Python QwtPlot.replot方法代码示例

# 需要导入模块: from PyQt4.Qwt5 import QwtPlot [as 别名]
# 或者: from PyQt4.Qwt5.QwtPlot import replot [as 别名]
app = QtGui.QApplication(sys.argv)

p = QwtPlot()


curve = QwtPlotCurve("Segon i tal")


fn = resDir + '/' + data
f = file(fn)
v = pickle.load(f)


y = v
x = range(len(y))

curve.setData(x, y)

curve.attach(p)

p.replot()

p.show()

sys.exit(app.exec_())

# 需要导入模块: from PyQt4.Qwt5 import QwtPlot [as 别名]
# 或者: from PyQt4.Qwt5.QwtPlot import replot [as 别名]

#.........这里部分代码省略.........
        if hmin is None:
            hmin, hmax = hmin0, hmax0
            # downsample to low-res histogram
            self._hist = self._hist_hires.reshape((self.NumHistBins, self.NumHistBinsHi / self.NumHistBins)).sum(1)
        else:
            # zoomed-in low-res histogram
            # bracket limits at subset range
            hmin, hmax = max(hmin, dmin), min(hmax, dmax)
            if hmin >= hmax:
                hmax = hmin + 1
            dprint(1, "computing histogram for", self._subset.shape, self._subset.dtype, hmin, hmax)
            self._hist = measurements.histogram(subset, hmin, hmax, self.NumHistBins, labels=mask,
                                                index=None if mask is None else False)
        dprint(1, "histogram computed")
        # compute bins
        self._itf_bins = hmin + (hmax - hmin) * (numpy.arange(self.NumItfBins)) / (float(self.NumItfBins) - 1)
        self._hist_bins = hmin + (hmax - hmin) * (numpy.arange(self.NumHistBins) + 0.5) / float(self.NumHistBins)
        # histogram range and position of peak
        self._hist_range = hmin, hmax
        self._hist_min, self._hist_max, self._hist_imin, self._hist_imax = measurements.extrema(self._hist)
        self._hist_peak = self._hist_bins[self._hist_imax]
        # set controls accordingly
        if dmin >= dmax:
            dmax = dmin + 1
        zoom = math.log10((dmax - dmin) / (hmax - hmin))
        self._whistzoom.setValue(zoom)
        self._whistunzoom.setEnabled(zoom > 0)
        self._whistzoomout.setEnabled(zoom > 0)
        # reset scales
        self._histplot.setAxisScale(QwtPlot.xBottom, hmin, hmax)
        self._histplot.setAxisScale(QwtPlot.yRight, 0, 1 + self.ColorBarHeight)
        # update curves
        # call _setHistLogScale() (with current setting) to update axis scales and set data
        self._setHistLogScale(self._ylogscale, replot=False)
        # set plot lines
        self._line_0.line.setData([0, 0], [0, 1])
        self._line_0.marker.setValue(0, 0)
        self._line_maxbin.line.setData([self._hist_peak, self._hist_peak], [0, 1])
        self._line_maxbin.marker.setValue(self._hist_peak, 0)
        self._line_maxbin.setText(("max bin:" + DataValueFormat) % self._hist_peak)
        # set half-max line
        self._line_halfmax.line.setData(self._hist_range, [self._hist_max / 2, self._hist_max / 2])
        self._line_halfmax.marker.setValue(hmin, self._hist_max / 2)
        # update ITF
        self._updateITF()

    def _updateStats(self, subset, minmax):
        """Recomputes subset statistics."""
        if subset.size <= (2048 * 2048):
            self._showMeanStd(busy=False)
        else:
            self._wlab_stats.setText(
                ("min: %s  max: %s  np: %d" % (DataValueFormat, DataValueFormat, self._subset.size)) % minmax)
            self._wmore_stats.show()

    def _updateDataSubset(self, subset, minmax, desc, subset_type):
        """Called when the displayed data subset is changed. Updates the histogram."""
        self._subset = subset
        self._subset_range = minmax
        self._wlab_subset.setText("Subset: %s" % desc)
        self._hist = self._hist_hires = None
        self._wreset_full.setVisible(subset_type is not RenderControl.SUBSET_FULL)
        self._wreset_slice and self._wreset_slice.setVisible(subset_type is not RenderControl.SUBSET_SLICE)
        # hide the mean/std markers, they will only be shown when _showMeanStd() is called
        self._line_mean.hide()
        self._line_std.hide()

# 需要导入模块: from PyQt4.Qwt5 import QwtPlot [as 别名]
# 或者: from PyQt4.Qwt5.QwtPlot import replot [as 别名]
class qwtchart(chart):
    colours = {'red'    : Qt.red,
               'green'  : Qt.green,
               'blue'   : Qt.blue,
               'yellow' : Qt.yellow,
               'magenta': Qt.magenta,
               'black'  : Qt.black}
    styles = {'-' : Qt.SolidLine,
              '--': Qt.DashLine,
              ':' : Qt.DotLine,
              '-.': Qt.DashDotLine}

    def getPen(self, colour, style):
        return QPen(self.colours[colour], 1, self.styles[style])

    def __init__(self, spurset, fef, parent):
        chart.__init__(self, spurset, fef, parent)
        self.plot = QwtPlot(parent)

        self.plot.setAxisScale(xaxis, self.spurset.RFmin,
                               self.spurset.RFmax)
        self.plot.setAxisScale(yaxis, -self.spurset.dspan/2,
                               self.spurset.dspan/2)

        self.plot.setCanvasBackground(Qt.white)
        grid = QwtPlotGrid()
        grid.setMajPen(QPen(Qt.black, 1, Qt.DotLine))
        grid.attach(self.plot)

        self.plot.insertLegend(QwtLegend(self.parent), QwtPlot.ExternalLegend)

        # a picker to be used for the front-end filter parallelogram
        self.picker = QwtPlotPicker(xaxis, yaxis,
                                    QwtPicker.PointSelection,
                                    QwtPlotPicker.NoRubberBand,
                                    QwtPicker.AlwaysOff,
                                    self.plot.canvas())
        # gonna need this to implement ondrop()
        self._mouseRelease = self.picker.widgetMouseReleaseEvent
        self._picked_obj = None

        self.picker.connect(self.picker, SIGNAL('appended(const QPoint&)'),
                            self.onpick)
        self.picker.connect(self.picker, SIGNAL('moved(const QPoint&)'),
                            self.ondrag)
        # all about the monkey-patching
        self.picker.widgetMouseReleaseEvent = self.ondrop

    def redraw(self):
        xscale = self.plot.axisScaleDiv(xaxis)
        yscale = self.plot.axisScaleDiv(yaxis)
        #TODO check if it hurts to just set the scales every time, as in mpl
        if (xscale.lowerBound() != self.spurset.RFmin or
            xscale.upperBound() != self.spurset.RFmax):
            self.plot.setAxisScale(xaxis, self.spurset.RFmin,
                                   self.spurset.RFmax)
        if (yscale.lowerBound() != -self.spurset.dspan/2 or
            yscale.upperBound() != self.spurset.dspan/2):
            self.plot.setAxisScale(yaxis, -self.spurset.dspan/2,
                                   self.spurset.dspan/2)
        self.plot.replot()

    def mkline(self, xdata, ydata, style=('black','-'), title=''):
        line = QwtPlotCurve(title)
        if title is '':
            # don't display it in the legend
            # kind of ugly, that the title variable is doing double duty
            line.setItemAttribute(QwtPlotItem.Legend, False)
        pen = self.getPen(*style)
        line.setPen(pen)
        line.setRenderHint(QwtPlotItem.RenderAntialiased)
        line.setData(xdata, ydata)
        return line

    def add_line(self, line):
        line.attach(self.plot)

    def del_line(self, line):
        line.detach()

    def legend(self):
        return self.plot.legend()

    def _xval(self, pos):
        # from a QPoint referring to a pixel on the plot, find the x value
        return self.plot.invTransform(xaxis, pos.x())

    def _yval(self, pos):
        # from a QPoint referring to a pixel on the plot, find the y value
        return self.plot.invTransform(yaxis, pos.y())

    def onpick(self, pos):
        # for now, we only worry about picking the two vertical lines of the
        # front-end filter parallelogram. Other clicks are no-ops.
        if abs(pos.x() - self.plot.transform(xaxis, self.fef.start)) <= 10:
            # TODO check pos.y() as well
            self._picked_obj = self.fef.startline
            self.pick(self.fef.startline, self._xval(pos), self._yval(pos))
        elif abs(pos.x() - self.plot.transform(xaxis, self.fef.stop)) <= 10:
            self._picked_obj  = self.fef.stopline
#.........这里部分代码省略.........