org.das2.qds.util.BinAverage

utility class providing methods for bin averaging.

binAverage

binAverage( QDataSet ds, QDataSet newTags0 ) → DDataSet

returns a dataset with tags specified by newTags0. Data from ds are averaged together when they fall into the same bin. Note the result will have the property WEIGHTS.

Parameters

ds - a rank 1 dataset, no fill
newTags0 - a rank 1 tags dataset, that must be MONOTONIC.

Returns:

rank 1 dataset with DEPEND_0 = newTags.

See Also:

rebin(QDataSet, QDataSet, QDataSet)
binAverage(QDataSet, QDataSet )
binAverage(QDataSet, QDataSet, QDataSet )


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binAverage( QDataSet ds, QDataSet newTags0, QDataSet newTags1 ) → DDataSet

binAverageBundle

binAverageBundle( QDataSet ds, QDataSet dep0, QDataSet dep1, QDataSet dep2 ) → DDataSet

takes rank 2 bundle (x,y,z,f) and averages it into rank 3 qube f(x,y,z). This is similar to what happens in the spectrogram routine.

Parameters

ds - rank 2 bundle(x,y,z,f)
dep0 - the rank 1 depend0 for the result, which must be uniformly spaced.
dep1 - the rank 1 depend1 for the result, which must be uniformly spaced.
dep2 - the rank 1 depend2 for the result, which must be uniformly spaced.

Returns:

rank 3 dataset of z averages with depend_0, depend_1, and depend_2. WEIGHTS contains the total weight for each bin.

See Also:

rebinBundle(QDataSet, QDataSet, QDataSet)


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binAverageBundle( QDataSet ds, QDataSet dep0, QDataSet dep1 ) → DDataSet

binMeanAverageDeviation

binMeanAverageDeviation( QDataSet ads, QDataSet ds ) → DDataSet

takes rank 2 bundle (x,y,z) and averages in table z(x,y) and computes the mean average deviation in each bin.

Parameters

ads - rank 2 grid of averages
ds - rank 2 bundle(x,y,z)

Returns:

rank 2 dataset of z averages with depend_0 and depend_1. WEIGHTS contains the total weight for each bin.

See Also:

rebin(QDataSet, QDataSet, QDataSet)
rebinBundle(QDataSet, QDataSet, QDataSet, QDataSet)
Ops#meanAverageDeviation(QDataSet)
https://github.com/autoplot/dev/blob/master/demos/2021/20210529/demoBinMeanAverageDeviation.jy


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boxcar

boxcar( QDataSet ds, int size ) → DDataSet

run boxcar average over the dataset, returning a dataset of same geometry. Points near the edge are simply copied from the source dataset. The result dataset contains a property "weights" that is the weights for each point.

Parameters

ds - a rank 1 dataset of size N
size - the number of adjacent bins to average

Returns:

rank 1 dataset of size N

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rebin

rebin( QDataSet ds, QDataSet newTags0 ) → DDataSet

returns a dataset with tags specified by newTags0. Data from ds are averaged together when they fall into the same bin. Note the result will have the property WEIGHTS.

Parameters

ds - a rank 1 dataset, no fill
newTags0 - a rank 1 tags dataset, that must be MONOTONIC.

Returns:

rank 1 dataset with DEPEND_0 = newTags.

See Also:

rebin(QDataSet, QDataSet, QDataSet)
binAverage(QDataSet, QDataSet )


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rebin( QDataSet ds, QDataSet newTags0, QDataSet newTags1 ) → DDataSet
rebin( QDataSet ds, int n0 ) → QDataSet
rebin( QDataSet ds, int n0, int n1 ) → QDataSet
rebin( QDataSet ds, int n0, int n1, int n2 ) → QDataSet

rebinBundle

Deprecated: see binAverageBundle rebinBundle( QDataSet ds, QDataSet dep0, QDataSet dep1 ) → DDataSet

residuals

residuals( QDataSet ds, int boxcarSize ) → QDataSet

returns number of stddev from adjacent data.

Parameters

ds - a QDataSet
boxcarSize - an int

Returns:

QDataSet

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