StatisticsControl

class lsst.afw.math.StatisticsControl

Bases: pybind11_object

Attributes Summary

WEIGHTS_FALSE
WEIGHTS_NONE
WEIGHTS_TRUE

Methods Summary

getAndMask(self)
getCalcErrorFromInputVariance(self)
getMaskPropagationThreshold(self, arg0)
getNanSafe(self)
getNoGoodPixelsMask(self)
getNumIter(self)
getNumSigmaClip(self)
getWeighted(self)
getWeightedIsSet(self)
setAndMask(self, arg0)
setCalcErrorFromInputVariance(self, arg0)
setMaskPropagationThreshold(self, arg0, arg1)
setNanSafe(self, arg0)
setNoGoodPixelsMask(self, arg0)
setNumIter(self, arg0)
setNumSigmaClip(self, arg0)
setWeighted(self, arg0)

Attributes Documentation

WEIGHTS_FALSE = <WeightsBoolean.WEIGHTS_FALSE: 0>

WEIGHTS_NONE = <WeightsBoolean.WEIGHTS_NONE: 2>

WEIGHTS_TRUE = <WeightsBoolean.WEIGHTS_TRUE: 1>

Methods Documentation

getAndMask(self: lsst.afw.math.StatisticsControl) → int

getCalcErrorFromInputVariance(self: lsst.afw.math.StatisticsControl) → bool

getMaskPropagationThreshold(self: lsst.afw.math.StatisticsControl, arg0: int) → float

getNanSafe(self: lsst.afw.math.StatisticsControl) → bool

getNoGoodPixelsMask(self: lsst.afw.math.StatisticsControl) → int

getNumIter(self: lsst.afw.math.StatisticsControl) → int

getNumSigmaClip(self: lsst.afw.math.StatisticsControl) → float

getWeighted(self: lsst.afw.math.StatisticsControl) → bool

getWeightedIsSet(self: lsst.afw.math.StatisticsControl) → bool

setAndMask(self: lsst.afw.math.StatisticsControl, arg0: int) → None

setCalcErrorFromInputVariance(self: lsst.afw.math.StatisticsControl, arg0: bool) → None

setMaskPropagationThreshold(self: lsst.afw.math.StatisticsControl, arg0: int, arg1: float) → None

setNanSafe(self: lsst.afw.math.StatisticsControl, arg0: bool) → None

setNoGoodPixelsMask(self: lsst.afw.math.StatisticsControl, arg0: int) → None

setNumIter(self: lsst.afw.math.StatisticsControl, arg0: int) → None

setNumSigmaClip(self: lsst.afw.math.StatisticsControl, arg0: float) → None

setWeighted(self: lsst.afw.math.StatisticsControl, arg0: bool) → None