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Forcing all axis labels to be shown

Posted By Kevin Harrison 7 Years Ago
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Kevin Harrison
Question Posted 7 Years Ago
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There should be an obvious answer to this, but I can't see it. How do I force all axis labels to be rendered rather than what I get now - I will add attachment shortly.



Kevin Harrison
Posted 7 Years Ago
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Supreme Being

Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)Supreme Being (79 reputation)

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Note this is a chart with PredefnedChartStyle.HorizontalLeft
Only every other label is displayed, no matter how large the plot is (and there's plenty of room anyway)
data:image/png;base64,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
Extract of the code setting the labels is:
// Turn ticks off
 NLength tickLength = scaleConfiguratorX.OuterMajorTickStyle.Length;
  scaleConfiguratorX.OuterMajorTickStyle.Length = new NLength(0);
scaleConfiguratorX.InnerMajorTickStyle.Length = new NLength(0); 
scaleConfiguratorX.LabelLevelTopPadding = tickLength;
// Set the labels
scaleConfiguratorX.AutoLabels = false;
scaleConfiguratorX.LabelStyle.VisibilityMode = ScaleLabelVisibilityMode.CenterInRuler;
scaleConfiguratorX.Labels.AddRange(xAxisLabels);  (Number of labels = number of y values)
scaleConfiguratorX.MajorTickMode = MajorTickMode.AutoMaxCount; 
scaleConfiguratorX.MaxTickCount = xAxisLabels.Length;

I have checked in Debug that all values are set as expected. What am I missing here?
Thanks
Kevin




Nevron Support
Posted 7 Years Ago
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Last Active: Yesterday @ 1:38 AM
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Hi Kevin,
If you wish to tell the axis that it has to display every label you need to specify custom step of 1 - for example:
ordinalScale.MajorTickMode = MajorTickMode.CustomStep;
ordinalScale.CustomStep = 1;
Hope this helps - let us know if you meet any problems.


Best Regards,
Nevron Support Team





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