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Allows for a dataset to be sorted in multiple, flexible ways
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Methods
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__init__
permuteCols
permuteRows
reset
sort
sortColsByFunction
sortRowsByFunction
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__init__
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__init__ ( self, dataset )
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permuteCols
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permuteCols ( self, plist )
Set the columns in the view to a particular permutation.
The plist contains the order in which the data should appear. It needs to
have numCols() elements with each element in the range [0:numCols-1].
Duplicates are not allowed.
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permuteRows
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permuteRows ( self, plist )
Set the rows in the view to a particular permutation.
The plist contains the order in which the data should appear. It needs to
have numRows() elements with each element in the range [0:numRows-1].
Duplicates are not allowed.
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reset
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reset ( self )
Places the dataset back in its original order.
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sort
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sort ( self, func )
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sortColsByFunction
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sortColsByFunction ( self, func )
Sort the data column-wise using a numeric fuction.
The function should take in a Numeric vector and produce a scalar value
which can be sorted using the python built-in sort() method. Thus, valid
return types are strings, integers, or floats.
If this subroutine becomes a bottleneck, the permuted order of the data
can be computed externally and the view sorted via the permute() methods.
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sortRowsByFunction
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sortRowsByFunction ( self, func )
Sort the data row-wise using a numeric fuction.
The function should take in a Numeric vector and produce a scalar value
which can be sorted using the python built-in sort() method. Thus, valid
return types are strings, integers, or floats.
If this subroutine becomes a bottleneck, the permuted order of the data
can be computed externally and the view sorted via the permute() methods.
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