v2.8.2

Version 2.8.2

🛠️ Bug fixes:

• Fixed RuntimeWarning when changing masked image data type from float to integer:
  • MaskedImageItem.update_mask() now handles NaN and None filling_value gracefully
  • When converting to integer dtypes, NaN/None values are replaced with 0 instead of triggering numpy cast warnings
  • When converting to float dtypes, NaN is preserved as the fill value
  • Added comprehensive tests to validate dtype conversion scenarios

Version 2.8.1

🛠️ Bug fixes:

• Issue #50 - Fixed ImageStatsTool displaying "No available data" for XYImageItem and MaskedXYImageItem:
  • Added IExportROIImageItemType to XYImageItem.types() so that get_items_in_rectangle() can properly identify XY image items
  • Updated __implements__ tuples for consistency across XYImageItem, MaskedXYImageItem, and MaskedImageItem
  • The tool now correctly displays statistics for images with non-uniform coordinates
• Fixed snapshot tool failing with SystemError on XYImageItem and MaskedXYImageItem:
  • Fixed assemble_imageitems passing list instead of tuple to C extension function _scale_rect
  • Added missing export_roi method to XYImageItem to properly handle non-uniform coordinate transformations
  • Snapshots of XY images now render correctly instead of producing black images

Version 2.8.0

💥 New features / Enhancements:

• Curve fitting: added support for locked parameters:
  • New locked parameter in FitParam class to lock parameter values during automatic optimization
  • New locked field in FitParamDataSet to configure parameter locking via the settings dialog
  • When locked, parameters retain their manually-adjusted values during auto-fit
  • Visual indicators: locked parameters show a 🔒 emoji and are grayed out with disabled controls
  • All optimization algorithms (simplex, Powell, BFGS, L-BFGS-B, conjugate gradient, least squares) fully support locked parameters
  • Enables partial optimization workflows: fix well-determined parameters, optimize uncertain ones
  • Improves fit convergence by reducing problem dimensionality
• Configurable autoscale margin:
  • Added autoscale_margin_percent parameter to BasePlotOptions for intuitive percentage-based margin control
  • Users can now specify autoscale margins as percentages (e.g., 0.2 for 0.2%, 5.0 for 5%)
  • Replaces the previous decimal-based approach with more user-friendly percentage values
  • Default remains 0.2% (equivalent to previous 0.002) for backward compatibility
  • Includes validation to prevent unreasonable values (0-50% range)
• Image statistics tool improvements:
  • Enhanced get_stats function to display delta (Δ) values for coordinate ranges
  • Now shows Δx, Δy, and Δz values alongside the min/max ranges for better analysis
• Added optional "Axes" tab control in Parameters dialog:
  • New show_axes_tab option in BasePlotOptions and PlotOptions (default: True)
  • When set to False, the "Axes" tab is hidden from item parameter dialogs
  • This allows applications to provide their own axes management while using PlotPy
  • Can be configured during plot creation or changed at runtime using plot.set_show_axes_tab(False)
• Issue #45 - Add support for new curve Y-range cursor tool YRangeCursorTool:
  • This tool is similar to the existing CurveStatsTool, but it simply shows the Y-range values (min, max and interval).
  • It can be added to the plot widget using plot_widget.manager.add_tool(YRangeCursorTool)
• Update color configurations defaults for improved visibility
• Item list:
  • Added a new "Rename" context menu entry to rename the selected item
  • This entry is only available for editable items
• X and Y range selection items:
  • Added support for item title in parameters data set (RangeShapeParam)
  • This concerns the XRangeSelection and YRangeSelection items
• New annotated X and Y range selection items:
  • Added AnnotatedXRange and AnnotatedYRange items
  • These items provide X and Y range selection with an annotation label
  • They can be created using make.annotated_xrange and make.annotated_yrange functions
• New SyncPlotDialog class:
  • This class provides a dialog for displaying synchronized plots.
  • This is a complementary class to SyncPlotWindow, providing a modal dialog interface for synchronized plotting.
• Native datetime axis support:
  • Added BasePlot.set_axis_datetime() method to easily configure an axis for datetime display
  • Added BasePlot.set_axis_limits_from_datetime() method to set axis limits using datetime objects directly
  • Supports customizable datetime format strings using Python's strftime format codes
  • Configurable label rotation and spacing for optimal display
  • Example: plot.set_axis_datetime("bottom", format="%H:%M:%S") for time-only display
  • Example: plot.set_axis_limits_from_datetime("bottom", dt1, dt2) to zoom to a specific time range
  • Added "datetime" as a valid scale type (alongside "lin" and "log") for axis configuration
  • Added datetime coordinate formatting support throughout PlotPy:
    • Cursor tools (VCursorTool, HCursorTool, XCursorTool) now display datetime-formatted X/Y coordinates
    • CurveStatsTool now displays datetime-formatted X coordinates for statistical computations
    • Marker labels automatically format coordinates as datetime when axis uses datetime scale
    • Coordinate display in the plot canvas now shows datetime format when appropriate
    • Refactored ObjectInfo base class to provide shared datetime formatting methods for code reuse

🧹 API cleanup: removed deprecated update methods (use update_item instead)

• Removed AnnotationParam.update_annotation method
• Removed AxesShapeParam.update_axes method
• Removed AxesParam.update_axes method
• Removed ImageAxesParam.update_axes method
• Removed LabelParam.update_label method
• Removed MarkerParam.update_marker method
• Removed RangeShapeParam.update_range method
• Removed ShapeParam.update_shape method

🛠️ Bug fixes:

• Fixed RuntimeError in SyncPlotWindow and SyncPlotDialog when closing widgets quickly:
  • Fixed "wrapped C/C++ object of type QwtScaleWidget has been deleted" error that occurred when widgets were closed before the deferred plot rescaling operation could complete
  • Replaced QTimer.singleShot() with controllable QTimer instances that can be stopped on widget close
  • Added handle_show_event() and handle_close_event() methods to BaseSyncPlot for proper timer lifecycle management
  • Refactored showEvent() and closeEvent() in both SyncPlotWindow and SyncPlotDialog to eliminate code duplication
  • Added early exit check in rescale_plots() to prevent execution if the timer has been stopped
  • This fix ensures clean widget shutdown and prevents Qt from attempting to access deleted C++ objects
• Cross-section panels: Fixed autoscaling logic in BaseCrossSectionPlot
  • Streamlined handling of autoscale_mode and lockscales options for consistent scaling behavior across all code paths
  • The update_plot() method now delegates all scaling logic to plot_axis_changed() to avoid code duplication and ensure consistency
  • Fixed issue where Y cross-section plots for rectangular images with non-uniform axes (e.g., Y = f(X)) were not properly scaled on initial display
  • The lockscales mode now correctly syncs the cross-section axis (CS_AXIS) to the image plot while autoscaling the intensity axis (Z_AXIS)
• Issue #49 - Fixed multiple coordinate handling bugs in XYImageItem:
  • Root cause: XYImageItem internally stores bin edges (length n+1) but several methods were incorrectly treating them as pixel centers (length n)
  • Fixed get_x_values() and get_y_values() to correctly compute and return pixel centers from stored bin edges: (edge[i] + edge[i+1]) / 2
  • Fixed get_pixel_coordinates() to correctly convert plot coordinates to pixel indices using searchsorted() with proper edge-to-index adjustment
  • Fixed get_plot_coordinates() to return pixel center coordinates instead of bin edge coordinates
  • Fixed get_closest_coordinates() to return pixel center coordinates instead of bin edge coordinates
  • Added comprehensive docstring documentation explaining that XYImageItem.x and XYImageItem.y store bin edges, not pixel centers
  • Removed redundant pixel centering code in CrossSectionItem.update_curve_data() that was working around these bugs
  • This fixes the reported issue where using cross-section tools progressively translated image data to the bottom-right corner
  • All coordinate-related methods now properly handle the bin edge vs pixel center distinction throughout the XYImageItem API
• Fixed index bounds calculation for image slicing compatibility:
  • Corrected the calculation of maximum indices in get_plot_coordinates to ensure proper bounds when using NumPy array slicing
  • Previously, the maximum indices were off by one, which could cause issues when extracting image data using the returned coordinates
  • Now returns indices that correctly align with Python/NumPy slicing conventions (e.g., [i1:i2+1, j1:j2+1])
  • This fixes an historic bug that could lead to off-by-one errors when users extracted image data using the coordinates provided by this function
• Fixed plot update after inserting a point using the EditPointTool on non-Windows platforms
• Issue #46 - Contrast adjustment with 'Eliminate outliers' failed for float images with high dynamic range
• Issue #29 - SelectTool: Selectin...

v2.8.1

Version 2.8.1

🛠️ Bug fixes:

• Issue #50 - Fixed ImageStatsTool displaying "No available data" for XYImageItem and MaskedXYImageItem:
  • Added IExportROIImageItemType to XYImageItem.types() so that get_items_in_rectangle() can properly identify XY image items
  • Updated __implements__ tuples for consistency across XYImageItem, MaskedXYImageItem, and MaskedImageItem
  • The tool now correctly displays statistics for images with non-uniform coordinates
• Fixed snapshot tool failing with SystemError on XYImageItem and MaskedXYImageItem:
  • Fixed assemble_imageitems passing list instead of tuple to C extension function _scale_rect
  • Added missing export_roi method to XYImageItem to properly handle non-uniform coordinate transformations
  • Snapshots of XY images now render correctly instead of producing black images

Version 2.8.0

💥 New features / Enhancements:

• Curve fitting: added support for locked parameters:
  • New locked parameter in FitParam class to lock parameter values during automatic optimization
  • New locked field in FitParamDataSet to configure parameter locking via the settings dialog
  • When locked, parameters retain their manually-adjusted values during auto-fit
  • Visual indicators: locked parameters show a 🔒 emoji and are grayed out with disabled controls
  • All optimization algorithms (simplex, Powell, BFGS, L-BFGS-B, conjugate gradient, least squares) fully support locked parameters
  • Enables partial optimization workflows: fix well-determined parameters, optimize uncertain ones
  • Improves fit convergence by reducing problem dimensionality
• Configurable autoscale margin:
  • Added autoscale_margin_percent parameter to BasePlotOptions for intuitive percentage-based margin control
  • Users can now specify autoscale margins as percentages (e.g., 0.2 for 0.2%, 5.0 for 5%)
  • Replaces the previous decimal-based approach with more user-friendly percentage values
  • Default remains 0.2% (equivalent to previous 0.002) for backward compatibility
  • Includes validation to prevent unreasonable values (0-50% range)
• Image statistics tool improvements:
  • Enhanced get_stats function to display delta (Δ) values for coordinate ranges
  • Now shows Δx, Δy, and Δz values alongside the min/max ranges for better analysis
• Added optional "Axes" tab control in Parameters dialog:
  • New show_axes_tab option in BasePlotOptions and PlotOptions (default: True)
  • When set to False, the "Axes" tab is hidden from item parameter dialogs
  • This allows applications to provide their own axes management while using PlotPy
  • Can be configured during plot creation or changed at runtime using plot.set_show_axes_tab(False)
• Issue #45 - Add support for new curve Y-range cursor tool YRangeCursorTool:
  • This tool is similar to the existing CurveStatsTool, but it simply shows the Y-range values (min, max and interval).
  • It can be added to the plot widget using plot_widget.manager.add_tool(YRangeCursorTool)
• Update color configurations defaults for improved visibility
• Item list:
  • Added a new "Rename" context menu entry to rename the selected item
  • This entry is only available for editable items
• X and Y range selection items:
  • Added support for item title in parameters data set (RangeShapeParam)
  • This concerns the XRangeSelection and YRangeSelection items
• New annotated X and Y range selection items:
  • Added AnnotatedXRange and AnnotatedYRange items
  • These items provide X and Y range selection with an annotation label
  • They can be created using make.annotated_xrange and make.annotated_yrange functions
• New SyncPlotDialog class:
  • This class provides a dialog for displaying synchronized plots.
  • This is a complementary class to SyncPlotWindow, providing a modal dialog interface for synchronized plotting.
• Native datetime axis support:
  • Added BasePlot.set_axis_datetime() method to easily configure an axis for datetime display
  • Added BasePlot.set_axis_limits_from_datetime() method to set axis limits using datetime objects directly
  • Supports customizable datetime format strings using Python's strftime format codes
  • Configurable label rotation and spacing for optimal display
  • Example: plot.set_axis_datetime("bottom", format="%H:%M:%S") for time-only display
  • Example: plot.set_axis_limits_from_datetime("bottom", dt1, dt2) to zoom to a specific time range
  • Added "datetime" as a valid scale type (alongside "lin" and "log") for axis configuration
  • Added datetime coordinate formatting support throughout PlotPy:
    • Cursor tools (VCursorTool, HCursorTool, XCursorTool) now display datetime-formatted X/Y coordinates
    • CurveStatsTool now displays datetime-formatted X coordinates for statistical computations
    • Marker labels automatically format coordinates as datetime when axis uses datetime scale
    • Coordinate display in the plot canvas now shows datetime format when appropriate
    • Refactored ObjectInfo base class to provide shared datetime formatting methods for code reuse

🧹 API cleanup: removed deprecated update methods (use update_item instead)

• Removed AnnotationParam.update_annotation method
• Removed AxesShapeParam.update_axes method
• Removed AxesParam.update_axes method
• Removed ImageAxesParam.update_axes method
• Removed LabelParam.update_label method
• Removed MarkerParam.update_marker method
• Removed RangeShapeParam.update_range method
• Removed ShapeParam.update_shape method

🛠️ Bug fixes:

• Fixed RuntimeError in SyncPlotWindow and SyncPlotDialog when closing widgets quickly:
  • Fixed "wrapped C/C++ object of type QwtScaleWidget has been deleted" error that occurred when widgets were closed before the deferred plot rescaling operation could complete
  • Replaced QTimer.singleShot() with controllable QTimer instances that can be stopped on widget close
  • Added handle_show_event() and handle_close_event() methods to BaseSyncPlot for proper timer lifecycle management
  • Refactored showEvent() and closeEvent() in both SyncPlotWindow and SyncPlotDialog to eliminate code duplication
  • Added early exit check in rescale_plots() to prevent execution if the timer has been stopped
  • This fix ensures clean widget shutdown and prevents Qt from attempting to access deleted C++ objects
• Cross-section panels: Fixed autoscaling logic in BaseCrossSectionPlot
  • Streamlined handling of autoscale_mode and lockscales options for consistent scaling behavior across all code paths
  • The update_plot() method now delegates all scaling logic to plot_axis_changed() to avoid code duplication and ensure consistency
  • Fixed issue where Y cross-section plots for rectangular images with non-uniform axes (e.g., Y = f(X)) were not properly scaled on initial display
  • The lockscales mode now correctly syncs the cross-section axis (CS_AXIS) to the image plot while autoscaling the intensity axis (Z_AXIS)
• Issue #49 - Fixed multiple coordinate handling bugs in XYImageItem:
  • Root cause: XYImageItem internally stores bin edges (length n+1) but several methods were incorrectly treating them as pixel centers (length n)
  • Fixed get_x_values() and get_y_values() to correctly compute and return pixel centers from stored bin edges: (edge[i] + edge[i+1]) / 2
  • Fixed get_pixel_coordinates() to correctly convert plot coordinates to pixel indices using searchsorted() with proper edge-to-index adjustment
  • Fixed get_plot_coordinates() to return pixel center coordinates instead of bin edge coordinates
  • Fixed get_closest_coordinates() to return pixel center coordinates instead of bin edge coordinates
  • Added comprehensive docstring documentation explaining that XYImageItem.x and XYImageItem.y store bin edges, not pixel centers
  • Removed redundant pixel centering code in CrossSectionItem.update_curve_data() that was working around these bugs
  • This fixes the reported issue where using cross-section tools progressively translated image data to the bottom-right corner
  • All coordinate-related methods now properly handle the bin edge vs pixel center distinction throughout the XYImageItem API
• Fixed index bounds calculation for image slicing compatibility:
  • Corrected the calculation of maximum indices in get_plot_coordinates to ensure proper bounds when using NumPy array slicing
  • Previously, the maximum indices were off by one, which could cause issues when extracting image data using the returned coordinates
  • Now returns indices that correctly align with Python/NumPy slicing conventions (e.g., [i1:i2+1, j1:j2+1])
  • This fixes an historic bug that could lead to off-by-one errors when users extracted image data using the coordinates provided by this function
• Fixed plot update after inserting a point using the EditPointTool on non-Windows platforms
• Issue #46 - Contrast adjustment with 'Eliminate outliers' failed for float images with high dynamic range
• Issue #29 - SelectTool: Selecting Another Shape Without Unselection
  • Fixed direct selection between different shapes without requiring intermediate click on empty space
  • Users can now click directly from one shape to another for immediate selection
  • Maintains all existing functionality including multi-selection (Ctrl+click), moving, and resizing
• Fixed ErrorBarCurveItem handling of all-NaN data:
  • Fixed ValueError: zero-size array to reduction operation minimum which has no identity w...

v2.8.0

💥 New features / Enhancements:

• Curve fitting: added support for locked parameters:
  • New locked parameter in FitParam class to lock parameter values during automatic optimization
  • New locked field in FitParamDataSet to configure parameter locking via the settings dialog
  • When locked, parameters retain their manually-adjusted values during auto-fit
  • Visual indicators: locked parameters show a 🔒 emoji and are grayed out with disabled controls
  • All optimization algorithms (simplex, Powell, BFGS, L-BFGS-B, conjugate gradient, least squares) fully support locked parameters
  • Enables partial optimization workflows: fix well-determined parameters, optimize uncertain ones
  • Improves fit convergence by reducing problem dimensionality
• Configurable autoscale margin:
  • Added autoscale_margin_percent parameter to BasePlotOptions for intuitive percentage-based margin control
  • Users can now specify autoscale margins as percentages (e.g., 0.2 for 0.2%, 5.0 for 5%)
  • Replaces the previous decimal-based approach with more user-friendly percentage values
  • Default remains 0.2% (equivalent to previous 0.002) for backward compatibility
  • Includes validation to prevent unreasonable values (0-50% range)
• Image statistics tool improvements:
  • Enhanced get_stats function to display delta (Δ) values for coordinate ranges
  • Now shows Δx, Δy, and Δz values alongside the min/max ranges for better analysis
• Added optional "Axes" tab control in Parameters dialog:
  • New show_axes_tab option in BasePlotOptions and PlotOptions (default: True)
  • When set to False, the "Axes" tab is hidden from item parameter dialogs
  • This allows applications to provide their own axes management while using PlotPy
  • Can be configured during plot creation or changed at runtime using plot.set_show_axes_tab(False)
• Issue #45 - Add support for new curve Y-range cursor tool YRangeCursorTool:
  • This tool is similar to the existing CurveStatsTool, but it simply shows the Y-range values (min, max and interval).
  • It can be added to the plot widget using plot_widget.manager.add_tool(YRangeCursorTool)
• Update color configurations defaults for improved visibility
• Item list:
  • Added a new "Rename" context menu entry to rename the selected item
  • This entry is only available for editable items
• X and Y range selection items:
  • Added support for item title in parameters data set (RangeShapeParam)
  • This concerns the XRangeSelection and YRangeSelection items
• New annotated X and Y range selection items:
  • Added AnnotatedXRange and AnnotatedYRange items
  • These items provide X and Y range selection with an annotation label
  • They can be created using make.annotated_xrange and make.annotated_yrange functions
• New SyncPlotDialog class:
  • This class provides a dialog for displaying synchronized plots.
  • This is a complementary class to SyncPlotWindow, providing a modal dialog interface for synchronized plotting.
• Native datetime axis support:
  • Added BasePlot.set_axis_datetime() method to easily configure an axis for datetime display
  • Added BasePlot.set_axis_limits_from_datetime() method to set axis limits using datetime objects directly
  • Supports customizable datetime format strings using Python's strftime format codes
  • Configurable label rotation and spacing for optimal display
  • Example: plot.set_axis_datetime("bottom", format="%H:%M:%S") for time-only display
  • Example: plot.set_axis_limits_from_datetime("bottom", dt1, dt2) to zoom to a specific time range
  • Added "datetime" as a valid scale type (alongside "lin" and "log") for axis configuration
  • Added datetime coordinate formatting support throughout PlotPy:
    • Cursor tools (VCursorTool, HCursorTool, XCursorTool) now display datetime-formatted X/Y coordinates
    • CurveStatsTool now displays datetime-formatted X coordinates for statistical computations
    • Marker labels automatically format coordinates as datetime when axis uses datetime scale
    • Coordinate display in the plot canvas now shows datetime format when appropriate
    • Refactored ObjectInfo base class to provide shared datetime formatting methods for code reuse

🧹 API cleanup: removed deprecated update methods (use update_item instead)

• Removed AnnotationParam.update_annotation method
• Removed AxesShapeParam.update_axes method
• Removed AxesParam.update_axes method
• Removed ImageAxesParam.update_axes method
• Removed LabelParam.update_label method
• Removed MarkerParam.update_marker method
• Removed RangeShapeParam.update_range method
• Removed ShapeParam.update_shape method

🛠️ Bug fixes:

• Fixed RuntimeError in SyncPlotWindow and SyncPlotDialog when closing widgets quickly:
  • Fixed "wrapped C/C++ object of type QwtScaleWidget has been deleted" error that occurred when widgets were closed before the deferred plot rescaling operation could complete
  • Replaced QTimer.singleShot() with controllable QTimer instances that can be stopped on widget close
  • Added handle_show_event() and handle_close_event() methods to BaseSyncPlot for proper timer lifecycle management
  • Refactored showEvent() and closeEvent() in both SyncPlotWindow and SyncPlotDialog to eliminate code duplication
  • Added early exit check in rescale_plots() to prevent execution if the timer has been stopped
  • This fix ensures clean widget shutdown and prevents Qt from attempting to access deleted C++ objects
• Cross-section panels: Fixed autoscaling logic in BaseCrossSectionPlot
  • Streamlined handling of autoscale_mode and lockscales options for consistent scaling behavior across all code paths
  • The update_plot() method now delegates all scaling logic to plot_axis_changed() to avoid code duplication and ensure consistency
  • Fixed issue where Y cross-section plots for rectangular images with non-uniform axes (e.g., Y = f(X)) were not properly scaled on initial display
  • The lockscales mode now correctly syncs the cross-section axis (CS_AXIS) to the image plot while autoscaling the intensity axis (Z_AXIS)
• Issue #49 - Fixed multiple coordinate handling bugs in XYImageItem:
  • Root cause: XYImageItem internally stores bin edges (length n+1) but several methods were incorrectly treating them as pixel centers (length n)
  • Fixed get_x_values() and get_y_values() to correctly compute and return pixel centers from stored bin edges: (edge[i] + edge[i+1]) / 2
  • Fixed get_pixel_coordinates() to correctly convert plot coordinates to pixel indices using searchsorted() with proper edge-to-index adjustment
  • Fixed get_plot_coordinates() to return pixel center coordinates instead of bin edge coordinates
  • Fixed get_closest_coordinates() to return pixel center coordinates instead of bin edge coordinates
  • Added comprehensive docstring documentation explaining that XYImageItem.x and XYImageItem.y store bin edges, not pixel centers
  • Removed redundant pixel centering code in CrossSectionItem.update_curve_data() that was working around these bugs
  • This fixes the reported issue where using cross-section tools progressively translated image data to the bottom-right corner
  • All coordinate-related methods now properly handle the bin edge vs pixel center distinction throughout the XYImageItem API
• Fixed index bounds calculation for image slicing compatibility:
  • Corrected the calculation of maximum indices in get_plot_coordinates to ensure proper bounds when using NumPy array slicing
  • Previously, the maximum indices were off by one, which could cause issues when extracting image data using the returned coordinates
  • Now returns indices that correctly align with Python/NumPy slicing conventions (e.g., [i1:i2+1, j1:j2+1])
  • This fixes an historic bug that could lead to off-by-one errors when users extracted image data using the coordinates provided by this function
• Fixed plot update after inserting a point using the EditPointTool on non-Windows platforms
• Issue #46 - Contrast adjustment with 'Eliminate outliers' failed for float images with high dynamic range
• Issue #29 - SelectTool: Selecting Another Shape Without Unselection
  • Fixed direct selection between different shapes without requiring intermediate click on empty space
  • Users can now click directly from one shape to another for immediate selection
  • Maintains all existing functionality including multi-selection (Ctrl+click), moving, and resizing
• Fixed ErrorBarCurveItem handling of all-NaN data:
  • Fixed ValueError: zero-size array to reduction operation minimum which has no identity when error bar curves contain only NaN values
  • Added proper checks in boundingRect() and draw() methods to handle empty arrays gracefully
  • Error bar curves with all-NaN data now fall back to parent class behavior instead of crashing
• Item list: refresh tree when item parameters are changed:
  • Added SIG_ITEM_PARAMETERS_CHANGED signal to BasePlot class
  • This signal is emitted when the parameters of an item are changed using the parameters dialog, or a specific tool (e.g. the colormap selection tool, or the lock/unlock tool for image items)
  • The signal is emitted with the item as argument
  • The ItemListWidget now listens to this signal and refreshes the item list accordingly
• Edit tools (Edit data, center image position):
  • Exclude read-only items from the list of editable items
  • It is no longer possible to use those tools on read-only items
• Marker items (markers, cursors):
  • Setting item movable s...

v2.7.5

Version 2.7.5

🛠️ Bug fixes:

• Issue #44 - Incorrect calculation method for "∑(y)" in CurveStatsTool: replaced spt.trapezoid with np.sum, which is more consistent with the summation operation
• Fix update_status method in all cross-section tools (intensity profile tools):
  • Use get_items instead of get_selected_items to retrieve the image items
  • This allows the tools to work properly when no image item is selected, but there are image items in the plot
  • This closes Issue #47 - Intensity profile tools do not work when no image item is selected

Other changes:

• Updated guidata dependency to V3.10.0
• Using new guidata translation utility based on babel

v2.7.4

In this release, test coverage is 80%.

🛠️ Bug fixes:

• Issue #42 - Image profiles: when moving/resizing image, profile plots are not refreshed
• Issue #41 - Average profile visualization: empty profile is displayed when the target rectangular area is outside the image area

v2.7.3

In this release, test coverage is 80%.

🛠️ Bug fixes:

• Issue #40 - Z-axis logarithmic scale (ZAxisLogTool tool) is not compatible with anti-aliasing interpolation
• Fix intersection check for destination rectangle in XYImageFilterItem
• Issue #36 - Image items are not properly scaling along Y-axis with logarithmic scale:
  • Actually, image items do not support non-linear scales (this is an historical limitation)
  • This is not documented at all, so we've added an explicit warning: a red colored message is displayed at the center of the image frame when any non-linear scale is applied to either X or Y axis
  • When dealing with non-linear scales, PlotPy provides an alternative solution: the user may rely on XYImageItem (e.g. by using make.xyimage) as this item supports arbitrary X and Y pixel coordinates
• Issue #34 - ValueError when trying to plot 2D histogram items with PyQt6

Other changes:

• Replace deprecated icon files with new SVG icons for selection tools

v2.7.2

Version 2.7.2

🛠️ Bug fixes:

• Issue #32 - Plot item list panel's parameters dialog box is empty for non-selectable items
• Issue #30 - handle_final_shape_cb argument doesn't work on MultilineTool, PolygonTool, AnnotatedPolygonTool

v2.7.1

Version 2.7.1

🛠️ Bug fixes:

• Fixed update canvasRect type to QRectF for intersection checks in CircleSVGShape, following this bug fix in PythonQwt V0.14.4
• Fixed regression with respect to guiqwt regarding plot items instantiation:
  • guiqwt was allowing to instantiate plot items without needing to create a QApplication instance (no GUI event loop was required)
  • This was not the case with plotpy, so that it was not possible -for example- to serialize/deserialize plot items to JSON without creating a QApplication instance
  • This has been fixed by removing the QIcon instantiation from the plot items constructors (call to QwtPlotItem.setIcon method). Note that -in the meantime- QwtPlotItem.setIcon and QwtPlotItem.icon methods have also been removed in PythonQwt V0.14.3. Code relying on this feature should thus be updated to use the new get_icon_name method instead, i.e. get_icon(item.get_icon_name()) instead of item.icon().
• Issue #26 - Item list panel should not allow to select a non-selectable item

v2.7.0

Version 2.7.0

Supported versions of Python have been updated (drop support for Python 3.8, add support for Python 3.13):

• PlotPy < 2.7.0: Python 3.8, 3.9, 3.10, 3.11 and 3.12
• PlotPy >= 2.7.0: Python 3.9, 3.10, 3.11, 3.12 and 3.13

Other dependencies have been updated:

• Updated versions to those available at the time of the release of the oldest supported Python version (3.9)
• Exception: Cython 3.0 is required for Python 3.13

💥 New features / Enhancements:

• Added AnnotatedPolygon annotation to items
• Added make.annotated_polygon function to plotpy.builder module
• Customization of annotation information:
  • Added info_callback argument to all annotation class constructors
  • Added set_info_callback method to all annotation classes
  • The info_callback is a function that takes the annotation object and returns a string with the information to display
  • Default info_callback is redirected to the get_infos method of the annotation object (this makes the feature backward compatible)

🛠️ Bug fixes:

• Fixed pydicom support: use dcmread instead of read_file to read DICOM files

v2.6.3

⚡ Ready-to-use packages for all platforms are available on PyPI

🧯 In this release, test coverage is 79%.

🛠️ Bug fixes:

• Issue #25 - OverflowError with Contrast Adjustment panel for constant images
• When updating image parameters (ImageParam) from the associated item object:
  • If xmin, xmax, ymin, ymax attributes are not yet set (i.e. None), do not update them with the image data bounds
  • Previous behavior was to update them with the image data bounds, which was leading to breaking the automatic bounds update when the image data is updated
• Issue #24 - Colormap: side effect on image axes when changing the colormap
• Issue #23 - Windows: Image _scaler engine performance regression
• PySide6 compatibility issues:
  • Fixed deprecated call to QMouseEvent in tests/unit/utils.py
  • Added workaround for QPolygonF shape point slicing
• Issue #21 - PySide6 on Linux: segfault in test_colormap_editor.py
• Fixed sliderMoved signal connection in ColorMapEditor
• Fixed AssertionError in test_rect_zoom.py (Linux, Python 3.12, PyQt6)
• Fixed typing issues in plotpy.events module:
  • Event objects were not properly typed (QtCore.QEvent instead of QtGui.QMouseEvent)
  • Event position arguments were not properly typed (QtCore.QPoint instead of QtCore.QPointF)
• Fix NumPy FutureWarning: Format strings passed to MaskedConstant are ignored [...] when displaying masked pixel coordinates