This plot displays linear correlation coefficients, histograms and anthill plots for all selected input and output parameters and their combinations respectively, combined into one plot. A selection in this plot alters the parameter selection globally in the postprocessing.
Settings
Option | Description |
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Common Settings | |
Histogram classes | Sets the value for the number of bars displayed in histograms when View as is not All correlations. |
View as | Select one of the following options:
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Ranges | Select one of the following options:
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Preferences | |
The following preference settings are available:
For more details, see Plot Preference Settings. |
Context Menu
Option | Description |
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Appearance | Show/hide palette, choose font size or symbol size, enable/disable single bigger views by mouse overlay. |
Display Groups | Displays parts of the matrix using the following options:
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Activate/Deactivate dimensions | Opens the Activate/Deactivate dimensions dialog where you can
show or hide one or more dimensions.
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Python Scripting
Create Visual
Creates a Correlation Matrix using data with data_id.
ext_corr = Visuals.ExtendedCorrelationMatrix( Id("Extended Correlation Matrix"), data_id )
Add to Postprocessing
Adds Correlation Matrix in postprocessing to control_container, using the specified relative positioning.
control_container.add_control ( ext_corr, True, RELATIVE_POSITIONING, 0, 70/100., 1/2., 30/100. )