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)
