Histogram

This plot displays the histogram of a chosen input or output parameter. Additional information about estimated statistic values (mean, minimal and maximal value, standard deviation, coefficient of variation, skewness and kurtosis) are provided in a text field. If a distribution function is provided for the chosen input parameter, this function is also plotted (green line). You can fit a Probability Density Function (PDF) to the data set (blue line). You can also calculate certain probabilities from the quantiles of the histogram and the visualized PDFs. If the data set contains failed designs and the chosen parameter is an input parameter, a second histogram that includes the failed designs is shown (dotted line).

Settings
OptionDescription
Common Settings
Fitted PDFFits a PDF to data according to the chosen fit type. Selecting None does not perform a fit. Selecting Automatic tries to perform the best fit. You can also select a specific fit type from the list.
Defined PDFIf there are stochastic parameters, shows PDF used for sampling.
Sigma level for PDFSets the sigma level for the PDF.
Histogram classesSets the number of histogram bars.
Show as CDFWhen selected, displays a Cumulated Density Function (CD) line instead of the histogram bars.
Show limitsWhen selected, displays limit lines when limits are set.
Show probabilityToggles the view of the probability value in the histogram information text.
Probability valueDetermines the probability value in the histogram information text.
Show process capabilityDisplay the process capability in the histogram information text.
Preferences

The following preference settings are available:

  • Choose X-Axis

  • Appearance

    • Font size

    • Line width

    • Enable axes

    • Enable lines

    • Enable surfaces

  • Axis Ranges

  • Labels

  • Legend

  • Window appearance

For more details, see Plot Preference Settings.

Python Scripting

Create Visual

Creates a histogram visual using data with data_id. 

    histogram = Visuals.Histogram(Id("Histogram"), data_id)

Add to Postprocessing

Adds histogram visual in postprocessing to control_container, using the specified relative positioning. 

    control_container.add_control (
        histogram,
        True,
        RELATIVE_POSITIONING,
        0., 0., 1., 1./2.
    )