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Packages that use DataFrame | |
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anl.aida.data | |
anl.aida.formula | |
anl.aida.parser |
Uses of DataFrame in anl.aida.data |
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Classes in anl.aida.data that implement DataFrame | |
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class |
AbstractDataFrame
Abstract implementation of DataFrame. |
private static class |
DataFrameBuilder.BuilderDataFrame
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Fields in anl.aida.data with type parameters of type DataFrame | |
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private java.util.List<DataFrame> |
Combiner.frames
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protected java.util.Map<Variable,DataFrame> |
AbstractDataset.frames
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Methods in anl.aida.data that return DataFrame | |
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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)
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DataFrame |
Dataset.getDataFrame(Variable var)
Gets a DataFrame for the specified variable. |
DataFrame |
AbstractDataset.getDataFrame(Variable var)
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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 | |
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void |
Combiner.addDataFrame(DataFrame frame)
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private static DataFrame |
DataUtilities.createDataFrame(DataFrame frame)
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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 | |
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DataFrameIndex(DataFrame frame)
Creates a DataFrameIndex for the specified DataFrame. |
Uses of DataFrame in anl.aida.formula |
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Fields in anl.aida.formula declared as DataFrame | |
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(package private) DataFrame |
DefaultFormula.VarFramePair.frame
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Methods in anl.aida.formula that return DataFrame | |
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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)
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Methods in anl.aida.formula with parameters of type DataFrame | |
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void |
DefaultFormula.VarFramePair.setFrame(DataFrame frame)
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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 | |
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DefaultFormula.VarFramePair(DataFrame frame,
FormulaVariable var)
|
Uses of DataFrame in anl.aida.parser |
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Fields in anl.aida.parser with type parameters of type DataFrame | |
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private java.util.Map<java.lang.String,DataFrame> |
Frame.varValues
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Methods in anl.aida.parser that return DataFrame | |
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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 | |
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void |
Frame.setValue(java.lang.String name,
DataFrame val)
Sets the value of the named variable to the specified value. |
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