
                    item = pg.PlotCurveItem()
                    pen = QPen(QBrush(color), 3)
                    pen.setCosmetic(True)
                    color = QColor(color)
                    color.setAlphaF(0.2)
                    item.setData(X, Y/(w if self.relative_freq else 1),
                                 antialias=True, stepMode=False,
                                 fillLevel=0 if t == "fill" else None,
                                 brush=QBrush(color), pen=pen)
                    self.plot.addItem(item)
                    if t == "line":
                        item.tooltip = "{}\n{}={}".format(
                            "Normalized density " if self.relative_freq else "Density ",
                            cvar.name, cval)
                        self.tooltip_items.append((self.plot, item))

            if self.show_prob:
                all_X = numpy.array(numpy.unique(numpy.hstack([X for X, _ in curvesline])))
                inter_X = numpy.array(numpy.linspace(all_X[0], all_X[-1], len(all_X)*2))
                curvesinterp = [numpy.interp(inter_X, X, Y) for (X, Y) in curvesline]
                sumprob = numpy.sum(curvesinterp, axis=0)
                legal = sumprob > 0.05 * numpy.max(sumprob)

                i = len(curvesinterp) + 1
                show_all = self.show_prob == i
                for Y, color, cval in reversed(list(zip(curvesinterp, colors, cvar_values))):
                    i -= 1
                    if show_all or self.show_prob == i:
                        item = pg.PlotCurveItem()
                        pen = QPen(QBrush(color), 3, style=Qt.DotLine)
                        pen.setCosmetic(True)
                        prob = Y[legal] / sumprob[legal]
                        item.setData(
                            inter_X[legal], prob, antialias=True, stepMode=False,
                            fillLevel=None, brush=None, pen=pen)
                        self.plot_prob.addItem(item)
                        item.tooltip = "Probability that \n" + cvar.name + "=" + cval
                        self.tooltip_items.append((self.plot_prob, item))

        elif var and var.is_discrete:
            bottomaxis.setTicks([list(enumerate(var.values))])

            cont = numpy.array(cont)

            maxh = 0 #maximal column height
#.........这里部分代码省略.........