Module platform
Package org.jfree.data.statistics

Class DefaultStatisticalCategoryDataset

java.lang.Object
org.jfree.data.general.AbstractDataset
org.jfree.data.statistics.DefaultStatisticalCategoryDataset
All Implemented Interfaces:
ObjectInputValidation, Serializable, Cloneable, PublicCloneable, CategoryDataset, Dataset, KeyedValues2D, RangeInfo, StatisticalCategoryDataset, Values2D
public class DefaultStatisticalCategoryDataset extends AbstractDataset implements StatisticalCategoryDataset, RangeInfo, PublicCloneable
A convenience class that provides a default implementation of the StatisticalCategoryDataset interface.
See Also:

  • Constructor Details

    • DefaultStatisticalCategoryDataset

      public DefaultStatisticalCategoryDataset()
      Creates a new dataset.

  • Method Details

    • getMeanValue

      public Number getMeanValue(int row, int column)
      Returns the mean value for an item.
      Specified by:
      getMeanValue in interface StatisticalCategoryDataset
      Parameters:
      row - the row index (zero-based).
      column - the column index (zero-based).
      Returns:
      The mean value (possibly null).

    • getValue

      public Number getValue(int row, int column)
      Returns the value for an item (for this dataset, the mean value is returned).
      Specified by:
      getValue in interface Values2D
      Parameters:
      row - the row index.
      column - the column index.
      Returns:
      The value (possibly null).

    • getValue

      public Number getValue(Comparable rowKey, Comparable columnKey)
      Returns the value for an item (for this dataset, the mean value is returned).
      Specified by:
      getValue in interface KeyedValues2D
      Parameters:
      rowKey - the row key.
      columnKey - the columnKey.
      Returns:
      The value (possibly null).

    • getMeanValue

      public Number getMeanValue(Comparable rowKey, Comparable columnKey)
      Returns the mean value for an item.
      Specified by:
      getMeanValue in interface StatisticalCategoryDataset
      Parameters:
      rowKey - the row key.
      columnKey - the columnKey.
      Returns:
      The mean value (possibly null).

    • getStdDevValue

      public Number getStdDevValue(int row, int column)
      Returns the standard deviation value for an item.
      Specified by:
      getStdDevValue in interface StatisticalCategoryDataset
      Parameters:
      row - the row index (zero-based).
      column - the column index (zero-based).
      Returns:
      The standard deviation (possibly null).

    • getStdDevValue

      public Number getStdDevValue(Comparable rowKey, Comparable columnKey)
      Returns the standard deviation value for an item.
      Specified by:
      getStdDevValue in interface StatisticalCategoryDataset
      Parameters:
      rowKey - the row key.
      columnKey - the columnKey.
      Returns:
      The standard deviation (possibly null).

    • getColumnIndex

      public int getColumnIndex(Comparable key)
      Returns the column index for a given key.
      Specified by:
      getColumnIndex in interface KeyedValues2D
      Parameters:
      key - the column key (null not permitted).
      Returns:
      The column index.

    • getColumnKey

      public Comparable getColumnKey(int column)
      Returns a column key.
      Specified by:
      getColumnKey in interface KeyedValues2D
      Parameters:
      column - the column index (zero-based).
      Returns:
      The column key.

    • getColumnKeys

      public List getColumnKeys()
      Returns the column keys.
      Specified by:
      getColumnKeys in interface KeyedValues2D
      Returns:
      The keys.

    • getRowIndex

      public int getRowIndex(Comparable key)
      Returns the row index for a given key.
      Specified by:
      getRowIndex in interface KeyedValues2D
      Parameters:
      key - the row key (null not permitted).
      Returns:
      The row index.

    • getRowKey

      public Comparable getRowKey(int row)
      Returns a row key.
      Specified by:
      getRowKey in interface KeyedValues2D
      Parameters:
      row - the row index (zero-based).
      Returns:
      The row key.

    • getRowKeys

      public List getRowKeys()
      Returns the row keys.
      Specified by:
      getRowKeys in interface KeyedValues2D
      Returns:
      The keys.

    • getRowCount

      public int getRowCount()
      Returns the number of rows in the table.
      Specified by:
      getRowCount in interface Values2D
      Returns:
      The row count.
      See Also:

    • getColumnCount

      public int getColumnCount()
      Returns the number of columns in the table.
      Specified by:
      getColumnCount in interface Values2D
      Returns:
      The column count.
      See Also:

    • add

      public void add(double mean, double standardDeviation, Comparable rowKey, Comparable columnKey)
      Adds a mean and standard deviation to the table.
      Parameters:
      mean - the mean.
      standardDeviation - the standard deviation.
      rowKey - the row key.
      columnKey - the column key.

    • add

      public void add(Number mean, Number standardDeviation, Comparable rowKey, Comparable columnKey)
      Adds a mean and standard deviation to the table.
      Parameters:
      mean - the mean.
      standardDeviation - the standard deviation.
      rowKey - the row key.
      columnKey - the column key.

    • remove

      public void remove(Comparable rowKey, Comparable columnKey)
      Removes an item from the dataset and sends a DatasetChangeEvent to all registered listeners.
      Parameters:
      rowKey - the row key (null not permitted).
      columnKey - the column key (null not permitted).
      See Also:

    • removeRow

      public void removeRow(int rowIndex)
      Removes a row from the dataset and sends a DatasetChangeEvent to all registered listeners.
      Parameters:
      rowIndex - the row index.
      See Also:

    • removeRow

      public void removeRow(Comparable rowKey)
      Removes a row from the dataset and sends a DatasetChangeEvent to all registered listeners.
      Parameters:
      rowKey - the row key (null not permitted).
      See Also:

    • removeColumn

      public void removeColumn(int columnIndex)
      Removes a column from the dataset and sends a DatasetChangeEvent to all registered listeners.
      Parameters:
      columnIndex - the column index.
      See Also:

    • removeColumn

      public void removeColumn(Comparable columnKey)
      Removes a column from the dataset and sends a DatasetChangeEvent to all registered listeners.
      Parameters:
      columnKey - the column key (null not permitted).
      See Also:

    • clear

      public void clear()
      Clears all data from the dataset and sends a DatasetChangeEvent to all registered listeners.

    • getRangeLowerBound

      public double getRangeLowerBound(boolean includeInterval)
      Returns the minimum y-value in the dataset.
      Specified by:
      getRangeLowerBound in interface RangeInfo
      Parameters:
      includeInterval - a flag that determines whether or not the y-interval is taken into account.
      Returns:
      The minimum value.
      See Also:

    • getRangeUpperBound

      public double getRangeUpperBound(boolean includeInterval)
      Returns the maximum y-value in the dataset.
      Specified by:
      getRangeUpperBound in interface RangeInfo
      Parameters:
      includeInterval - a flag that determines whether or not the y-interval is taken into account.
      Returns:
      The maximum value.
      See Also:

    • getRangeBounds

      public Range getRangeBounds(boolean includeInterval)
      Returns the bounds of the values in this dataset's y-values.
      Specified by:
      getRangeBounds in interface RangeInfo
      Parameters:
      includeInterval - a flag that determines whether or not the y-interval is taken into account.
      Returns:
      The range.

    • equals

      public boolean equals(Object obj)
      Tests this instance for equality with an arbitrary object.
      Overrides:
      equals in class Object
      Parameters:
      obj - the object (null permitted).
      Returns:
      A boolean.

    • clone

      public Object clone() throws CloneNotSupportedException
      Returns a clone of this dataset.
      Specified by:
      clone in interface PublicCloneable
      Overrides:
      clone in class AbstractDataset
      Returns:
      A clone of this dataset.
      Throws:
      CloneNotSupportedException - if cloning cannot be completed.