def autoScale(self, maxSteps, x1, x2): #, stepSize): print "plouf autoScale" if (x1 > x2): y = x2.copy() x2 = x1 x1 = y interval = QwtDoubleInterval(x1 / pow(10.0, lowerMargin()), x2 * pow(10.0, upperMargin())) logRef = 1.0 if reference() > LOG_MIN / 2: logRef = min(reference(), LOG_MAX / 2) if testAttribute(QwtScaleEngine.Symmetric): delta = max(interval.maxValue() / logRef, logRef / interval.minValue()) interval.setInterval(logRef / delta, logRef * delta) if testAttribute(QwtScaleEngine.IncludeReference): interval = interval.extend(logRef) interval = interval.limited(LOG_MIN, LOG_MAX) if interval.width() == 0.0: interval = self.buildInterval(interval.minValue()) stepSize = self.divideInterval( self.log10(interval).width(), max(maxNumSteps, 1)) stepSize = max(stepSize, 1.0) if not testAttribute(QwtScaleEngine.Floating): interval = self.align(interval, stepSize) x1 = interval.minValue() x2 = interval.maxValue() if testAttribute(QwtScaleEngine.Inverted): y = x2.copy() x2 = x1 x1 = y stepSize = -stepSize return (x1, x2, stepSize)
def autoScale(self, maxSteps, x1, x2):#, stepSize): print("plouf autoScale") if ( x1 > x2 ): y = x2.copy() x2 = x1 x1 = y interval = QwtDoubleInterval(x1 / pow(10.0, lowerMargin()), x2 * pow(10.0, upperMargin()) ) logRef = 1.0 if reference() > LOG_MIN / 2: logRef = min(reference(), LOG_MAX/2) if testAttribute(QwtScaleEngine.Symmetric): delta = max(interval.maxValue() / logRef, logRef / interval.minValue()) interval.setInterval(logRef / delta, logRef * delta) if testAttribute(QwtScaleEngine.IncludeReference): interval = interval.extend(logRef) interval = interval.limited(LOG_MIN, LOG_MAX) if interval.width() == 0.0: interval = self.buildInterval(interval.minValue()) stepSize = self.divideInterval(self.log10(interval).width(), max(maxNumSteps, 1)) stepSize = max(stepSize, 1.0) if not testAttribute(QwtScaleEngine.Floating): interval = self.align(interval, stepSize) x1 = interval.minValue() x2 = interval.maxValue() if testAttribute(QwtScaleEngine.Inverted): y = x2.copy() x2 = x1 x1 = y stepSize = -stepSize return (x1, x2, stepSize)