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Python QwtPlot.setAxisScaleEngine方法代码示例

本文整理汇总了Python中PyQt4.Qwt5.QwtPlot.setAxisScaleEngine方法的典型用法代码示例。如果您正苦于以下问题:Python QwtPlot.setAxisScaleEngine方法的具体用法?Python QwtPlot.setAxisScaleEngine怎么用?Python QwtPlot.setAxisScaleEngine使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在PyQt4.Qwt5.QwtPlot的用法示例。


在下文中一共展示了QwtPlot.setAxisScaleEngine方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: ImageControlDialog

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

#.........这里部分代码省略.........
        except ValueError:
            return
        self._rc.setDisplayRange(*newrange)

    def _setHistDisplayRange(self):
        self._rc.setDisplayRange(*self._hist_range)

    def _updateImageSlice(self, slice):
        for i, (iextra, name, labels) in enumerate(self._rc.slicedAxes()):
            self._wslicers[i].setCurrentIndex(slice[iextra])

    def _changeDisplayRangeToPercent(self, percent):
        busy = BusyIndicator()
        if self._hist is None:
            self._updateHistogram()
            self._updateStats(self._subset, self._subset_range)
        # delta: we need the [delta,100-delta] interval of the total distribution
        delta = self._subset.size * ((100. - percent) / 200.)
        # get F(x): cumulative sum
        cumsum = numpy.zeros(len(self._hist_hires) + 1, dtype=int)
        cumsum[1:] = numpy.cumsum(self._hist_hires)
        bins = numpy.zeros(len(self._hist_hires) + 1, dtype=float)
        bins[0] = self._subset_range[0]
        bins[1:] = self._hist_bins_hires + self._hist_binsize_hires / 2
        # use interpolation to find value interval corresponding to [delta,100-delta] of the distribution
        dprint(2, self._subset.size, delta, self._subset.size - delta)
        dprint(2, cumsum, self._hist_bins_hires)
        # if first bin is already > delta, then set colour range to first bin
        x0, x1 = numpy.interp([delta, self._subset.size - delta], cumsum, bins)
        # and change the display range (this will also cause a histplot.replot() via _updateDisplayRange above)
        self._rc.setDisplayRange(x0, x1)

    def _setZeroLeftLimit(self):
        self._rc.setDisplayRange(0., self._rc.displayRange()[1])

    def _selectLowLimit(self, pos):
        self._rc.setDisplayRange(pos.x(), self._rc.displayRange()[1])

    def _selectHighLimit(self, pos):
        self._rc.setDisplayRange(self._rc.displayRange()[0], pos.x())

    def _unzoomHistogram(self):
        self._updateHistogram()
        self._histplot.replot()

    def _zoomHistogramByFactor(self, factor):
        """Changes histogram limits by specified factor"""
        # get max distance of plot limit from peak
        dprint(1, "zooming histogram by", factor)
        halfdist = (self._hist_range[1] - self._hist_range[0]) / (factor * 2)
        self._updateHistogram(self._hist_peak - halfdist, self._hist_peak + halfdist)
        self._histplot.replot()

    def _zoomHistogramIntoRect(self, rect):
        hmin, hmax = rect.bottomLeft().x(), rect.bottomRight().x()
        if hmax > hmin:
            self._updateHistogram(rect.bottomLeft().x(), rect.bottomRight().x())
            self._histplot.replot()

    def _zoomHistogramPreview(self, value):
        dprint(2, "wheel moved to", value)
        self._zoomHistogramFinalize(value, preview=True)
        self._whistzoom_timer.start()

    def _zoomHistogramFinalize(self, value=None, preview=False):
        if self._zooming_histogram:
            return
        self._zooming_histogram = True
        try:
            if value is not None:
                dmin, dmax = self._subset_range
                dist = max(dmax - self._hist_peak, self._hist_peak - dmin) / 10 ** value
                self._preview_hist_range = max(self._hist_peak - dist, dmin), min(self._hist_peak + dist, dmax)
            if preview:
                self._histplot.setAxisScale(QwtPlot.xBottom, *self._preview_hist_range)
            else:
                dprint(2, "wheel finalized at", value)
                self._whistzoom_timer.stop()
                self._updateHistogram(*self._preview_hist_range)
            self._histplot.replot()
        finally:
            self._zooming_histogram = False

    def _setHistLogScale(self, logscale, replot=True):
        self._ylogscale = logscale
        if logscale:
            self._histplot.setAxisScaleEngine(QwtPlot.yLeft, QwtLog10ScaleEngine())
            ymax = max(1, self._hist_max)
            self._histplot.setAxisScale(QwtPlot.yLeft, 1, 10 ** (math.log10(ymax) * (1 + self.ColorBarHeight)))
            y = self._hist.copy()
            y[y == 0] = 1
            self._histcurve1.setData(self._hist_bins, y)
            self._histcurve2.setData(self._hist_bins, y)
        else:
            self._histplot.setAxisScaleEngine(QwtPlot.yLeft, QwtLinearScaleEngine())
            self._histplot.setAxisScale(QwtPlot.yLeft, 0, self._hist_max * (1 + self.ColorBarHeight))
            self._histcurve1.setData(self._hist_bins, self._hist)
            self._histcurve2.setData(self._hist_bins, self._hist)
        if replot:
            self._histplot.replot()
开发者ID:ska-sa,项目名称:tigger,代码行数:104,代码来源:ControlDialog.py


注:本文中的PyQt4.Qwt5.QwtPlot.setAxisScaleEngine方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。