//
        // Draw the chart
        //
        private void drawChart(RazorChartViewer viewer)
        {
            // Determine the visible x-axis range
            DateTime viewPortStartDate = Chart.NTime(viewer.getValueAtViewPort("x", viewer.ViewPortLeft))
            ;
            DateTime viewPortEndDate = Chart.NTime(viewer.getValueAtViewPort("x", viewer.ViewPortLeft +
                                                                             viewer.ViewPortWidth));

            // We need to get the data within the visible x-axis range. In real code, this can be by
            // using a database query or some other means as specific to the application. In this demo,
            // we just generate a random data table, and then select the data within the table.
            RanTable r = getRandomTable();

            // Select the data for the visible date range viewPortStartDate to viewPortEndDate. It is
            // possible there is no data point at exactly viewPortStartDate or viewPortEndDate. In this
            // case, we also need the data points that are just outside the visible date range to
            // "overdraw" the line a little bit (the "overdrawn" part will be clipped to the plot area)
            // In this demo, we do this by adding a one day margin to the date range when selecting the
            // data.
            r.selectDate(0, viewPortStartDate.AddDays(-1), viewPortEndDate.AddDays(1));

            // The selected data from the random data table
            DateTime[] timeStamps  = Chart.NTime(r.getCol(0));
            double[]   dataSeriesA = r.getCol(1);
            double[]   dataSeriesB = r.getCol(2);
            double[]   dataSeriesC = r.getCol(3);

            //
            // Now we have obtained the data, we can plot the chart.
            //

            //================================================================================
            // Configure overall chart appearance.
            //================================================================================

            // Create an XYChart object of size 640 x 350 pixels
            XYChart c = new XYChart(640, 350);

            // Set the plotarea at (55, 55) with width 80 pixels less than chart width, and height 90
            // pixels less than chart height. Use a vertical gradient from light blue (f0f6ff) to sky
            // blue (a0c0ff) as background. Set border to transparent and grid lines to white (ffffff).
            c.setPlotArea(55, 55, c.getWidth() - 80, c.getHeight() - 90, c.linearGradientColor(0, 55, 0,
                                                                                               c.getHeight() - 35, 0xf0f6ff, 0xa0c0ff), -1, Chart.Transparent, 0xffffff, 0xffffff);

            // As the data can lie outside the plotarea in a zoomed chart, we need to enable clipping.
            c.setClipping();

            // Add a title to the chart using 18pt Times New Roman Bold Italic font
            c.addTitle("    Zooming and Scrolling with Track Line", "Times New Roman Bold Italic", 18);

            // Set the axis stem to transparent
            c.xAxis().setColors(Chart.Transparent);
            c.yAxis().setColors(Chart.Transparent);

            // Add axis title using 10pt Arial Bold Italic font
            c.yAxis().setTitle("Ionic Temperature (C)", "Arial Bold Italic", 10);

            //================================================================================
            // Add data to chart
            //================================================================================

            //
            // In this example, we represent the data by lines. You may modify the code below to use
            // other layer types (areas, scatter plot, etc).
            //

            // Add a line layer for the lines, using a line width of 2 pixels
            LineLayer layer = c.addLineLayer2();

            layer.setLineWidth(2);

            // In this demo, we do not have too many data points. In real code, the chart may contain a
            // lot of data points when fully zoomed out - much more than the number of horizontal pixels
            // in this plot area. So it is a good idea to use fast line mode.
            layer.setFastLineMode();

            // Add up to 3 data series to a line layer, depending on whether the user has selected the
            // data series.
            layer.setXData(timeStamps);
            if (viewer.GetCustomAttr("data0CheckBox") != "F")
            {
                layer.addDataSet(dataSeriesA, 0xff3333, "Alpha Series");
            }
            if (viewer.GetCustomAttr("data1CheckBox") != "F")
            {
                layer.addDataSet(dataSeriesB, 0x008800, "Beta Series");
            }
            if (viewer.GetCustomAttr("data2CheckBox") != "F")
            {
                layer.addDataSet(dataSeriesC, 0x3333cc, "Gamma Series");
            }

            //================================================================================
            // Configure axis scale and labelling
            //================================================================================

            // Set the x-axis as a date/time axis with the scale according to the view port x range.
            viewer.syncDateAxisWithViewPort("x", c.xAxis());

            //
            // In this demo, the time range can be from a few years to a few days. We demonstrate how to
            // set up different date/time format based on the time range.
            //

            // If all ticks are yearly aligned, then we use "yyyy" as the label format.
            c.xAxis().setFormatCondition("align", 360 * 86400);
            c.xAxis().setLabelFormat("{value|yyyy}");

            // If all ticks are monthly aligned, then we use "mmm yyyy" in bold font as the first label
            // of a year, and "mmm" for other labels.
            c.xAxis().setFormatCondition("align", 30 * 86400);
            c.xAxis().setMultiFormat(Chart.StartOfYearFilter(), "<*font=bold*>{value|mmm yyyy}",
                                     Chart.AllPassFilter(), "{value|mmm}");

            // If all ticks are daily algined, then we use "mmm dd<*br*>yyyy" in bold font as the first
            // label of a year, and "mmm dd" in bold font as the first label of a month, and "dd" for
            // other labels.
            c.xAxis().setFormatCondition("align", 86400);
            c.xAxis().setMultiFormat(Chart.StartOfYearFilter(),
                                     "<*block,halign=left*><*font=bold*>{value|mmm dd<*br*>yyyy}", Chart.StartOfMonthFilter(),
                                     "<*font=bold*>{value|mmm dd}");
            c.xAxis().setMultiFormat2(Chart.AllPassFilter(), "{value|dd}");

            // For all other cases (sub-daily ticks), use "hh:nn<*br*>mmm dd" for the first label of a
            // day, and "hh:nn" for other labels.
            c.xAxis().setFormatCondition("else");
            c.xAxis().setMultiFormat(Chart.StartOfDayFilter(), "<*font=bold*>{value|hh:nn<*br*>mmm dd}",
                                     Chart.AllPassFilter(), "{value|hh:nn}");

            //================================================================================
            // Step 5 - Output the chart
            //================================================================================

            // Output the chart
            viewer.Image = c.makeWebImage(Chart.PNG);

            // Output Javascript chart model to the browser to suppport tracking cursor
            viewer.ChartModel = c.getJsChartModel();
        }
예제 #2
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        //
        // Create chart
        //
        private void createChart(RazorChartViewer viewer)
        {
            // In this example, we simply use random data for the 2 data series.
            RanSeries r = new RanSeries(127);

            double[]   data0      = r.getSeries(180, 70, -5, 5);
            double[]   data1      = r.getSeries(180, 150, -15, 15);
            DateTime[] timeStamps = r.getDateSeries(180, new DateTime(2014, 3, 1), 86400);

            // Create a XYChart object of size 640 x 420 pixels
            XYChart c = new XYChart(640, 420);

            // Add a title to the chart using 20pt Arial font
            c.addTitle("    Plasma Stabilizer Energy Usage", "Arial", 20);

            // Set the plotarea at (55, 60) and of size 560 x 330 pixels, with transparent background and
            // border and light grey (0xcccccc) horizontal grid lines
            c.setPlotArea(55, 60, 560, 330, -1, -1, Chart.Transparent, 0xcccccc);

            // Add a legend box at (55, 30) using horizontal layout, with 10pt Arial Bold as font and
            // transparent background and border.
            c.addLegend(55, 30, false, "Arial Bold", 10).setBackground(Chart.Transparent);

            // Set axis label style to 10pt Arial
            c.xAxis().setLabelStyle("Arial", 10);
            c.yAxis().setLabelStyle("Arial", 10);

            // Set the x and y axis stems to transparent, and the x-axis tick color to grey (0xcccccc)
            c.xAxis().setColors(Chart.Transparent, Chart.TextColor, Chart.TextColor, 0xcccccc);
            c.yAxis().setColors(Chart.Transparent);

            // Configure the x-axis tick lengtht to 10 pixels internal to the plot area
            c.xAxis().setTickLength(-10, 0);

            // With the ticks internal to the plot area, the x-axis labels will come very close to the
            // axis stem, so we configure a wider gap.
            c.xAxis().setLabelGap(10);

            // For the automatic axis labels, set the minimum spacing to 80/40 pixels for the x/y axis.
            c.xAxis().setTickDensity(80);
            c.yAxis().setTickDensity(40);

            // Use "mm/yyyy" as the x-axis label format for the first plotted month of a year, and "mm"
            // for other months
            c.xAxis().setMultiFormat(Chart.StartOfYearFilter(), "{value|mm/yyyy} ",
                                     Chart.StartOfMonthFilter(), "{value|mm}");

            // Add a title to the y axis using dark grey (0x555555) 12pt Arial Bold font
            c.yAxis().setTitle("Energy (kWh)", "Arial Bold", 14, 0x555555);

            // Add a line layer with 2-pixel line width
            LineLayer layer0 = c.addLineLayer(data0, 0xcc0000, "Power Usage");

            layer0.setXData(timeStamps);
            layer0.setLineWidth(2);

            // Add an area layer using semi-transparent blue (0x7f0044cc) as the fill color
            AreaLayer layer1 = c.addAreaLayer(data1, 0x7f0044cc, "Effective Load");

            layer1.setXData(timeStamps);
            layer1.setBorderColor(Chart.SameAsMainColor);

            // Output the chart
            viewer.Image = c.makeWebImage(Chart.PNG);

            // Output Javascript chart model to the browser to suppport tracking cursor
            viewer.ChartModel = c.getJsChartModel();
        }
예제 #3
0
        //
        // Draw the chart
        //
        private void drawChart(RazorChartViewer viewer)
        {
            //
            // Data to draw the chart. In this demo, the data buffer will be filled by a random data
            // generator. In real life, the data is probably stored in a buffer (eg. a database table, a
            // text file, or some global memory) and updated by other means.
            //

            // We use a data buffer to emulate the last 240 samples.
            int sampleSize = 240;

            double[]   dataSeries1 = new double[sampleSize];
            double[]   dataSeries2 = new double[sampleSize];
            double[]   dataSeries3 = new double[sampleSize];
            DateTime[] timeStamps  = new DateTime[sampleSize];

            // Our pseudo random number generator
            DateTime firstDate = DateTime.Now.AddSeconds(-timeStamps.Length);

            for (int i = 0; i < timeStamps.Length; ++i)
            {
                timeStamps[i] = firstDate.AddSeconds(i);
                double p = timeStamps[i].Ticks / 10000000;
                dataSeries1[i] = Math.Cos(p * 2.1) * 10 + 1 / (Math.Cos(p) * Math.Cos(p) + 0.01) + 20;
                dataSeries2[i] = 100 * Math.Sin(p / 27.7) * Math.Sin(p / 10.1) + 150;
                dataSeries3[i] = 100 * Math.Cos(p / 6.7) * Math.Cos(p / 11.9) + 150;
            }

            // Create an XYChart object 600 x 270 pixels in size, with light grey (f4f4f4) background,
            // black (000000) border, 1 pixel raised effect, and with a rounded frame.
            XYChart c = new XYChart(600, 270, 0xf4f4f4, 0x000000, 0);

            c.setRoundedFrame();

            // Set the plotarea at (55, 57) and of size 520 x 185 pixels. Use white (ffffff) background.
            // Enable both horizontal and vertical grids by setting their colors to grey (cccccc). Set
            // clipping mode to clip the data lines to the plot area.
            c.setPlotArea(55, 57, 520, 185, 0xffffff, -1, -1, 0xcccccc, 0xcccccc);
            c.setClipping();

            // Add a title to the chart using 15pt Times New Roman Bold Italic font, with a light grey
            // (dddddd) background, black (000000) border, and a glass like raised effect.
            c.addTitle("Field Intensity at Observation Satellite", "Times New Roman Bold Italic", 15
                       ).setBackground(0xdddddd, 0x000000, Chart.glassEffect());

            // Configure the y-axis with a 10pt Arial Bold axis title
            c.yAxis().setTitle("Intensity (V/m)", "Arial Bold", 10);

            // Configure the x-axis to auto-scale with at least 75 pixels between major tick and 15
            // pixels between minor ticks. This shows more minor grid lines on the chart.
            c.xAxis().setTickDensity(75, 15);

            // Set the axes width to 2 pixels
            c.xAxis().setWidth(2);
            c.yAxis().setWidth(2);

            // Set the x-axis label format
            c.xAxis().setLabelFormat("{value|hh:nn:ss}");

            // Create a line layer to plot the lines
            LineLayer layer = c.addLineLayer2();

            // The x-coordinates are the timeStamps.
            layer.setXData(timeStamps);

            // The 3 data series are used to draw 3 lines. Here we put the latest data values as part of
            // the data set name, so you can see them updated in the legend box.
            layer.addDataSet(dataSeries1, 0xff0000, "Alpha");
            layer.addDataSet(dataSeries2, 0x00cc00, "Beta");
            layer.addDataSet(dataSeries3, 0x0000ff, "Gamma");

            // Output the chart
            viewer.Image = c.makeWebImage(Chart.PNG);

            // Output Javascript chart model to the browser to suppport tracking cursor
            viewer.ChartModel = c.getJsChartModel();
        }