Uses of Interface
anl.aida.data.DataFrame

Packages that use DataFrame
anl.aida.data   
anl.aida.formula   
anl.aida.parser   
 

Uses of DataFrame in anl.aida.data
 

Classes in anl.aida.data that implement DataFrame
 class AbstractDataFrame
          Abstract implementation of DataFrame.
private static class DataFrameBuilder.BuilderDataFrame
           
 

Fields in anl.aida.data with type parameters of type DataFrame
private  java.util.List<DataFrame> Combiner.frames
           
protected  java.util.Map<Variable,DataFrame> AbstractDataset.frames
           
 

Methods in anl.aida.data that return DataFrame
 DataFrame Combiner.combine()
          Combine the added DataFrames into a single DataFrame with a Category axis composed of the added DataFrame's variables.
 DataFrame DataFrameBuilder.createDataFrame()
          Creates a DataFrame from the Datasets, Array and so forth that have been set or added to this DataFrameBuilder.
private static DataFrame DataUtilities.createDataFrame(DataFrame frame)
           
 DataFrame Dataset.getDataFrame(Variable var)
          Gets a DataFrame for the specified variable.
 DataFrame AbstractDataset.getDataFrame(Variable var)
           
 DataFrame DataFrame.slice(Slice slice)
          Creates a new DataFrame that is a slice or subsection of this one.
 DataFrame AbstractDataFrame.slice(Slice slice)
          Creates a new DataFrame that is a slice or subsection of this one.
 DataFrame DataTransformer.transform(DataFrame frame)
          Transforms the data contained by the specified DataFrame.
static DataFrame[] DataUtilities.unitVectorTransform(DataFrame xFrame, DataFrame yFrame)
          Normalizes the xFrame and yFrame data into unit vectors.
 

Methods in anl.aida.data with parameters of type DataFrame
 void Combiner.addDataFrame(DataFrame frame)
           
private static DataFrame DataUtilities.createDataFrame(DataFrame frame)
           
static DataUtilities.MinMax DataUtilities.minMax(DataFrame frame)
          Gets the minimum value contained by the specified DataFrame.
static DataUtilities.MinMax DataUtilities.minMax(DataFrame frame, int timeStep)
          Gets the min max value from the DataFrame at the specified time step.
static DataUtilities.MinMax DataUtilities.minMax(DataFrame frame, int timeStep, int layer)
           
static DataUtilities.MinMax DataUtilities.minMaxForTimeLayer(DataFrame frame, int layer)
          Gets the min max for the specified layer over the frame's entire time range.
static DataUtilities.MinMaxPoint DataUtilities.minMaxPoint(DataFrame frame, int timestep)
           
static DataUtilities.MinMax DataUtilities.minMaxTimeOther(DataFrame frame, int axisIndex)
          Gets the min max value over all time steps for a specified axisIndex.
static DataUtilities.MinMaxPoint DataUtilities.minMaxTLPoint(DataFrame frame, int timeStep, int layer)
          Gets the min max point at the specified time step and layer over all the x,y cells.
static DataUtilities.MinMax DataUtilities.minMaxTX(DataFrame frame, int timeStep, int x)
          Gets the min max of the frame data for the specified time step and x value over all the layers and y range.
static DataUtilities.MinMaxPoint DataUtilities.minMaxTXPoint(DataFrame frame, int timestep, int x)
           
static DataUtilities.MinMax DataUtilities.minMaxTY(DataFrame frame, int timeStep, int y)
          Gets the min max of the frame data for the specified time step and y value over all the layers and x range.
static DataUtilities.MinMaxPoint DataUtilities.minMaxTYPoint(DataFrame frame, int timestep, int y)
           
 DataFrame DataTransformer.transform(DataFrame frame)
          Transforms the data contained by the specified DataFrame.
static DataFrame[] DataUtilities.unitVectorTransform(DataFrame xFrame, DataFrame yFrame)
          Normalizes the xFrame and yFrame data into unit vectors.
 

Constructors in anl.aida.data with parameters of type DataFrame
DataFrameIndex(DataFrame frame)
          Creates a DataFrameIndex for the specified DataFrame.
 

Uses of DataFrame in anl.aida.formula
 

Fields in anl.aida.formula declared as DataFrame
(package private)  DataFrame DefaultFormula.VarFramePair.frame
           
 

Methods in anl.aida.formula that return DataFrame
 DataFrame FormulaVariable.evaluate()
          Evaluates this FormulaVariable and returns the resulting DataFrame.
 DataFrame Formula.evaluate(DataManager manager, java.util.List<AxisRange> ranges)
          Evaluates the formula to produce a DataFrame.
 DataFrame DefaultFormula.evaluate(DataManager manager, java.util.List<AxisRange> ranges)
           
 

Methods in anl.aida.formula with parameters of type DataFrame
 void DefaultFormula.VarFramePair.setFrame(DataFrame frame)
           
 void FormulaParser.setVariable(java.lang.String name, DataFrame value)
          Sets the value of the variable to the specified array.
 void DefaultParser.setVariable(java.lang.String name, DataFrame value)
          Sets the value of the variable to the specified array.
 

Constructors in anl.aida.formula with parameters of type DataFrame
DefaultFormula.VarFramePair(DataFrame frame, FormulaVariable var)
           
 

Uses of DataFrame in anl.aida.parser
 

Fields in anl.aida.parser with type parameters of type DataFrame
private  java.util.Map<java.lang.String,DataFrame> Frame.varValues
           
 

Methods in anl.aida.parser that return DataFrame
 DataFrame Frame.getValue(java.lang.String name)
          Gets the current value of the named variable.
 

Methods in anl.aida.parser with parameters of type DataFrame
 void Frame.setValue(java.lang.String name, DataFrame val)
          Sets the value of the named variable to the specified value.