Observed summary data with error bar results have two addresses: one for the
data, and one for the error data. When creating the RimSummaryAddress objects
in the "Data Sources" tree the error data address would occasionally be used
instead of the data address (due to lack of sorting and filtering).
Plots created from the error RimSummaryAddress would display the error data twice
in the "Show Plot Data" view.
Fixed by filtering out the error addresses and improving the sorting criteria.
Fixes#10536.
If we have many single curves in one plot, using addresses for all curves destroys performance. Make sure we only use addresses for the curve with most available addresses.
* Add statistics enum
* Support ensemble statistics curve as data source for regression curves
* Allow creation of regression curves from statistics curves
* Make sure regression curves are updated after source curves
* Add state to use full or user defined range for regression source data
* Add isRegressionCurve
* Make sure source stepping works when regression curves are present
* Support cross plot in plot templates
* Fix source stepping for cross plots
* Show cross plot data in "Show Plot Data"
* Use bin size and realization count when computing cross plot statistics
* Verify vector size only for cross plot regression curves
* Add filtering on axis orientation
Makes it possible to show only horizontal or vertical axes when selecting an axis to attach a curve to.
* Send curvesChanged signal to trigger multi plot updates
This signal will trigger update of axes and set correct scaling factor
* Use object name for axis object
* Use address for both x and y axis to create ensemble curve name
* Fix bug for drag/drop of ensemble object into plot
* Add RiaSummaryCurveAddress to RiaSummaryCurveDefinition
* Remove SummaryDataSource
* Use childFieldChangedByUi to trigger update of curves and titles
* Remove use of RifEnsembleStatisticsReader
* Add RimSummaryAddressSelector and RimEnsembleCrossPlotStatisticsCase
* Remove RifEnsembleStatisticsReader
* Add support for cross plot x-axis selection
* Support source stepping on ensemble cross plot curves
* Add isXAxisSummaryVector
* Compute average MD for intersections with a cell
* Create extractor for simulation well
* Remove rftReader from RifDataSourceForRftPlt
* Add function compute measured depth for RFT cells based on well path geometry
* Move statistics reader to well ensemble curve set
* Make sure both TVD and MD are cached if possible
* Add selection of grid case to use for estimation of measured depth (MD)
Add "Grid Model For MD" where the user can select a grid model. This grid model is propagated to a hidden field in EnsembleCurveSet. The grid model is then applied to RifReaderEnsembleStatisticsRft owned by EnsembleCurveSet
* Performance: Cache registry value
* Performance: Avoid recursive update
Early return if values are identical
updateConnectedEditors is handled by setValueFromUiEditor
Avoid fieldChanged in analyzePlotsAndAdjustAppearanceSettings
This dialog was designed to be used efficiently from keyboard. By default, all filtered addresses are selected. To select a subset using the text filter, all addresses need to be unchecked before typing a text string in the filter text input.
Previously, when the stepping dimension was set to 'well' for range aggregation, it was based on all wells. If one of the wells had extreme values and was not visible, it would set the y-range to match the extreme value, making some curves invisible. We have now changed the default setting to use visible subplots to determine the y-range aggregation.
* Use one common variable for object name, use three ints
* Move enums to separate file
* Refactor use of enums
* Move implementation to cpp
* Refactor includes
This was a side effect of changes in 69a668d
The return value when accessing time step values changed from const std::vector<time_t>& to std::vector<time_t>. When computing data related to stacking of curves, the data was inserted into a vector, and the change caused the insert operation to use two different vectors instead of one.
