com.quinncurtis.chart2djava
Class SimpleDataset

java.lang.Object
  com.quinncurtis.chart2djava.ChartObj
      com.quinncurtis.chart2djava.ChartDataset
          com.quinncurtis.chart2djava.SimpleDataset

All Implemented Interfaces:

ChartConstants, java.lang.Cloneable

Direct Known Subclasses:

ContourDataset, TimeSimpleDataset

public class SimpleDataset
extends ChartDataset

A simple dataset class encapsulates x- and y-data values that are to be used as source of chart information. Copies of the original data arrays are stored. The original source data can be deleted once the dataset is created. If you want to make any changes to the data, you must change the data in the dataset, not the original source data.

Field Summary

Fields inherited from class com.quinncurtis.chart2djava.ChartDataset

initialCondition, markLookaheadLimit

Fields inherited from interface com.quinncurtis.chart2djava.ChartConstants

ABOVE_CENTERED_PLOTAREA, ABOVE_REFERENCED_TEXT, ABSTRACT_DATASET, ACTUAL_SIZE, ALARM_TRANSITION_DECREASING_FROM_HIGH, ALARM_TRANSITION_DECREASING_TO_LOW, ALARM_TRANSITION_INCREASING_FROM_LOW, ALARM_TRANSITION_INCREASING_TO_HIGH, ALARM_TRANSITION_NONE_HIGH, ALARM_TRANSITION_NONE_LOW, ALARM_TRANSITION_NONE_NORMAL, ALTBARMODE, APRIL, ARC2D_OBJ, ARROW, ARROWPLOT, AUGUST, AUTO_RESIZE_OBJECTS, AUTOAXES_EXACT, AUTOAXES_FAR, AUTOAXES_NEAR, AUTOAXES_STACKED, AUTOAXES_UNSTACKED, AUTOCHART, AUTOSCALE, AXIS, AXIS_CENTER, AXIS_MAX, AXIS_MIN, AXISLABELS, AXISTITLE, BACKGROUND, BACKGROUND_ELLIPSE, BACKGROUND_RECTANGLE, BACKGROUND_ROUNDEDRECTANGLE, BARDATAPOINTVALUE, BARPLOT, BELOW_CENTERED_PLOTAREA, BELOW_REFERENCED_TEXT, BOTH_AXES, BOTTOM_BORDER, BOTTOM_SIDE, BUBBLELEGEND, BUBBLEPLOT, BUBLELEGENDITEM, BUFFERED_IMAGE_RENDERING, BUFFEREDIMAGE, BUSINESSFORMAT, CANDLESTICK, CARTESIAN_COORDINATES, CELL_PLOT, CENTER_GRAPH, CENTER_PLOT, CENTER_RADIUS_BOTTOM, CENTER_RADIUS_LEFT, CENTER_RADIUS_RIGHT, CENTER_RADIUS_TOP, CENTERED_BAR, CHART_FOOTER, CHART_HEADER, CHART_SUBHEAD, CHARTATTRIBUTE, CHARTBRUSHES, CHARTCALENDAR, CHARTPENS, CIRCLE, COLUMN_MAJOR, COMBINE_DATASET_ADD, COMBINE_DATASET_DIVIDE, COMBINE_DATASET_MULTIPLY, COMBINE_DATASET_SUBTRACT, COMBINE_DATASET_X, COMBINE_DATASET_XY, COMBINE_DATASET_Y, CONTOUR_DATASET, CONTOUR_FILL, CONTOUR_LINE, CONTOUR_LINEANDFILL, CONTOUR_LINEPOLYGON, CONTOUR_LINEWALK, CONTOURLINE, COORD_SIZE, CROSS, CROSSOVER_DAY, CROSSOVER_MONTH, CROSSOVER_NONE, CROSSOVER_WEEK, CROSSOVER_YEAR, CURRENCYBUSINESSFORMAT, CURRENCYFORMAT, CUSTOM_POSITION, CUSTOMAXIS, CUSTOMSYMBOL, DATA_MOVEABLE, DATA_TOOLTIP_CUSTOM, DATA_TOOLTIP_GROUP_MULTILINE, DATA_TOOLTIP_OHLC, DATA_TOOLTIP_X, DATA_TOOLTIP_XY_ONELINE, DATA_TOOLTIP_XY_TWOLINE, DATA_TOOLTIP_Y, DATACOMPRESS_AVERAGE, DATACOMPRESS_MAX, DATACOMPRESS_MIN, DATACOMPRESS_MINMAX, DATACOMPRESS_NONE, DATACOMPRESS_SKIP, DATACOMPRESS_SUM, DATACURSOR, DATAVALUE_SYMBOL_SELECTON, DATE, DAY_OF_MONTH, DAY_OF_WEEK, DAY_OF_YEAR, DECEMBER, DECIMALFORMAT, DEFAULTFORMAT, DEV_POS, DIAMOND, DOWNTRIANGLE, EmptyColor, ENGINEERINGFORMAT, ERROR_ARRAY_NEW, ERROR_ARRAY_NEW_STRING, ERROR_AUTOSCALE, ERROR_AUTOSCALE_DATASET, ERROR_AUTOSCALE_DATASET_STRING, ERROR_AUTOSCALE_DATASETSARRAY, ERROR_AUTOSCALE_DATASETSARRAY_STRING, ERROR_AUTOSCALE_STRING, ERROR_AUTOSCALE_TRANSFORM, ERROR_AUTOSCALE_TRANSFORM_STRING, ERROR_AXIS, ERROR_AXIS_STRING, ERROR_AXISLABLES, ERROR_AXISLABLES_STRING, ERROR_AXISRANGE, ERROR_AXISRANGE_STRING, ERROR_AXISTICKS, ERROR_AXISTICKS_STRING, ERROR_BAD_POLYSURFACE, ERROR_BAD_POLYSURFACE_STRING, ERROR_BARDATAVALUE, ERROR_BARDATAVALUE_STRING, ERROR_BORDER, ERROR_BORDER_STRING, ERROR_COMPONENT, ERROR_COMPONENT_STRING, ERROR_CONTOURDATASET, ERROR_CONTOURDATASET_STRING, ERROR_DATASET, ERROR_DATASET_STRING, ERROR_DATASETSIZE, ERROR_DATASETSIZE_STRING, ERROR_DELAUNAY, ERROR_DELAUNAY_STRING, ERROR_FILECLOSE, ERROR_FILECLOSE_STRING, ERROR_FILEIO, ERROR_FILEIO_STRING, ERROR_FILEOPEN, ERROR_FILEOPEN_STRING, ERROR_FILEREAD, ERROR_FILEREAD_STRING, ERROR_FILEWRITE, ERROR_FILEWRITE_STRING, ERROR_FONT, ERROR_FONT_STRING, ERROR_GRID_ROW_COL, ERROR_GRID_ROW_COL_STRING, ERROR_GROUPDATASET, ERROR_GROUPDATASET_STRING, ERROR_IMAGE, ERROR_IMAGE_STRING, ERROR_INVALID_ALARM_EVENT_ARGUEMENT, ERROR_INVALID_ALARM_EVENT_ARGUEMENT_STRING, ERROR_INVALID_ROUNDED_RECTANGLE_ARGUEMENT, ERROR_INVALID_ROUNDED_RECTANGLE_ARGUEMENT_STRING, ERROR_LEGEND, ERROR_LEGEND_STRING, ERROR_LEGENDITEMSYMBOL, ERROR_LEGENDITEMSYMBOL_STRING, ERROR_LEGENDITEMTEXT, ERROR_LEGENDITEMTEXT_STRING, ERROR_NONE, ERROR_NONE_STRING, ERROR_NULL_ANNUNCIATOR_RECT, ERROR_NULL_ANNUNCIATOR_RECT_STRING, ERROR_NULL_METER_INDICATOR, ERROR_NULL_METER_INDICATOR_STRING, ERROR_NULL_PLOT_TEMPLATE, ERROR_NULL_PLOT_TEMPLATE_STRING, ERROR_NULL_PROCESSVAR, ERROR_NULL_PROCESSVAR_STRING, ERROR_NULLBASEAXIS, ERROR_NULLBASEAXIS_STRING, ERROR_NULLVIEWPORT, ERROR_NULLVIEWPORT_STRING, ERROR_OBJ_NEW, ERROR_OBJ_NEW_STRING, ERROR_OBJECTMISMATCH, ERROR_OBJECTMISMATCH_STRING, ERROR_PLOTOBJ, ERROR_PLOTOBJ_STRING, ERROR_POLARAXES, ERROR_POLARAXES_STRING, ERROR_SCALERANGE, ERROR_SCALERANGE_STRING, ERROR_SCALING, ERROR_SCALING_STRING, ERROR_SHAPE, ERROR_SHAPE_STRING, ERROR_SIMPLEDATASET, ERROR_SIMPLEDATASET_STRING, ERROR_SMALLVIEWPORT, ERROR_SMALLVIEWPORT_STRING, ERROR_SUPERZOOM, ERROR_SUPERZOOM_STRING, ERROR_SYMBOL, ERROR_SYMBOL_STRING, ERROR_TEXT, ERROR_TEXT_STRING, ERROR_TIMELABEL, ERROR_TIMELABEL_STRING, ERROR_WRONGAXISTYPE, ERROR_WRONGAXISTYPE_STRING, ERRORBAR, EXPONENTFORMAT, FASTCLIP_X, FASTCLIP_Y, FEBRUARY, FIXED_X_ASPECT_RATIO_CORRECTION, FIXED_Y_ASPECT_RATIO_CORRECTION, FLOATINGBAR, FNP_DIST, FNP_NORMDIST, FNP_NORMX, FNP_NORMY, FNP_X, FNP_Y, FRIDAY, FRONT_FACE_SELECTION, FULL_PLOTAREA_CLIPPING, FULL_POLYSURFACE_SELECTION, GRADIENT_MAPTO_GRAPH_NORMALIZED_COORDINATES, GRADIENT_MAPTO_OBJECT, GRADIENT_MAPTO_PLOT_NORMALIZED_COORDINATES, GRADIENT_MAPTO_PLOT_PHYSICAL_COORDINATES, GRADIENT_NONE, GRAPH_AREA_CLIPPING, GRAPH_BACKGROUND, GRAPHAREA_BOTTOM, GRAPHAREA_LEFT, GRAPHAREA_RIGHT, GRAPHAREA_TOP, GRAPHTITLE, GRID, GRID_ALL, GRID_MAJOR, GRID_MINOR, GROUP_DATASET, GROUPBAR, HBAR, HIGHLIGHT_COLOR, HISTOGRAMPLOT, HORIZ_DIR, HOUR, HOUR_OF_DAY, ICHARTOBJECTPLOT, IMAGE, INHERIT_CLIPPING, INSET_3D_LOOK, INSIDE_BAR, INSIDE_BARBASE, INSIDE_INDICATOR, INSIDE_PLOTAREA_MAX, INSIDE_PLOTAREA_MIN, INSIDE_RADIUS_BOTTOM, INSIDE_RADIUS_TOP, JANUARY, JULY, JUNE, JUSTIFY_CENTER, JUSTIFY_MAX, JUSTIFY_MIN, LABEL_ALL, LABEL_INTERCEPT, LABEL_MAX, LABEL_MIN, LABEL_ORIGIN, LEFT_BORDER, LEFT_BUTTON, LEFT_CENTERED_PLOTAREA, LEFT_REFERENCED_TEXT, LEFT_SIDE, LEGEND, LEGEND_FOOTER, LEGEND_HEADER, LEGEND_SUBHEAD, LEGENDITEM, LIGHT_LOWER_LEFT, LIGHT_LOWER_RIGHT, LIGHT_NONE, LIGHT_STRAIGHT_ON, LIGHT_UPPER_LEFT, LIGHT_UPPER_RIGHT, LINE, LINEAR_AUTOSCALE, LINEAR_SCALE, LINEAR_SCALE_OBJ, LINEARAXIS, LINEGAP, LINEMARKERPLOT, LINEPLOT, LM_S, LOG_AUTOSCALE, LOG_SCALE, LOG_SCALE_OBJ, LOGAXIS, LS_DASH_2_2, LS_DASH_4_2, LS_DASH_4_4, LS_DASH_8_4, LS_DASH_DOT, LS_DOT_1_1, LS_DOT_1_2, LS_DOT_1_4, LS_DOT_1_8, LS_SOLID, MANUAL_RESIZE_OBJECTS, MARCH, MARKER, MARKER_BOX, MARKER_CROSS, MARKER_HLINE, MARKER_HVLINE, MARKER_NULL, MARKER_VLINE, MAX_LOG_VALUE, MAY, METER_LABEL_HORIZONTAL, METER_LABEL_PERPENDICULAR, METER_LABEL_RADIAL_1, METER_LABEL_RADIAL_2, MILLISECOND, MIN_LOG_VALUE, MINUTE, MONDAY, MONTH, MOVE_X, MOVE_XY, MOVE_Y, MOVING_AVERAGE_X, MOVING_AVERAGE_XY, MOVING_AVERAGE_Y, MTICKS, MULTILINE, NEITHER_AXIS, NO_ASPECT_RATIO_CORRECTION, NO_AUTOSCALE, NO_CLIPPING, NO_DATECROSSOVER, NO_FASTCLIP, NO_RESIZE_OBJECTS, NO_SELECTION, NO_STEP, NOOBJECT, NORM_GRAPH_POS, NORM_PLOT_POS, NORM_PROBABILITY_SCALE_OBJ, NOSYMBOL, NOT_MOVEABLE, NOT_SPECIALCONTROL_TYPE, NOVEMBER, NUMERIC_COORDINATE, NUMERICAXISLABELS, NUMERICLABEL, OBJECT_DISABLE, OBJECT_ENABLE, OBJECT_ENABLE_NODRAW, OBJECT_MOVEABLE, OCTOBER, OHLC, OUTSET_3D_LOOK, OUTSIDE_BAR, OUTSIDE_BARBASE, OUTSIDE_INDICATOR, OUTSIDE_PLOTAREA_MAX, OUTSIDE_PLOTAREA_MIN, OUTSIDE_RADIUS_BOTTOM, OUTSIDE_RADIUS_TOP, OVERLAP_LABEL_DELETE, OVERLAP_LABEL_DRAW, OVERLAP_LABEL_STAGGER, PERCENT_NOPERCENTSIGN_FORMAT, PERCENTFORMAT, PHYS_POS, PHYSICAL_COORDINATES, PICTUREBOX_TYPE, PIECHART, PIELABEL_INSLICE, PIELABEL_NONE, PIELABEL_NUMVALUE, PIELABEL_OUTSLICE, PIELABEL_STRING, PIELABEL_STRINGNUMVAL, PLOT_AREA_CLIPPING, PLOT_BACKGROUND, PLOTAREA_CENTER, PLUS, POLAR_AXIS, POLAR_COORDINATES, POLAR_POS, POLARAXES, POLARAXESLABELS, POLARGRID, POLARLINEPLOT, POLARSCATTERPLOT, POLYSURFACE_SQUAREGRID, POLYSURFACE_TRIANGLEGRID, PRE_RENDER_ALL, PRE_RENDER_AXES, PRE_RENDER_NONE, PRE_RENDER_ZORDER_CHANGE, PRINTER_RENDERING, PROBABILITY_AUTOSCALE, PROBABILITY_AXIS, PROBABILITY_COORDINATES, PROBABILITY_SCALE, PROBABILITY_SIGMA_AXIS, PRT_EXACT, PRT_MAX, PRT_PROP, PRT_RECT, RADIOBUTTON_TYPE, RADIUS_BOTTOM, RADIUS_CENTER, RADIUS_LEFT, RADIUS_RIGHT, RADIUS_TOP, rBadDataValue, RENDER_HIGHQUALITY, RENDER_LOWQUALITY, RENDER_STANDARDQUALITY, REPLACE_DATECROSSOVER, RIGHT_BORDER, RIGHT_BUTTON, RIGHT_CENTERED_PLOTAREA, RIGHT_REFERENCED_TEXT, RIGHT_SIDE, ROUNDED_RECTANGLE2D, ROW_MAJOR, RT_3DFRAME, RT_ALARM, RT_ALARM_GREATERTHAN, RT_ALARM_INDICATOR, RT_ALARM_LIMIT_BACKGROUND_INDICATOR, RT_ALARM_LIMIT_LINE_INDICATOR, RT_ALARM_LIMIT_SYMBOL_INDICATOR, RT_ALARM_LOWERTHAN, RT_ALARM_NONE, RT_ALARM_PANEL_METER, RT_ANNUNCIATOR_PLOT, RT_AUTO_BARGRAPH, RT_AUTO_METER, RT_AUTO_SCROLL_GRAPH, RT_AUTOSCALE_X, RT_AUTOSCALE_X_CURRENT_SCALE, RT_AUTOSCALE_X_MAX, RT_AUTOSCALE_X_MIN, RT_AUTOSCALE_X_MINMAX, RT_AUTOSCALE_Y, RT_AUTOSCALE_Y_CURRENT_SCALE, RT_AUTOSCALE_Y_MAX, RT_AUTOSCALE_Y_MIN, RT_AUTOSCALE_Y_MINMAX, RT_BAR_INDICATOR, RT_BAR_NUMERIC_VALUE, RT_BAR_SEGMENTED_SUBTYPE, RT_BAR_SINGLE_SEGMENT_SUBTYPE, RT_BAR_SOLID_SUBTYPE, RT_BAR_TIME_VALUE, RT_BARTAG, RT_BOTTOM_HIGH_ALARM_SYMBOL, RT_BOTTOM_LOW_ALARM_SYMBOL, RT_BOTTOM_SETPOINT_SYMBOL, RT_CEILING_VALUE, RT_COMBO_PROCESSVAR, RT_CONTROL_BUTTON_TYPE, RT_CONTROL_MOMENTARYBUTTON_SUBTYPE, RT_CONTROL_RADIOBUTTON_SUBTYPE, RT_CONTROL_SCROLLBAR_TYPE, RT_CONTROL_TOGGLEBUTTON_SUBTYPE, RT_CONTROL_TRACKBAR_TYPE, RT_CUSTOM_STRING, RT_DATASET, RT_DETALED_DESCRIPTION_STRING, RT_DISPLAY_ALL_ALARMS, RT_DISPLAY_NO_ALARM, RT_DISPLAY_PRIMARY_ALARM, RT_FIXEDEXTENT_AUTOWRAP_AUTOSCROLL, RT_FIXEDEXTENT_MOVINGSTART_AUTOSCROLL, RT_FIXEDNUMPOINT_AUTOSCROLL, RT_FLOOR_VALUE, RT_FORM_CONTROL, RT_FORM_CONTROL_GRID, RT_FORM_CONTROL_PANEL_METER, RT_GEN_SHAPE, RT_GRAPH_OBJ, RT_GROUP_DATASET, RT_GROUP_MULTIVALUE_PLOT, RT_INDICATOR_COLOR_CHANGE_ON_ALARM, RT_INDICATOR_COLOR_NO_ALARM_CHANGE, RT_INDICATORRECT_CONTROL_SIZE, RT_LEFT_HIGH_ALARM_SYMBOL, RT_LEFT_LOW_ALARM_SYMBOL, RT_LEFT_SETPOINT_SYMBOL, RT_MAXEXTENT_FIXEDSTART_AUTOSCROLL, RT_METER_ARC_BAND_SUBTYPE, RT_METER_ARC_FLAT_CAP, RT_METER_ARC_INDICATOR, RT_METER_ARC_RADIUS_CAP, RT_METER_ARC_WEDGE_WIDTH_CAP, RT_METER_AXIS, RT_METER_AXIS_LABELS, RT_METER_COORDINATES, RT_METER_FACEPLATE, RT_METER_INDICATOR, RT_METER_NEEDLE_ARROW_SUBTYPE, RT_METER_NEEDLE_INDICATOR, RT_METER_NEEDLE_PIEWEDGE_SUBTYPE, RT_METER_NEEDLE_SIMPLE_SUBTYPE, RT_METER_SEGMENTED_ARC_SUBTYPE, RT_METER_SINGLE_SEGMENT_ARC_SUBTYPE, RT_METER_SINGLE_SYMBOL_SUBTYPE, RT_METER_STRING_AXIS_LABELS, RT_METER_SYMBOL_ARC_SUBTYPE, RT_METER_SYMBOL_INDICATOR, RT_MIN_CONTROL_SIZE, RT_MONOTONIC_X_MODE, RT_MULTIALARM_INDICATOR, RT_MULTIBAR_INDICATOR, RT_MULTIPOINTER_INDICATOR, RT_MULTIVALUE_ANNUNCIATOR, RT_MULTIVALUE_INDICATOR, RT_NMETER, RT_NO_ALARM_LIMIT_INDICATOR, RT_NO_AUTOSCALE_X, RT_NO_AUTOSCALE_Y, RT_NO_SYMBOL, RT_NOT_MONOTONIC_X_MODE, RT_NUMERIC_PANEL_METER, RT_ORIG_CONTROL_SIZE, RT_PIDCONTROL, RT_PLOT, RT_POINTER_INDICATOR, RT_POINTER_SUBTYPE, RT_PROCESSVAR, RT_PROCESSVAR_ALARM, RT_RIGHT_HIGH_ALARM_SYMBOL, RT_RIGHT_LOW_ALARM_SYMBOL, RT_RIGHT_SETPOINT_SYMBOL, RT_ROUND_VALUE, RT_SCROLL_FRAME, RT_SETPOINT_VALUE, RT_SHAPE_ELLIPSE, RT_SHAPE_RECTANGLE, RT_SHAPE_ROUNDEDRECTANGLE, RT_SHORT_DESCRIPTION_STRING, RT_SIMPLE_DATASET, RT_SIMPLE_SINGLEVALUE_PLOT, RT_SINGLE_CHANNEL_PANEL_METER, RT_SINGLE_VALUE_INDICATOR, RT_STRING_PANEL_METER, RT_SYMBOL, RT_TAG_STRING, RT_TEXT_BACKGROUND_COLOR_CHANGE_ON_ALARM, RT_TEXTFRAME, RT_TIME_GROUP_DATASET, RT_TIME_PANEL_METER, RT_TIME_SIMPLE_DATASET, RT_TOP_HIGH_ALARM_SYMBOL, RT_TOP_LOW_ALARM_SYMBOL, RT_TOP_SETPOINT_SYMBOL, RT_TRACKBAR_HORIZONTAL_CENTER_POINTER, RT_TRACKBAR_HORIZONTAL_DOWN_POINTER, RT_TRACKBAR_VERTICAL_CENTER_POINTER, RT_TRACKBAR_VERTICAL_RIGHT_POINTER, RT_UNIQUEID_STRING, RT_UNITS_STRING, RTPID_POSITIONCONTROL, RTPID_VELOCITYCONTROL, SATURDAY, SCALE_FACTOR_SIZE, SCATTERPLOT, SCIENTIFICFORMAT, SCREEN_RENDERING, SCROLLBAR_TYPE, SECOND, SECONDSPERDAY, SEPTEMBER, SHADOW_COLOR, SHAPE, SIGMA_FORMAT, SIMPLE_DATASET, SIMPLE_PLOTAREA_CLIPPING, SIMPLEBUTTON_TYPE, SIMPLECOLORMODE, SIMPLEGRADIENTMODE, SIZE_BUBBLE_AREA, SIZE_BUBBLE_RADIUS, sizeOfDouble, SQUARE, STACKEDBAR, STACKEDLINE, STAR, STEP_END, STEP_NO_RISE_LINE, STEP_START, STRINGAXISLABELS, STRINGLABEL, SUNDAY, SYMBOL, TEXT, THURSDAY, TICK_MAJOR, TICK_MINOR, TICKS, TIME_AUTOSCALE, TIME_COORDINATE, TIME_COORDINATES, TIME_GROUP_DATASET, TIME_SCALE, TIME_SCALE_OBJ, TIME_SIMPLE_DATASET, TIMEAXIS, TIMEAXIS_10MINUTEMINUTE, TIMEAXIS_10SECONDSECOND, TIMEAXIS_10YEARYEAR, TIMEAXIS_12HOURHOUR, TIMEAXIS_15MINUTEMINUTE, TIMEAXIS_15SECONDSECOND, TIMEAXIS_20YEAR5YEAR, TIMEAXIS_2HOURHOUR, TIMEAXIS_2MINUTEMINUTE, TIMEAXIS_2SECONDSECOND, TIMEAXIS_30MINUTEMINUTE, TIMEAXIS_30SECONDSECOND, TIMEAXIS_4HOURHOUR, TIMEAXIS_50YEAR10YEAR, TIMEAXIS_5MINUTEMINUTE, TIMEAXIS_5SECONDSECOND, TIMEAXIS_5YEARYEAR, TIMEAXIS_8HOURHOUR, TIMEAXIS_DAY, TIMEAXIS_DAY12HOUR, TIMEAXIS_DAY2HOUR, TIMEAXIS_DAY4HOUR, TIMEAXIS_DAY8HOUR, TIMEAXIS_DAYHOUR, TIMEAXIS_HOUR, TIMEAXIS_HOUR10MINUTE, TIMEAXIS_HOUR15MINUTE, TIMEAXIS_HOUR2MINUTE, TIMEAXIS_HOUR30MINUTE, TIMEAXIS_HOUR5MINUTE, TIMEAXIS_HOURMINUTE, TIMEAXIS_MILLISECOND, TIMEAXIS_MILLISECOND1, TIMEAXIS_MILLISECOND2, TIMEAXIS_MILLISECOND3, TIMEAXIS_MINUTE, TIMEAXIS_MINUTE10SECOND, TIMEAXIS_MINUTE15SECOND, TIMEAXIS_MINUTE2SECOND, TIMEAXIS_MINUTE30SECOND, TIMEAXIS_MINUTE5SECOND, TIMEAXIS_MINUTESECOND, TIMEAXIS_MONTH, TIMEAXIS_MONTHDAY, TIMEAXIS_MONTHWEEK, TIMEAXIS_QUARTER, TIMEAXIS_QUARTERMONTH, TIMEAXIS_SECOND, TIMEAXIS_SECONDMILLISECOND, TIMEAXIS_WEEK, TIMEAXIS_WEEKDAY, TIMEAXIS_YEAR, TIMEAXIS_YEARMONTH, TIMEAXIS_YEARQUARTER, TIMEAXISLABELS, TIMEBASE_DAY, TIMEBASE_HOUR, TIMEBASE_MILLISECOND, TIMEBASE_MINUTE, TIMEBASE_MONTH, TIMEBASE_SECOND, TIMEBASE_TICKS, TIMEBASE_WEEK, TIMEBASE_YEAR, TIMEDATEFORMAT, TIMEDATEFORMAT_12HM, TIMEDATEFORMAT_12HMS, TIMEDATEFORMAT_12HMSD, TIMEDATEFORMAT_12HMSDD, TIMEDATEFORMAT_24HM, TIMEDATEFORMAT_24HMS, TIMEDATEFORMAT_24HMSD, TIMEDATEFORMAT_24HMSDD, TIMEDATEFORMAT_D, TIMEDATEFORMAT_DDD, TIMEDATEFORMAT_DDDD, TIMEDATEFORMAT_DMY, TIMEDATEFORMAT_DMY2000, TIMEDATEFORMAT_M, TIMEDATEFORMAT_MDY, TIMEDATEFORMAT_MDY2000, TIMEDATEFORMAT_MMM, TIMEDATEFORMAT_MMMM, TIMEDATEFORMAT_MS, TIMEDATEFORMAT_MSD, TIMEDATEFORMAT_MSDD, TIMEDATEFORMAT_MSDDD, TIMEDATEFORMAT_MY, TIMEDATEFORMAT_MY2000, TIMEDATEFORMAT_NONE, TIMEDATEFORMAT_Q, TIMEDATEFORMAT_STANDARD, TIMEDATEFORMAT_Y, TIMEDATEFORMAT_Y2000, TIMELABEL, TOP_BORDER, TOP_SIDE, TRACKBAR_TYPE, TransparentColor, TUESDAY, UNDECIMBER, UNDER_DATECROSSOVER, UPTRIANGLE, USER_COORD_MAX, USER_COORDINATES, USER_POS, USERGRADIENTMODE, USERTEXTUREMODE, VBAR, VERT_DIR, WEDNESDAY, WEEK_5D, WEEK_7D, WEEK_OF_MONTH, WEEK_OF_YEAR, WORKING_COORDINATES, WORLD_COORDINATES, X_AXIS, XY_MAXZ_PLANE, XY_MINZ_PLANE, XY_PLANE, XZ_MAXY_PLANE, XZ_MINY_PLANE, XZ_PLANE, Y_AXIS, YEAR, YZ_MAXX_PLANE, YZ_MINX_PLANE, YZ_PLANE, Z_AXIS, ZOOM

Constructor Summary

SimpleDataset()
The default SimpleDataset constructor.

SimpleDataset(CSV csv, java.lang.String filename, int rowskip, int columnskip)
This constructor creates a new SimpleDataset object from a file consisting of comma separated values.

SimpleDataset(java.lang.String sname, double[] x, double[] y)
This constructor creates a new, simple SimpleDataset object initializing each value with the values of the source x- and y- arrays.

SimpleDataset(java.lang.String sname, double[] x, double[] y, boolean[] valid)
This constructor creates a new, simple SimpleDataset object initializing each value with the values of the source x- and y- arrays.

SimpleDataset(java.lang.String sname, double[] x, double[] y, boolean[] valid, int n)
This constructor creates a new, simple SimpleDataset object initializing each value with the values of the source x- and y- arrays.

SimpleDataset(java.lang.String sname, int n)
This constructor creates a new, simple SimpleDataset object.

Method Summary

int	addDataPoint(ChartPoint2D p) This method adds a new xy point to a dataset, increasing its size by one.
int	addDataPoint(double x, double y) This method adds a new xy point to a dataset, increasing its size by one.
boolean	calcNearestPoint(PhysicalCoordinates transform, ChartPoint2D testpoint, int nmode, NearestPointData nearestpoint) This method compares a test point against all of the xy points in a simple dataset and calculates which point in the dataset is nearest the test point.
boolean	checkValidData(PhysicalCoordinates transform, int index) This method checks to see if the x- and y-data values for a given index are valid, taking into account any discontinuities in the coordinate system.
boolean	checkValidDataX(PhysicalCoordinates transform, int index) This method checks to see if the x-data value is valid, taking into account any discontinuities in the coordinate system.
boolean	checkValidDataY(PhysicalCoordinates transform, int index) This method checks to see if the y-data value is valid, taking into account any discontinuities in the coordinate system.
java.lang.Object	clone() Returns an object that is a clone of this SimpleDataset object.
void	combineDataset(SimpleDataset source, int combinecoord, int op) Combine this dataset with another, using one of three combine modes (COMBINE_DATASET_X, COMBINE_DATASET_Y, or COMBINE_DATASET_XY), and four combine operators (COMBINE_DATASET_ADD, COMBINE_DATASET_SUBTRACT, COMBINE_DATASET_MUTLIPLY or COMBINE_DATASET_DIVIDE).
SimpleDataset	compressSimpleDataset(int ctypex, int ctypey, int interval, int startindex, int endindex, java.lang.String newname) This methods creates and returns a new dataset that is the data reduced version of the source dataset.
void	convertToMovingAverage(int averagepoints, int convertMode) Converts the current dataset to a moving average version of its former self.
void	copy(SimpleDataset source) Copies the source dataset.
int	deleteDataPoint(int deletepoint) Deletes a data point at the specified location, decreasing the size of the dataset by one.
int	errorCheck(int nerror) Checks the simple dataset object for common errors.
double	getAverageY() Returns the average of the y-values in the dataset.
ChartPoint2D	getDataPoint(int index) This method returns the x- and y-value of a point at the specified index.
double	getDatasetMax(int naxis) This method returns the maximum value for either the xData or yData arrays.
double	getDatasetMin(int naxis) This method returns the minimum value for either the xData or yData arrays.
SimpleDataset	getFastClipDataset(java.lang.String s, PhysicalCoordinates transform, int fastclipmode, java.lang.Integer fastclipoffset) This method returns a truncated dataset that only includes the datapoints within the current scaling limits, assuming the the data is monotonic in the x or y direction.
int	getFirstValidIndex() This method returns the index of the first valid data point in a simple dataset.
double	getGroupDatasetSumMax(int naxis) This method returns the maximum value for either the xData array, or the maximum of the sum across groups for each index of the yGroupData array.
double	getGroupDatasetSumMin(int naxis) This method returns the minimum value for either the xData array, or the minimum of value in group #0 of the yGroupData array.
int	getNumberGroups() This method returns the value of the nNumGroups field which is number of groups in a group dataset.
double	getSumY() Returns the sum of the y-values in the dataset.
double[]	getYData() This method returns a reference to the yData array, the array of y-values for simple datasets.
DoubleArray	getYDataObj() This method returns a reference to the internal DoubleArray object used to store the y-data values.
double	getYDataValue(int index) This method returns the y-value in a simple dataset.
double	getYDataValue(int group, int index) This method resolves the generalized getYDataValue method int the abstract ChartDataset class.
void	initDataset(java.lang.String sname, double[] x, double[] y) an SimpleDataset initialization method that initializes the name, x- and y-data values of a simple dataset.
void	initializeData(double[] x, double[] y) A SimpleDataset initialization method that initializes the x- and y-data values of a simple dataset.
int	insertDataPoint(ChartPoint2D p, int insertpoint) Insert a data point at the specified location, increasing the size of the dataset by one.
int	insertDataPoint(double xvalue, double yvalue, int insertpoint) Insert a data point at the specified location, increasing the size of the dataset by one.
boolean	isDataPointGood(int index) This method checks if the point at the specified index for a simple dataset is valid.
void	readSimpleDataset(CSV csv, java.lang.String filename, int rowskip, int columnskip) This methods will open a text file and read the CSV (Comma Separated Value) formatted data values in that file.
void	readSimpleDatasetAsResource(CSV csv, java.io.BufferedReader pReader, int rowskip, int columnskip) This methods will open a text file and read the CSV (Comma Separated Value) formatted data values in that file.
void	resetBuffer() This method resets the buffer back to its original state.
int	resize(int n) Resizes the dataset, maintaining the original data.
void	setDataPoint(int index, ChartPoint2D p) Sets the x- and y-values for a data point in a simple dataset.
void	setDataPoint(int index, double x, double y) Sets the x- and y-values for a data point in a simple dataset.
void	setYData(double[] yvalues) This method sets the values of the yData array, the array of y-values for simple and group datasets.
void	setYData(DoubleArray yvalues) This method sets the values of the yData array, the array of y-values for simple and group datasets.
void	setYDataValue(int index, double y) Sets the y-value in a simple dataset.
void	setYDataValue(int group, int index, double y) This method resolves the generalized setYDataValue method int the abstract ChartDataset class.
void	sortByX(boolean ascending) Sorts the array elements of the dataset using the values of the xData array as the sort key.
static java.util.Vector<SimpleDataset>	TypeSafeVectorCopy(java.util.Vector<SimpleDataset> source) Returns an object that is a typesafe copy of the source Vector object.
void	writeSimpleDataset(CSV csv, java.lang.String filename) This methods will create a text file and output the dataset to that file in a CSV (Comma Separated Value) format.
void	writeSimpleDataset(CSV csv, java.lang.String filename, boolean append) This methods will create a text file and output the dataset to that file in a CSV (Comma Separated Value) format.
DoubleArray	yData() This method returns a reference to the DoubleArray object used to store the y-values of the dataset.

Methods inherited from class com.quinncurtis.chart2djava.ChartDataset

copy, getAutoCompressDatasetModeX, getAutoCompressDatasetModeY, getAutoCompressDivisor, getAutoCompressTriggerValue, getAutoDataCompressEnable, getAverageX, getDataName, getFastClipOffset, getGroupString, getGroupStrings, getMarkLookaheadLimit, getNumberDatapoints, getStackMode, getSumX, getTimeScaleAxis, getValidData, getValidData, getValidDataObj, getXCoordinateType, getXData, getXDataObj, getXDataValue, getYCoordinateType, setAutoCompressDatasetModeX, setAutoCompressDatasetModeY, setAutoCompressDivisor, setAutoCompressTriggerValue, setAutoDataCompressEnable, setDataName, setFastClipOffset, setMarkLookaheadLimit, setStackMode, setTimeXData, setValidData, setXCoordinateType, setXData, setXData, setXDataValue, setYCoordinateType, ValidData, XData

Methods inherited from class com.quinncurtis.chart2djava.ChartObj

copy, getChartObjIDCntr, getChartObjType, getThisChartObjID, TypeSafeVectorCopy

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SimpleDataset

public SimpleDataset()

The default SimpleDataset constructor.

SimpleDataset

public SimpleDataset(CSV csv,
                     java.lang.String filename,
                     int rowskip,
                     int columnskip)

This constructor creates a new SimpleDataset object from a file consisting of comma separated values. The CSV object can be used to specify the orientation of the x and y data arrays in the source *.CSV file.

Parameters:

csv - An instance of an CSV object.

filename - The name of the file.

rowskip - Skip this many rows before starting the read operation.

columnskip - For each row of data, skip this many columns before reading the first value from the row.

SimpleDataset

public SimpleDataset(java.lang.String sname,
                     double[] x,
                     double[] y)

This constructor creates a new, simple SimpleDataset object initializing each value with the values of the source x- and y- arrays.

Parameters:

sname - Specifies the name of the dataset.

x - An array that specifies the x-values of a dataset.

y - An array that specifies the y-values of a dataset.

SimpleDataset

public SimpleDataset(java.lang.String sname,
                     double[] x,
                     double[] y,
                     boolean[] valid)

This constructor creates a new, simple SimpleDataset object initializing each value with the values of the source x- and y- arrays.

Parameters:

sname - Specifies the name of the dataset.

x - An array that specifies the x-values of a dataset.

y - An array that specifies the y-values of a dataset.

valid - An array that specifies the valid values of a dataset.

SimpleDataset

public SimpleDataset(java.lang.String sname,
                     double[] x,
                     double[] y,
                     boolean[] valid,
                     int n)

This constructor creates a new, simple SimpleDataset object initializing each value with the values of the source x- and y- arrays.

Parameters:

sname - Specifies the name of the dataset.

x - An array that specifies the x-values of a dataset.

y - An array that specifies the y-values of a dataset.

valid - An array that specifies the valid values of a dataset.

n - Specifies the number of data points to use out of the x, y and valid arrays. This value must be less than equal to x.length.

SimpleDataset

public SimpleDataset(java.lang.String sname,
                     int n)

This constructor creates a new, simple SimpleDataset object. The data values of the dataset initially set to 0.0.

Parameters:

sname - Specifies the name of the dataset.

n - Specifies the number of xy data point pairs in x and y.

Method Detail

addDataPoint

public int addDataPoint(ChartPoint2D p)

This method adds a new xy point to a dataset, increasing its size by one.

Parameters:

p - Specifies the new data point to append to the end of the dataset.

Returns:

Returns the new number of datapoints .

addDataPoint

public int addDataPoint(double x,
                        double y)

This method adds a new xy point to a dataset, increasing its size by one.

Parameters:

x - Specifies the new x-value for the data point to append to the end of the dataset.

y - Specifies the new y-value for the data point to append to the end of the dataset.

Returns:

Returns the new number of datapoints .

calcNearestPoint

public boolean calcNearestPoint(PhysicalCoordinates transform,
                                ChartPoint2D testpoint,
                                int nmode,
                                NearestPointData nearestpoint)

This method compares a test point against all of the xy points in a simple dataset and calculates which point in the dataset is nearest the test point. The nearness test has many different forms: FNP_X = nearest x, FNP_Y = nearest y, FNP_DIST = shortest distance, FNP_NORMX = nearest normalized x, FNP_NORMY = nearest normalized y, FNP_NORMDIST = shortest normalized distance.

Specified by:

calcNearestPoint in class ChartDataset

Parameters:

transform - The coordinate system of the test point.

testpoint - The test point for the nearness calculation.

nmode - Specifies the algorithm used in the nearness calculation.

nearestpoint - Returns the parameters of the nearest point.

Returns:

Returns true if a valid data point is found and returned.

checkValidData

public boolean checkValidData(PhysicalCoordinates transform,
                              int index)

This method checks to see if the x- and y-data values for a given index are valid, taking into account any discontinuities in the coordinate system. For example, an TimeScale can be discontinue WEEK_5D mode, or when it has an hour range that is not the standard 24-hour day. If the x-value, or any of the y-values at a given index are invalid, the method returns false.

Parameters:

transform - Specifies the coordinate system being used to plot the data.

index - Specifies the index to check in the group data arrays.

Returns:

Returns true only if the x- and y-values for a given index are true.

checkValidDataX

public boolean checkValidDataX(PhysicalCoordinates transform,
                               int index)

This method checks to see if the x-data value is valid, taking into account any discontinuities in the coordinate system. For example, an TimeScale can be discontinue WEEK_5D mode, or when it has an hour range that is not the standard 24-hour day. Any data value in one of the discontinuities is considered invalid.

Parameters:

transform - Specifies the coordinate system being used to plot the data.

index - Specifies the index to check in the xData array.

Returns:

Returns true if the x-data value is considered valid.

checkValidDataY

public boolean checkValidDataY(PhysicalCoordinates transform,
                               int index)

This method checks to see if the y-data value is valid, taking into account any discontinuities in the coordinate system. For example, an TimeScale can be discontinue WEEK_5D mode, or when it has an hour range that is not the standard 24-hour day. Any data value in one of the discontinuities is considered invalid.

Parameters:

transform - Specifies the coordinate system being used to plot the data.

index - Specifies the index to check in the yData array.

Returns:

Returns true if the y-data value is considered valid.

clone

public java.lang.Object clone()

Returns an object that is a clone of this SimpleDataset object.

Overrides:

clone in class java.lang.Object

Returns:

Returns a clone of this SimpleDataset object.

combineDataset

public void combineDataset(SimpleDataset source,
                           int combinecoord,
                           int op)

Combine this dataset with another, using one of three combine modes (COMBINE_DATASET_X, COMBINE_DATASET_Y, or COMBINE_DATASET_XY), and four combine operators (COMBINE_DATASET_ADD, COMBINE_DATASET_SUBTRACT, COMBINE_DATASET_MUTLIPLY or COMBINE_DATASET_DIVIDE). The datasets are combined element by element.

Parameters:

source - The the data elements of the source datasets are combined with the current dataset, element by element, using the combine operator.

combinecoord - Specifies which coordinates of the two datasets are combined. Use one of the dataset combine mode constants: COMBINE_DATASET_X, COMBINE_DATASET_Y, or COMBINE_DATASET_XY.

op - Specifies how each element of the two datasets are combined. Use one of the dataset combine operator constants: COMBINE_DATASET_ADD, COMBINE_DATASET_SUBTRACT, COMBINE_DATASET_MUTLIPLY or COMBINE_DATASET_DIVIDE.

compressSimpleDataset

public SimpleDataset compressSimpleDataset(int ctypex,
                                           int ctypey,
                                           int interval,
                                           int startindex,
                                           int endindex,
                                           java.lang.String newname)

This methods creates and returns a new dataset that is the data reduced version of the source dataset. The new, compressed dataset will contain ((endindex - startindex + 1) / interval) datapoints, except for the DATACOMPRESS_MINMAX compress algorithm which is the previous formula x 2.

Parameters:

ctypex - The compression type for the x-values. Use one of the data compression type constants: DATACOMPRESS_NONE (returns a dataset containing the points in the specified range, no compression), DATACOMPRESS_SKIP (sample the dataset every interval points), DATACOMPRESS_AVERAGE (use the average x- and y-value in each interval), DATACOMPRESS_MIN (use the minimum x- and y-value in each interval), DATACOMPRESS_MAX (use the maximum x- and y-value in each interval), and DATACOMPRESS_MINMAX (use the minimum and maximum x- and y-value in each interval). The DATACOMPRESS_MINMAX compression type is best used when the compressed data values number more than 1000, where adjacent data values in the rendered chart differ by one horizontal pixel or less. The DATACOMPRESS_MINMAX compression type will guarantee that the chart displays the same minimums and maximums as the original dataset.

ctypey - The compression type for the y-values. Use one of the he data compression type constants.

interval - The number of data points in each segment that is reduced to a single datapoint (two for the DATACOMPRESS_MINMAX compression type) in the compressed dataset.

startindex - The starting point, inclusive, in the source dataset for the data compression.

endindex - The ending index, inclusive, in the source dataset for the data compression.

newname - The string name for the new dataset.

Returns:

Returns the new, compressed SimpleDataset.

convertToMovingAverage

public void convertToMovingAverage(int averagepoints,
                                   int convertMode)

Converts the current dataset to a moving average version of its former self. The new number of datapoints is equal to (old number of data points - averagepoints + 1).

Parameters:

averagepoints - The length of the moving average window.

convertMode - The moving average can be carried out using the x-values, the y-values or both x- and y-values. Use one the moving average constants: MOVING_AVERAGE_X, MOVING_AVERAGE_Y, or MOVING_AVERAGE_XY.

copy

public void copy(SimpleDataset source)

Copies the source dataset.

Parameters:

source - The source dataset object.

deleteDataPoint

public int deleteDataPoint(int deletepoint)

Deletes a data point at the specified location, decreasing the size of the dataset by one.

Parameters:

deletepoint - The delete point. Zero based array indexing is used, so the 5th data point in the array has an index value of 4. //@return Returns the new number of datapoints .

errorCheck

public int errorCheck(int nerror)

Checks the simple dataset object for common errors.

Overrides:

errorCheck in class ChartDataset

Parameters:

nerror - Current error state

Returns:

Returns an error code.

getAverageY

public double getAverageY()

Returns the average of the y-values in the dataset.

Returns:

Returns the average of the y-values in the dataset.

getDataPoint

public ChartPoint2D getDataPoint(int index)

This method returns the x- and y-value of a point at the specified index.

Parameters:

index - Specifies the index of the data point.

Returns:

Returns a ChartPoint2D object that contains the x- and y-values of the data point at the specified index.

getDatasetMax

public double getDatasetMax(int naxis)

This method returns the maximum value for either the xData or yData arrays. If the x-values use GregorianCalendar dates, the equivalent of the date in seconds is returned.

Specified by:

getDatasetMax in class ChartDataset

Parameters:

naxis - Specifies which data array to return the maximum value from. UseX_AXIS for the xData array, andY_AXIS for yData array.

Returns:

Returns the maximum value of the specified data array.

getDatasetMin

public double getDatasetMin(int naxis)

This method returns the minimum value for either the xData or yData arrays. If the x-values use GregorianCalendar dates, the equivalent of the date in seconds is returned.

Specified by:

getDatasetMin in class ChartDataset

Parameters:

naxis - Specifies which data array to return the minimum value from. UseX_AXIS for the xData array, andY_AXIS for yData array.

Returns:

Returns the minimum value of the specified data array.

getFastClipDataset

public SimpleDataset getFastClipDataset(java.lang.String s,
                                        PhysicalCoordinates transform,
                                        int fastclipmode,
                                        java.lang.Integer fastclipoffset)

This method returns a truncated dataset that only includes the datapoints within the current scaling limits, assuming the the data is monotonic in the x or y direction.

Parameters:

s - A string specifying the new name of the dataset.

transform - The transform that the dataset is clipped against.

fastclipmode - Specifies if the data is clipped against the x-coordinate (FASTCLIP_X, FASTCLIP_Y). )

fastclipoffset - Returns the start offset of the fast clip data.

Returns:

Returns the truncated dataset.

getFirstValidIndex

public int getFirstValidIndex()

This method returns the index of the first valid data point in a simple dataset.

Returns:

Returns the index of the first valid data point in a simple dataset. If the value of the returned index is outside of the range 0 to numberDatapoints-1, the dataset has no valid data points.

getGroupDatasetSumMax

public double getGroupDatasetSumMax(int naxis)

This method returns the maximum value for either the xData array, or the maximum of the sum across groups for each index of the yGroupData array. If the x-values use GregorianCalendar dates, the equivalent of the date in seconds is returned. This method is used by the auto-scale routines to determine the maximum scale value for "stacked" graphs that use group data.

Specified by:

getGroupDatasetSumMax in class ChartDataset

Parameters:

naxis - Specifies which data array to return the maximum value from. UseX_AXIS for the xData array, andY_AXIS for the yGroupData array.

Returns:

Returns the maximum value of the specified data array.

getGroupDatasetSumMin

public double getGroupDatasetSumMin(int naxis)

This method returns the minimum value for either the xData array, or the minimum of value in group #0 of the yGroupData array. If the x-values use GregorianCalendar dates, the equivalent of the date in seconds is returned. This method is used by the auto-scale routines to determine the minimum scale value for "stacked" graphs that use group data.

Specified by:

getGroupDatasetSumMin in class ChartDataset

Parameters:

naxis - Specifies which data array to return the minimum value from. UseX_AXIS for the xData array, andY_AXIS for the yGroupData array.

Returns:

Returns the minimum value of the specified data array.

getNumberGroups

public int getNumberGroups()

This method returns the value of the nNumGroups field which is number of groups in a group dataset.

Specified by:

getNumberGroups in class ChartDataset

Returns:

Returns the value of the nNumGroups field.

getSumY

public double getSumY()

Returns the sum of the y-values in the dataset.

Returns:

Returns the sum of the y-values in the dataset.

getYData

public double[] getYData()

This method returns a reference to the yData array, the array of y-values for simple datasets.

Returns:

Returns a reference to the yData array.

getYDataObj

public DoubleArray getYDataObj()

This method returns a reference to the internal DoubleArray object used to store the y-data values.

Returns:

Returns a reference to the internal DoubleArray object used to store the y-data values.

getYDataValue

public double getYDataValue(int index)

This method returns the y-value in a simple dataset.

Parameters:

index - Specifies the index of the y-value values.

Returns:

Returns the y-value for the data point at the specified index.

getYDataValue

public double getYDataValue(int group,
                            int index)

This method resolves the generalized getYDataValue method int the abstract ChartDataset class.

Specified by:

getYDataValue in class ChartDataset

Parameters:

group - Specifies the group of the y-value.

index - Specifies the index of the y-value.

Returns:

Returns the y-value of the data point at the specified index and group.

initDataset

public void initDataset(java.lang.String sname,
                        double[] x,
                        double[] y)

an SimpleDataset initialization method that initializes the name, x- and y-data values of a simple dataset.

Parameters:

sname - Specifies the name of the dataset.

x - An array that specifies the x-values of a dataset.

y - An array the y-values of a dataset.

initializeData

public void initializeData(double[] x,
                           double[] y)

A SimpleDataset initialization method that initializes the x- and y-data values of a simple dataset.

Parameters:

x - An array that specifies the x-values of a dataset.

y - An array the y-values of a dataset.

insertDataPoint

public int insertDataPoint(ChartPoint2D p,
                           int insertpoint)

Insert a data point at the specified location, increasing the size of the dataset by one.

Parameters:

p - The new data point to insert.

insertpoint - The insertion point of the data. Zero based array indexing is used, so the 5th data point in the array has an index value of 4. //@return Returns the new number of datapoints .

insertDataPoint

public int insertDataPoint(double xvalue,
                           double yvalue,
                           int insertpoint)

Insert a data point at the specified location, increasing the size of the dataset by one.

Parameters:

xvalue - The x-value of the point to insert.

yvalue - The y-value of the point to insert

insertpoint - The insertion point of the data. Zero based array indexing is used, so the 5th data point in the array has an index value of 4. //@return Returns the new number of datapoints .

isDataPointGood

public boolean isDataPointGood(int index)

This method checks if the point at the specified index for a simple dataset is valid.

Specified by:

isDataPointGood in class ChartDataset

Parameters:

index - Specifies the index to check in the xData and yData arrays.

Returns:

Returns true if the data point is valid.

readSimpleDataset

public void readSimpleDataset(CSV csv,
                              java.lang.String filename,
                              int rowskip,
                              int columnskip)

This methods will open a text file and read the CSV (Comma Separated Value) formatted data values in that file. A CSV file can be created by popular spreadsheet and word processing programs. Some localization for different operating systems and locales can be handled by the modifying the default csv (CSV) object. The file can be organized so that the columns represent groups and the rows represent data values for each group (COLUMN_MAJOR), or the where the rows represent groups and the columns represent data values for each group (ROW_MAJOR). Use the CSV.setOrientation method to initialize the csv argument for the proper data orientation.

Parameters:

csv - An instance of an CSV object.

filename - The name of the file.

rowskip - Skip this many rows before starting the read operation.

columnskip - For each row of data, skip this many columns before reading the first value from the row.

readSimpleDatasetAsResource

public void readSimpleDatasetAsResource(CSV csv,
                                        java.io.BufferedReader pReader,
                                        int rowskip,
                                        int columnskip)

This methods will open a text file and read the CSV (Comma Separated Value) formatted data values in that file. A CSV file can be created by popular spreadsheet and word processing programs. Some localization for different operating systems and locales can be handled by the modifying the default csv (CSV) object. The file can be organized so that the columns represent groups and the rows represent data values for each group (COLUMN_MAJOR), or the where the rows represent groups and the columns represent data values for each group (ROW_MAJOR). Use the CSV.setOrientation method to initialize the csv argument for the proper data orientation.

Parameters:

csv - An instance of an CSV object.

pReader - A BufferedReader data stream. Must support BufferedReader mark and reset methods.

rowskip - Skip this many rows before starting the read operation.

columnskip - For each row of data, skip this many columns before reading the first value from the row.

resetBuffer

public void resetBuffer()

This method resets the buffer back to its original state.

resize

public int resize(int n)

Resizes the dataset, maintaining the original data. If the new dataset is larger the dataset is padded with zeros. If the new dataset is smaller the original data is truncated to the new size.

Parameters:

n - The new size of the dataset. //@return Returns the new number of datapoints .

setDataPoint

public void setDataPoint(int index,
                         ChartPoint2D p)

Sets the x- and y-values for a data point in a simple dataset.

Parameters:

index - Specifies the index for the new data values.

p - Specifies the new x- and y-values for the data point at the specified index.

setDataPoint

public void setDataPoint(int index,
                         double x,
                         double y)

Sets the x- and y-values for a data point in a simple dataset.

Parameters:

index - Specifies the index for the new data values.

x - Specifies the new x-value for the data point at the specified index.

y - Specifies the new y-value for the data point at the specified index.

setYData

public void setYData(double[] yvalues)

This method sets the values of the yData array, the array of y-values for simple and group datasets.

Parameters:

yvalues - the new y-values.

setYData

public void setYData(DoubleArray yvalues)

This method sets the values of the yData array, the array of y-values for simple and group datasets.

Parameters:

yvalues - the new y-values.

setYDataValue

public void setYDataValue(int index,
                          double y)

Sets the y-value in a simple dataset.

Parameters:

y - Specifies the new y-value for the data point at the specified index.

index - Specifies the index for the new data values.

setYDataValue

public void setYDataValue(int group,
                          int index,
                          double y)

This method resolves the generalized setYDataValue method int the abstract ChartDataset class.

Specified by:

setYDataValue in class ChartDataset

Parameters:

y - Specifies the new y-value for the data point at the specified index and group.

group - Specifies the group for the new data value.

index - Specifies the index for the new data value.

sortByX

public void sortByX(boolean ascending)

Sorts the array elements of the dataset using the values of the xData array as the sort key.

Parameters:

ascending - Specify true to sort the dataset array elements so that the values of the xData array start at the minimum value and end at the maximum value.

TypeSafeVectorCopy

public static java.util.Vector<SimpleDataset> TypeSafeVectorCopy(java.util.Vector<SimpleDataset> source)

Returns an object that is a typesafe copy of the source Vector object.

Parameters:

source - source object

Returns:

Returns an object that is a typesafe copy of the source Vector object.

writeSimpleDataset

public void writeSimpleDataset(CSV csv,
                               java.lang.String filename)

This methods will create a text file and output the dataset to that file in a CSV (Comma Separated Value) format. A CSV file can be read by popular spreadsheet and word processing programs. Some localization for different operating systems and locales can be handled by the modifying the default csv (CSV) object. The file can be organized so that the columns represent groups and the rows represent data values for each group (COLUMN_MAJOR), or the where the rows represent groups and the columns represent data values for each group (ROW_MAJOR). Use the CSV.setOrientation method to initialize the csv argument for the proper data orientation.

Parameters:

csv - An instance of an CSV object.

filename - The name of the file.

writeSimpleDataset

public void writeSimpleDataset(CSV csv,
                               java.lang.String filename,
                               boolean append)

This methods will create a text file and output the dataset to that file in a CSV (Comma Separated Value) format. A CSV file can be read by popular spreadsheet and word processing programs. Some localization for different operating systems and locales can be handled by the modifying the default csv (CSV) object. The file can be organized so that the columns represent groups and the rows represent data values for each group (COLUMN_MAJOR), or the where the rows represent groups and the columns represent data values for each group (ROW_MAJOR). Use the CSV.setOrientation method to initialize the csv argument for the proper data orientation.

Parameters:

csv - An instance of an CSV object.

filename - The name of the file.

yData

public DoubleArray yData()

This method returns a reference to the DoubleArray object used to store the y-values of the dataset.