org.das2.qds.SparseDataSetBuilder

Builder for SparseDataSets. This was introduced to fix the problem where we wish to calculate the SparseDataSet in one pass, but we can't do this because PyQDataSets obscure the type and there was no way to set the length. This is also useful for building the BundleDescriptor datasets that describe how to unpack rank 2 datasets with the BUNDLE_1 property.

SparseDataSetBuilder( int rank )

getDataSet

getDataSet( ) → SparseDataSet

Returns:

org.das2.qds.SparseDataSet

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putProperty

putProperty( String name, Object value ) → void

Parameters

name - a String
value - an Object

Returns:

void (returns nothing)

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putProperty( String name, int index, Object value ) → void

putValue

putValue( double d ) → void

Parameters

d - a double

Returns:

void (returns nothing)

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putValue( int i0, double d ) → void
putValue( int i0, int i1, double d ) → void
putValue( int i0, int i1, int i2, double d ) → void
putValue( int i0, int i1, int i2, int i3, double d ) → void

setLength

setLength( int i0 ) → void

set the length of the zeroth dimension. Other dimensions have length set implicitly by the highest value set. If this is not set explicitly, then it will be implicit as well.

Parameters

i0 - an int

Returns:

void (returns nothing)

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setQube

setQube( int[] qube ) → void

make this a qube dataset, where all the lengths are the same. implicitly this calls setLength(qube[0]).

Parameters

qube - an int[]

Returns:

void (returns nothing)

[search for examples] [view on GitHub] [view on old javadoc] [view source]