QCChart2D now supports event-based plotting. In event-based plotting, the coordinate system is scaled to the number of event objects. Each event object represents an x-value, and one or more y-values. Since an event object can represent one or more y-values for a single x-value, it can be used as the source for simple plot types (simple line plot, simple bar plot, simple scatter plot, simple line marker plot) and group plot types (open-high-low-close plots, candlestick plots, group bars, stacked bars, etc.). Event objects can also store custom data tooltips, and x-axis strings. The most common use for event-based plotting will be for displaying time-based data which is discontinuous: financial markets data for example. A more detailed description of Event-based charting is found in this white paper on the subject: An Event-based Coordinate System for Use in the Plotting of Discontinuous Time Data.

Remove arbitrary (non-periodic) days, holidays for example, from the time/date scale.

Allow for a sub range of a day which crosses 24:00, i.e. 18:00 to 3:00.

Allow for multiple, active time ranges within the same 24-hour period, i.e. 9:00 to 12:00 and 14:00 to 18:00.

Smooth panning and zooming of data across discontinuous time boundaries.

Allow for exceptions to the predefined set of rules. For example, be able to include a weekend day, or a specific set of hours normally excluded from the scale.

Feature Summary

Java IDE Independent - Tested and compatible with Eclipse, JBuilder and NetBeans.

Windows 32-bit/64-bit Compatible - The software will run as 32-bit on Windows 32-bit operating systems (XP and 32-bit versions of Vista and Windows 7) and as 64-bit on Windows 64-bit operating systems (64-bit versions of Vista and Windows 7). This is a feature of Java programs in general.

Plot Types - Line plots, area plots, bar plots, line marker plots, floating bars, scatter plots, group plots, open-high-low-close plots, error bar plots, pie charts, contour plots, candlestick plots, line gap plots, cell plots, histogram plots, arrow plots, bubble plots, polar plots, multi-line plots, stacked line plots, box and whisker plots, floating stacked bar plots, ring plots, antenna plots, versa plots.. An unlimited number of plot types can be combined in the same chart.

Datasets - Datasets hold the data plotted in the chart. Charts can plot an unlimited number of datasets, each dataset can contain an unlimited number of data points. Datasets can hold numeric and Java GregorianCalendar date/time based data with millisecond resolution. Mark data points invalid, forcing a break in plotted lines.

Dataset Viewer - A new dataset viewer class will display simple and group datasets in a grid-like table. The grid can be positioned anywhere on the chart. Individual grid cells can be edited and the associated chart immediately updated using the synchronize feature.

Coordinate Systems - Linear, logarithmic, time/date and polar coordinate systems. An unlimited number of coordinate system, and axes, can be overlaid in the same plotting area of a graph.

Time/Date Coordinate Systems - The time/date scale is specified using Java GregorianCalendar objects. The time/date scales take into account the varying number of days in months and years. The scales can also take into account non-continuous time/date scales where a 5-day week is used, or where a full day consists of a specific time interval that can be something less than a 24-hour day. For example, it is possible to define a time/date scale where weekends are excluded and the day consists of the hours between 9:30 AM and 4:00 PM.

Elapsed Time Coordinate System - The original Time/Date scale proved less than optimal for the display of time span data, i.e., time values not associated with a specific calendar date. Starting with Rev. 2.0, the software supports elapsed time plotting, based on a simple TimeSpan class. The elapsed time scale can be either horizontal or vertical. This includes new dataset types (ElapsedTimeSimpleDataset, ElapsedTimeGroupDataset), a new coordinate system class (ElapsedTimeCoordinates), a new axis class (ElapsedTimeAxis) and a new axis labels class (ElapsedTimeAxisLabels).

Event-Based Coordinate System - Event-based charting further expands the plotting capability of QCChart2D - adding features important to the financial services industries. The includes new dataset types EventSimpleDataset, EventGroupDataset), a new coordinate system class (EventCoordinates), a new axis class (EventAxis) and a new axis labels class (EventAxisLabels). For more information see: An Event-based Coordinate System for Use in the Plotting of Discontinuous Time Data.

Axis Types - Linear, logarithmic, time/date, event, elapsed time and polar axis types. All axis types have manual and auto-scaling modes for setting axis ranges. Axis auto-scaling modes handle multiple datasets, group data and contour data. A chart can have an unlimited number of axes.

Axis Labels - Axes can have decimal, exponential, time, date, string and multi-line labels. Programmers can define custom numeric and time/date axis labels.

Chart Titles - Charts can have a main title, a subhead and a footer. Axes can have horizontal and vertical titles.

Grid Options - Grid lines of any line style and color can highlight major and minor axis tick marks.

Export Chart Images - using the JPEG format.

Import jpeg Image objects - Use jpeg image objects as plot elements in a chart, or as a background object.

Legends for All Plot Types - Position horizontal and vertical legends anywhere in a chart. A chart can have an unlimited number of legends.

Mouse Support - A group of classes implementing mouse event delegates can locate, select and move chart objects like data plots, axes, titles, and legends.

Simple and Super Zooming - Zoom a simple xy axis pair, or simultaneous zoom an unlimited number of x- and y-axes.

MagniView - Similar to zooming, the mouse controls a “magnifying” rectangle as it passes over an existing chart. The area of the chart within the bounds of the magnifying rectangle is “magnified” and continuously redrawn in a separate window. The MagniView class works with charts that use a simple xy axis pair, and charts that combine one or more coordinate systems.

Panning - Use the new MoveCoordinates class to pan data in the x- and y-dimension. Click and drag in the plot area and rescale the graph proportionally.

Data Cursors - XOR data cursors are used to position the mouse cursor over data points in a plot.

Data Markers - Drop special marker symbols on to the data presented in a graph, much like a bookmark in a word processing document.

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