unbundle

unbundle( QDataSet ds, String name ) → QDataSet

Extract the named bundled dataset. For example, extract B_x from bundle of components.

Parameters

ds - the bundle of datasets, often rank 2 with BUNDLE_1 property
name - the name of the bundled dataset, or "ch_<i>" where i is the dataset number

Returns:

the named dataset

See Also:

unbundle(QDataSet, int)
DataSetOps#bundleNames(QDataSet)


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unbundle( QDataSet ds, int i ) → QDataSet

unbundleBins

unbundleBins( QDataSet ds, int i ) → QDataSet

convenient method for getting the times from an events dataset, this unbundles the startTimes at i and the stopTimes at i+1 to a bins dataset. The second column can be durations as well.

Parameters

ds - the bundle.
i - the index, 0 for a canonical events dataset.

Returns:

rank 2 bins dataset.

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uniq

uniq( QDataSet ds ) → QDataSet

Return the unique indices from the rank 1 dataset. If the set is not monotonic, then return unique indices from the monotonic portions.

Parameters

ds - rank 1 dataset, sorted, or mostly sorted.

Returns:

the element indices.

See Also:

sort(java.lang.Object)
uniq(QDataSet, QDataSet)
uniqValues(QDataSet, QDataSet)


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uniq( QDataSet ds, QDataSet sort ) → QDataSet

uniqValues

uniqValues( QDataSet ds, QDataSet sort ) → QDataSet

return the unique elements from the dataset. If sort is null, then the dataset is assumed to be monotonic, and only repeating values are coalesced. If sort is non-null, then it is the result of the function "sort" and should be a rank 1 list of indices that sort the data. renamed uniqValues from uniq to avoid confusion with the IDL command. This needs example code and should not be used for now. See VirboAutoplot/src/scripts/test/testUniq.jy

Parameters

ds - rank 1 dataset, sorted, or mostly sorted.
sort - null, or the rank 1 dataset of indices

Returns:

the subset of the data which is uniq.

See Also:

uniq uniq, which returns the indices. uniq, which returns the indices.
uniq(QDataSet, QDataSet)


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unwrap

unwrap( QDataSet ds, double discont ) → QDataSet

SciPy's unwrap function, used in demo of hilbertSciPy, which unwraps a function that exists in a modulo space so that the differences are minimal.

Parameters

ds - rank 1 dataset, containing values from 0 to discont
discont - the discont, such as PI, TAU, 24, 60, 360, etc.

Returns:

a QDataSet

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