StatisticsControl¶
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class lsst.afw.math.StatisticsControl¶
- Bases: - pybind11_builtins.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>¶
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WEIGHTS_NONE= <WeightsBoolean.WEIGHTS_NONE: 2>¶
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WEIGHTS_TRUE= <WeightsBoolean.WEIGHTS_TRUE: 1>¶
 - Methods Documentation - 
getAndMask(self: lsst.afw.math.StatisticsControl) → int¶
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getCalcErrorFromInputVariance(self: lsst.afw.math.StatisticsControl) → bool¶
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getMaskPropagationThreshold(self: lsst.afw.math.StatisticsControl, arg0: int) → float¶
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getNanSafe(self: lsst.afw.math.StatisticsControl) → bool¶
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getNoGoodPixelsMask(self: lsst.afw.math.StatisticsControl) → int¶
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getNumIter(self: lsst.afw.math.StatisticsControl) → int¶
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getNumSigmaClip(self: lsst.afw.math.StatisticsControl) → float¶
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getWeighted(self: lsst.afw.math.StatisticsControl) → bool¶
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getWeightedIsSet(self: lsst.afw.math.StatisticsControl) → bool¶
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setAndMask(self: lsst.afw.math.StatisticsControl, arg0: int) → None¶
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setCalcErrorFromInputVariance(self: lsst.afw.math.StatisticsControl, arg0: bool) → None¶
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setMaskPropagationThreshold(self: lsst.afw.math.StatisticsControl, arg0: int, arg1: float) → None¶
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setNanSafe(self: lsst.afw.math.StatisticsControl, arg0: bool) → None¶
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setNoGoodPixelsMask(self: lsst.afw.math.StatisticsControl, arg0: int) → None¶
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setNumIter(self: lsst.afw.math.StatisticsControl, arg0: int) → None¶
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setNumSigmaClip(self: lsst.afw.math.StatisticsControl, arg0: float) → None¶
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setWeighted(self: lsst.afw.math.StatisticsControl, arg0: bool) → None¶
 
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