org.das2.qds.DDataSet
rank 0,1,2,3 or 4 dataset backed by double array (8 byte real numbers).
version
accumValue
Deprecated: use addValue
accumValue( int i0, int i1, double value ) → void
addValue
addValue( int i0, double value ) → void
add this value to the current value.
Parameters
i0 - the index
value - the value, which is cast to this internal type.
Returns:
void (returns nothing)
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addValue( int i0, int i1, double value ) → void
addValue( int i0, int i1, int i2, double value ) → void
addValues
addValues( QDataSet ds, QDataSet wds ) → void
add all valid values of ds to this dataset.
This does not reconcile rank, see CoerceUtil.
Parameters
ds - a QDataSet
wds - a QDataSet
Returns:
void (returns nothing)
See Also:
CoerceUtil#coerce(QDataSet, QDataSet, boolean, QDataSet[])
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capability
capability( java.lang.Class clazz ) → Object
TODO: this is untested, but is left in to demonstrate how the capability
method should be implemented. Clients should use this instead of
casting the class to the capability class.
Parameters
clazz - the class, such as WritableDataSet.class
Returns:
null or the capability if exists, such as WritableDataSet
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copyElements
copyElements( org.das2.qds.DDataSet src, int srcpos, org.das2.qds.DDataSet dest, int destpos, int nrec ) → void
copy elements of src DDataSet into dest DDataSet, with System.arraycopy.
src and dst must have the same geometry, except for dim 0. Allows for
aliasing when higher dimension element count matches.
Parameters
src - source dataset
srcpos - source dataset first dimension index.
dest - destination dataset
destpos - destination dataset first dimension index.
nrec - number of records to copy. Note this is different than the other copyElements!
Returns:
void (returns nothing)
See Also:
copyElements(org.das2.qds.DDataSet, int, org.das2.qds.DDataSet, int, int, boolean)
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copyElements( org.das2.qds.DDataSet src, int srcpos, org.das2.qds.DDataSet dest, int destpos, int len, boolean checkAlias ) → void
create
create( int[][] qube ) → DDataSet
Makes an array from array of dimension sizes. The result will have
rank qube.length().
Parameters
qube - array specifying the rank and size of each dimension
Returns:
the array as a QDataSet
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createRank0
createRank0( ) → DDataSet
create a rank 1 dataset backed by array of doubles.
Returns:
rank 0 dataset backed by double.
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createRank1
createRank1( int len0 ) → DDataSet
create a rank 1 dataset backed by array of doubles.
Parameters
len0 - length of the dimension
Returns:
rank 1 qube dataset of backed by array of doubles.
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createRank1Bins
createRank1Bins( double min, double max, Units u ) → DDataSet
convenient method for creating DatumRanges bins datasets.
Parameters
min - the minumum value
max - the maximum value
u - the ratiometric or time location units
Returns:
the rank1 bins dataset
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createRank2
createRank2( int len0, int len1 ) → DDataSet
create a rank 2 qube dataset backed by array of doubles.
Parameters
len0 - length of the dimension
len1 - length of the dimension
Returns:
rank 2 qube dataset of backed by array of doubles.
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createRank3
createRank3( int len0, int len1, int len2 ) → DDataSet
create a rank 3 qube dataset backed by array of doubles.
Parameters
len0 - length of the dimension
len1 - length of the dimension
len2 - length of the dimension
Returns:
rank 3 qube dataset of backed by array of doubles.
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createRank4
createRank4( int len0, int len1, int len2, int len3 ) → DDataSet
create a rank 4 qube dataset backed by array of doubles.
Parameters
len0 - length of the dimension
len1 - length of the dimension
len2 - length of the dimension
len3 - length of the dimension
Returns:
rank 4 qube dataset of backed by array of doubles.
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putValue
putValue( double value ) → void
Parameters
value - a double
Returns:
void (returns nothing)
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putValue( int i0, double value ) → void
putValue( int i0, int i1, double value ) → void
putValue( int i0, int i1, int i2, double value ) → void
putValue( int i0, int i1, int i2, int i3, double value ) → void
slice
slice( int i ) → QDataSet
the slice operator is better implemented here. Presently, we
use System.arraycopy to copy out the data, but this could be
re-implemented along with an offset parameter so the original data
can be used to back the data.
Parameters
i - the index
Returns:
a rank N-1 slice of the data.
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trim
trim( int start, int end ) → QDataSet
Parameters
start - an int
end - an int
Returns:
org.das2.qds.QDataSet
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value
value( ) → double
Returns:
double
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value( int i0 ) → double
value( int i0, int i1 ) → double
value( int i0, int i1, int i2 ) → double
value( int i0, int i1, int i2, int i3 ) → double
wrap
wrap( double[][] data, int[][] qube ) → DDataSet
Wraps an array from array of dimension sizes. The result will have
rank qube.length(). For rank 0, data is 1-element array.
Parameters
data - array containing the data, with the last dimension contiguous in memory.
qube - array specifying the rank and size of each dimension
Returns:
the array as a QDataSet
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wrap( double[][] back, int rank, int len0, int len1, int len2 ) → DDataSet
wrap( double[][] back ) → DDataSet
wrap( double[][] back, int nx, int ny ) → DDataSet
wrap( double[][] back, int rank, int len0, int len1, int len2, int len3 ) → DDataSet
wrap( double[][] xx, Units xunits ) → DDataSet
wrapRank2
wrapRank2( double[][] back, int n1 ) → DDataSet
creates a DDataSet by wrapping an existing array, and aliasing it to rank2.
Note the last index is packed closest in memory.
Parameters
back - a double[]
n1 - the size of the second dimension.
Returns:
an org.das2.qds.DDataSet
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wrapRank3
wrapRank3( double[][] back, int n1, int n2 ) → DDataSet
creates a DDataSet by wrapping an existing array, and aliasing it to rank2.
Note the last index is packed closest in memory. The first index length
is calculated from the size of the array.
Parameters
back - a double[]
n1 - the size of the second index.
n2 - the size of the third index.
Returns:
an org.das2.qds.DDataSet
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