2016/12/12 - QtiPlot 0.9.9.8 release available. New features and improvements:
- Added support for high DPI screens.
- Added support for the import of OriginLab 2017 (9.4) projects.
- Improved export to Origin C files.
- Improved plot details dialog: lines/arrows in the 2D plot layers can also be customized via this dialog.
- Improved spectrogram values page in the plot details dialog: users can now resample the source data matrix in order to customize the resolution.
- The maximum number of major ticks can now be defined independently for each 2D plot layer.
- Improved Python API and added a new Column class that allows to directly manipulate table columns.
- Improved import of .csv ASCII files to tables.
- Improved keyboard interaction with tables: pressing the Enterkey on the numerical pad also moves the cursor one field down.
- Added the possibility to nest the dock widgets (the Project Explorer, the Results Log, the Scripting Console, etc).
- Improved double Y axes plots.
- Improved creation of auto axis titles in 2D plots.
- Ported QwtPlot3D library to QOpenGLWidget which fixes problems with 3D plot windows staying on top of other windows on macOS.
- Fixed drawing of 2D plot legends: symbols/texts for hidden curves are no longer displayed.
- Fixed drawing of 2D plot curves with spline line style when the layer XY axes are exchanged.
- Fixed drawing of line/arrows in 2D plots.
- Fixed changing matrix name for spectrograms in plot details dialog.
- Fixed import of images to existing matrices.
- Fixed removing matrices from 2D plots via the Add/Remove curve dialog.
- Fixed drawing of rectangles/ellipses onto 2D plots.
- Fixed bug affecting the maximum number of major ticks for a 2D plot axis.
- Fixed the calculation of the values in the covariance matrix reported by the Fit Wizard: the values are now scaled with Chi^2/doF when the option Scale Errors with sqrt(Chi^2/doF) is checked.
- Fixed mask data tools and drawing of masked points in 2D plot curves.
- Fixed two colors gradient editor.
- Fixed posible crash in Python scripts using Table.colData() function.