Uses of Interface
de.gsi.dataset.DataSet

Packages that use DataSet

Package	Description
de.gsi.dataset
de.gsi.dataset.spi
de.gsi.dataset.testdata
de.gsi.dataset.testdata.spi
de.gsi.dataset.utils

Uses of DataSet in de.gsi.dataset

Subinterfaces of DataSet in de.gsi.dataset

Modifier and Type	Interface and Description
interface	DataSet3D A DataSet extension used to represent 3-dimensional data points.
interface	DataSetError The DataSetError is a basic interface that specifies all methods needed to read and modify data point error.
interface	EditableDataSet
interface	Histogram
interface	Histogram1D

Methods in de.gsi.dataset that return DataSet

Modifier and Type	Method and Description
DataSet	DataSet.lock() Locks access to the data set.
DataSet	DataSet.setAutoNotifaction(boolean flag) Set the automatic notification of invalidation listeners.
DataSet	DataSet.setStyle(String style) A string representation of the CSS style associated with this specific DataSet.
DataSet	DataSet.unlock() Unlock the data set.

Uses of DataSet in de.gsi.dataset.spi

Classes in de.gsi.dataset.spi with type parameters of type DataSet

Modifier and Type	Class and Description
class	AbstractStylable<D extends DataSet> Class to define CSS-based style features N.B.

Classes in de.gsi.dataset.spi that implement DataSet

Modifier and Type	Class and Description
class	AbstractDataSet<D extends AbstractStylable<D>> The abstract implementation of DataSet interface that provides implementation of some methods.
class	AbstractDataSet3D<D extends AbstractDataSet3D<D>> An abstract implementation of DataSet3D interface.
class	AbstractErrorDataSet<D extends AbstractErrorDataSet<D>> The abstract implementation of DataSet and DataSetError interface that provides implementation of some methods.
class	AbstractHistogram
class	AbstractStylable<D extends DataSet> Class to define CSS-based style features N.B.
class	AveragingDataSet TODO: Change to ErrorDataSet and calculate standard deviation.
class	CircularDoubleErrorDataSet
class	DefaultDataSet Redirect to the reference implementation declared as 'default'.
class	DefaultErrorDataSet Redirect to the reference implementation declared as 'default'.
class	DoubleDataSet Implementation of the DataSet interface which stores x,y values in two separate arrays.
class	DoubleDataSet3D Implementation of a AbstractDataSet3D backed by arrays.
class	DoubleErrorDataSet Implementation of the DataSetError interface which stores x,y, +eyn, and -eyn values in separate double arrays.
class	FifoDoubleErrorDataSet
class	FloatDataSet Implementation of the DataSet interface which stores x,y values in two separate arrays.
class	FragmentedDataSet
class	Histogram Class implements simple one dimensional binned histogram backed internally by double arrays
class	Histogram2
class	LabelledMarkerDataSet Minor extension to DefaultDataSet to easier handle labelled markers.
class	LimitedIndexedTreeDataSet DataSet implementation based on a sorted indexed TreeDataSets.
class	ListDataSet Deprecated. due to poorer CPU performance (this is kept for reference reasons)
class	ListErrorDataSet Deprecated. due to poorer CPU performance (this is kept for reference reasons)
class	RollingDataSet
class	WrappedDataSet A data set implementation which wraps another data set.

Fields in de.gsi.dataset.spi with type parameters of type DataSet

Modifier and Type	Field and Description
protected ArrayList<DataSet>	FragmentedDataSet.list

Methods in de.gsi.dataset.spi that return DataSet

Modifier and Type	Method and Description
DataSet	DataSetBuilder.build()
protected DataSet	DataSetBuilder.buildRawDataSet(String dsName)
DataSet	WrappedDataSet.getDataset()

Methods in de.gsi.dataset.spi with parameters of type DataSet

Modifier and Type	Method and Description
void	RollingDataSet.add(DataSet set)
void	AveragingDataSet.add(DataSet ds)
void	FragmentedDataSet.add(DataSet set)
protected void	DataSetBuilder.addDataLabelStyleMap(DataSet dataSet)
protected void	DataSetBuilder.addDataRanges(DataSet dataSet)
protected void	DataSetBuilder.addMetaData(DataSet dataSet)
FloatDataSet	FloatDataSet.set(DataSet other) clear old data and overwrite with data from 'other' data set (deep copy)
DoubleDataSet	DoubleDataSet.set(DataSet other) clear old data and overwrite with data from 'other' data set (deep copy)
DoubleErrorDataSet	DoubleErrorDataSet.set(DataSet other) clear old data and overwrite with data from 'other' data set (deep copy)
void	WrappedDataSet.setDataset(DataSet dataset) update/overwrite internal data set with content from other data set

Constructors in de.gsi.dataset.spi with parameters of type DataSet

Constructor and Description
DefaultDataSet(DataSet another) Creates a new instance of DefaultDataSet as copy of another (deep-copy).
DefaultErrorDataSet(DataSet another) Creates a new instance of DoubleDataSet as copy of another (deep-copy).
DoubleDataSet(DataSet another) Creates a new instance of DoubleDataSet as copy of another (deep-copy).
DoubleErrorDataSet(DataSet another) Creates a new instance of DoubleErrorDataSet as copy of another (deep-copy).
FloatDataSet(DataSet another) Creates a new instance of FloatDataSet as copy of another (deep-copy).

Uses of DataSet in de.gsi.dataset.testdata

Subinterfaces of DataSet in de.gsi.dataset.testdata

Modifier and Type	Interface and Description
interface	TestDataSet<D extends TestDataSet<D>> Standard interface for test data set

Uses of DataSet in de.gsi.dataset.testdata.spi

Classes in de.gsi.dataset.testdata.spi that implement DataSet

Modifier and Type	Class and Description
class	AbstractTestFunction<D extends AbstractTestFunction<D>> abstract error data set for graphical testing purposes
class	CosineFunction abstract error data set for graphical testing purposes this implementation generates a cosine function
class	GaussFunction abstract error data set for graphical testing purposes this implementation generates a Gaussian function
class	RandomStepFunction abstract error data set for graphical testing purposes this implementation generates a random step function
class	RandomWalkFunction abstract error data set for graphical testing purposes this implementation generates a random walk (Brownian noise) function.
class	SincFunction abstract error data set for graphical testing purposes this implementation generates a sinc function
class	SineFunction abstract error data set for graphical testing purposes this implementation generates a sine function
class	SingleOutlierFunction abstract error data set for graphical testing purposes this implementation generates a function with a single random outlier

Uses of DataSet in de.gsi.dataset.utils

Methods in de.gsi.dataset.utils that return DataSet

Modifier and Type	Method and Description
static DataSet	DataSetSerialiser.readDataSetFromByteArray(FastByteBuffer readBuffer) Read a Dataset from a byte array containing comma separated values. The data format is a custom extension of csv with an additional #-commented Metadata Header and a $-commented column header.
static DataSet	DataSetUtils.readDataSetFromFile(String fileName) Read a Dataset from a file containing comma separated values. Automatically determines compression from the file extension. The data format is a custom extension of csv with an additional #-commented Metadata Header and a $-commented column header.
static DataSet	DataSetUtils.readDataSetFromFile(String fileName, DataSetUtils.Compression compression) Read a Dataset from a file containing comma separated values. The data format is a custom extension of csv with an additional #-commented Metadata Header and a $-commented column header.

Methods in de.gsi.dataset.utils with parameters of type DataSet

Modifier and Type	Method and Description
static AbstractDataSet<?>	DataSetUtils.copyDataSet(DataSet ds) perform and return a deep copy of the data set
static double	DataSetUtils.error(DataSet dataSet, DataSetUtils.ErrType eType, double x) convenience short-hand notation for getting error variable at an exact x value.
static double	DataSetUtils.error(DataSet dataSet, DataSetUtils.ErrType eType, int index) convenience short-hand notation for getting error variable at a specific data point index.
protected static double	DataSetUtils.error(DataSet dataSet, DataSetUtils.ErrType eType, int index, double x, boolean interpolate) convenience short-hand notation for getting error variables.
static double[]	DataSetUtils.errors(DataSet dataSet, DataSetUtils.ErrType eType) convenience short-hand notation for getting error variables (if defined for dataset)
static String	DataSetUtils.getFileName(DataSet dataSet, String fileName) Produce a filename from a dataSet and a String that can contain {datafield;type;format} style placeholders.
protected static double	DataSetUtilsHelper.integralSimple(DataSet function)
protected static void	DataSetSerialiser.writeDataLabelsToStream(FastByteBuffer buffer, DataSet dataSet)
static void	DataSetUtils.writeDataSetToByteArray(DataSet dataSet, ByteArrayOutputStream byteOutput, boolean binary, boolean asFloat) Write data set into byte buffer.
static void	DataSetSerialiser.writeDataSetToByteArray(DataSet dataSet, FastByteBuffer buffer, boolean asFloat) Write data set into byte buffer.
static String	DataSetUtils.writeDataSetToFile(DataSet dataSet, Path path, String fileName) Export the contents of the supplied dataSet to file as comma separated values with an additional comment header containing metaData if existent. The filename can contain placeholders of the form {metadatafield;type;format}, where metadatafield references a field in the metadata as specified by the metaDataDataSet interface.
static String	DataSetUtils.writeDataSetToFile(DataSet dataSet, Path path, String fileName, boolean binary) Export the contents of the supplied dataSet to file as comma separated values with an additional comment header containing metaData if existent. The filename can contain placeholders of the form {metadatafield;type;format}, where metadatafield references a field in the metadata as specified by the metaDataDataSet interface.
static String	DataSetUtils.writeDataSetToFile(DataSet dataSet, Path path, String fileName, DataSetUtils.Compression compression) Export the contents of the supplied dataSet to file as comma separated values with an additional comment header containing metaData if existent. The filename can contain placeholders of the form {metadatafield;type;format}, where metadatafield references a field in the metadata as specified by the metaDataDataSet interface.
static String	DataSetUtils.writeDataSetToFile(DataSet dataSet, Path path, String fileName, DataSetUtils.Compression compression, boolean binary) Export the contents of the supplied dataSet to file as comma separated values with an additional comment header containing metaData if existent. The filename can contain placeholders of the form {metadatafield;type;format}, where metadatafield references a field in the metadata as specified by the metaDataDataSet interface.
protected static void	DataSetSerialiser.writeHeaderDataToStream(FastByteBuffer buffer, DataSet dataSet)
protected static void	DataSetUtils.writeHeaderDataToStream(OutputStream outputStream, DataSet dataSet)
protected static void	DataSetSerialiser.writeMetaDataToStream(FastByteBuffer buffer, DataSet dataSet)
protected static void	DataSetUtils.writeMetaDataToStream(OutputStream outputStream, DataSet dataSet)
protected static void	DataSetSerialiser.writeNumericBinaryDataToBuffer(FastByteBuffer buffer, DataSet dataSet, boolean asFloat)
protected static void	DataSetUtils.writeNumericDataToStream(OutputStream outputFile, DataSet dataSet)