The XY Plot Diagram is used throughout the modern platform to create live XY line plots. It uses diagram widget type "xyPlot".

​
Implementation

{
    "type": "sheetTemplateWidgets",
    "attributes": {
        "type": "diagram",
        "diagram": [
            {
                "type": "xyPlot"
            }
        ],
        "equation": [
            {
                "result": "{PARAMETERS}",
                "condition": "CONDITIONS"
            }
        ],
        "referenceId": "xy_plot_diagram"
    }
}

​
Plot Parameters

ParameterFormatExampleDescription
xData1xn Arrayremote.plot.xArray of x values against which to plot all yData
yDatamxn Matrixremote.plot.VMatrix of y values to plot. Each row is a new line to plot
yEnvelopeData2xn Matrixremote.plot.VEnv(optional) Matrix in which one row is the minimum and the other row is the maximum in an envelope. Space between the lines will be filled with a light grey
yLabels1xn array of stringsremote.plot.lc(optional) Labels for each line / row in yData
yColors1xn array of strings["#3DB318"](optional) Colours, in hex format, to use for each line / row in yData
yAxisLabelstring"Shear (kN)"(optional) String with which to label the y axis
xAxisLabelstring"Distance from Left (mm)"(optional) String with which to label the x axis. No label will display if this parameter is excluded
heightinteger200(optional: defaults to 200) Height, in pixels, of the plot
columnbooleantrue(optional; defaults to false) Rotates the plot 90 degrees and arranges legends and axes to fit appropriately, generally used for plotting column data
minScalefloat0.01(optional; defaults to 0.01) Sets a minimum absolute scale to plot, so that plots don’t give ugly NaN values or start zooming in so much that they start showing floating point precision
xScalestring"log"(optional; defaults to "linear") Options are "linear", "log", "sqrt", and "time". See Victory Documentation
yScalestring"log"(optional; defaults to "linear") Same as xScale, but for the Y-axis
xAxisValuesarray[1, 10, 100, 1000, 10000](optional; defaults to [], which means automatic) If Victory seems to be coming up with weird axis values, you can manually set it here
yAxisValuesarray[1, 10, 100, 1000, 10000](optional; defaults to [], which means automatic) If Victory seems to be coming up with weird axis values, you can manually set it here
customLinesdictxsect.linesFormat: [{"points": [[x0, y0], [x1, y1], ...], "color": "#000", "lineWeight": 3, "name": "Global"},{"points":...}]
legendItemsPerRowinteger5Format: Number of items to show per row of the legend

​
Basic Data Format

​
Single Line Plot

{
    xData: [0, 1, 2, 3, 4, 5],
    yData: [[0, 10, 15, 12, 8, 0]],  // Note: yData is always a matrix
    yLabels: ["Shear Force"],
    yColors: ["#3DB318"],
    xAxisLabel: "Distance (m)",
    yAxisLabel: "Shear (kN)"
}

​
Multiple Line Plot

{
    xData: [0, 1, 2, 3, 4, 5],
    yData: [
        [0, 10, 15, 12, 8, 0],      // First line
        [0, -5, -8, -6, -3, 0],     // Second line
        [5, 8, 12, 10, 6, 2]        // Third line
    ],
    yLabels: ["Dead Load", "Live Load", "Wind Load"],
    yColors: ["#3DB318", "#FF3520", "#1E88E5"],
    xAxisLabel: "Distance (m)",
    yAxisLabel: "Moment (kNm)"
}

​
Envelope Plots

Envelope plots show a range of values with shaded areas: 
{
    xData: [0, 1, 2, 3, 4, 5],
    yData: [[5, 8, 12, 10, 6, 2]],        // Main line
    yEnvelopeData: [
        [3, 6, 9, 7, 4, 1],               // Minimum values
        [7, 10, 15, 13, 8, 3]             // Maximum values
    ],
    yLabels: ["Design Value"],
    yColors: ["#3DB318"],
    xAxisLabel: "Distance (m)",
    yAxisLabel: "Moment (kNm)"
}

​
Custom Lines

Add custom reference lines or annotations: 
{
    // ... regular plot data
    customLines: [
        {
            points: [[0, 100], [5, 100]],  // Horizontal line at y=100
            color: "#FF0000",
            lineWeight: 2,
            name: "Capacity"
        },
        {
            points: [[2.5, 0], [2.5, 120]], // Vertical line at x=2.5
            color: "#FFA500", 
            lineWeight: 3,
            name: "Critical Section"
        }
    ]
}

​
Scale Options

​
Logarithmic Scales

{
    xData: [1, 10, 100, 1000, 10000],
    yData: [[0.1, 1, 10, 100, 1000]],
    xScale: "log",
    yScale: "log",
    xAxisValues: [1, 10, 100, 1000, 10000],  // Manual axis values
    yAxisValues: [0.1, 1, 10, 100, 1000]
}

​
Square Root Scale

{
    xData: [0, 1, 4, 9, 16, 25],
    yData: [[0, 10, 20, 30, 40, 50]],
    xScale: "sqrt",
    xAxisLabel: "Square of Distance"
}

​
Column Mode

For vertical data presentation: 
{
    xData: [0, 1, 2, 3, 4],           // Height levels
    yData: [[100, 80, 60, 40, 20]],   // Load values
    column: true,
    xAxisLabel: "Height (m)",
    yAxisLabel: "Load (kN)",
    height: 300
}

​
Complete Example

{
    "type": "sheetTemplateWidgets",
    "attributes": {
        "type": "diagram",
        "diagram": [
            {
                "type": "xyPlot"
            }
        ],
        "equation": [
            {
                "result": "{
                    xData: remote.plot.x,
                    yData: [remote.plot.M, remote.plot.V],
                    yEnvelopeData: remote.plot.MEnvelope,
                    yLabels: [\"Moment\", \"Shear\"],
                    yColors: [\"#3DB318\", \"#FF3520\"],
                    xAxisLabel: \"Distance (m)\",
                    yAxisLabel: \"Force/Moment\",
                    height: 250,
                    customLines: [
                        {
                            points: [[0, capacity], [beam_length, capacity]],
                            color: \"#FF0000\",
                            lineWeight: 2,
                            name: \"Capacity\"
                        }
                    ],
                    legendItemsPerRow: 3
                }",
                "condition": "@default"
            }
        ],
        "referenceId": "moment_shear_diagram",
        "label": "Moment and Shear Diagram",
        "showInSuperSummary": true
    }
}

​
Best Practices

  1. Data Structure: Always format yData as a matrix, even for single lines
  2. Colors: Use consistent color schemes across related diagrams
  3. Labels: Provide clear axis labels and units
  4. Scale Selection: Choose appropriate scales for your data range
  5. Performance: Use minScale to avoid precision issues with very small values
The XY Plot uses the Victory.js charting library. For advanced scaling options, refer to the Victory Documentation.
Use envelope plots to show uncertainty ranges or to highlight the difference between maximum and minimum values in load combinations.
When using logarithmic scales, ensure that all data points are positive. Zero or negative values will cause rendering issues.

​
Integration with Solvers

XY plots work excellently with beam and frame solver results: 
{
    "type": "sheetTemplateWidgets",
    "attributes": {
        "type": "remote",
        "solver": "beam",
        "equation": [
            {
                "condition": "@default",
                "result": "{
                    // ... beam parameters
                    plotMoment: true,
                    plotShear: true,
                    plotDeflection: true
                }"
            }
        ],
        "referenceId": "beam_results"
    }
}
The solver automatically provides formatted plot data that can be directly used in XY plot diagrams.