1.5.0

Automatically generated by python-semantic-release

CHANGELOG.md

@@ -1,6 +1,32 @@
 # CHANGELOG
 
 
+## v1.5.0 (2024-11-12)
+
+### Bug Fixes
+
+- **crosshair**: Crosshair adapted for multi waveform widget
+  ([`0cd85ed`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/0cd85ed9fa5b67a6ecce89985cd4f54b7bbe3a4b))
+
+### Documentation
+
+- **multi_waveform**: Docs added
+  ([`42d4f18`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/42d4f182f790a97687ca3b6d0e72866070a89767))
+
+### Features
+
+- **multi-waveform**: New widget added
+  ([`f3a39a6`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/f3a39a69e29d490b3023a508ced18028c4205772))
+
+
+## v1.4.1 (2024-11-12)
+
+### Bug Fixes
+
+- **positioner_box**: Adjusted default signals
+  ([`8e5c0ad`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/8e5c0ad8c8eff5a9308169bc663d2b7230f0ebb1))
+
+
 ## v1.4.0 (2024-11-11)
 
 ### Bug Fixes
@@ -176,9 +202,6 @@ This property tells if expand should show a popup (by default), or if the widget
 - Emit 'device_selected' and 'scan_axis' from scan control widget
   ([`0b9b1a3`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/0b9b1a3c89a98505079f7d4078915b7bbfaa1e23))
 
-- New 'device_selected' signals to ScanControl, ScanGroupBox, DeviceLineEdit
-  ([`9801d27`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/9801d2769eb0ee95c94ec0c011e1dac1407142ae))
-
 ### Refactoring
 
 - Redesign of scan selection and scan control boxes
@@ -186,24 +209,3 @@ This property tells if expand should show a popup (by default), or if the widget
 
 - Move add/remove bundle to scan group box
   ([`e3d0a7b`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/e3d0a7bbf9918dc16eb7227a178c310256ce570d))
-
-
-## v0.118.0 (2024-10-13)
-
-### Documentation
-
-- **sphinx-build**: Adjusted pyside verion
-  ([`b236951`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/b23695167ab969f754a058ffdccca2b40f00a008))
-
-### Features
-
-- **image**: Image widget can take data from monitor_1d endpoint
-  ([`9ef1d1c`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/9ef1d1c9ac2178d9fa2e655942208f8abbdf5c1b))
-
-
-## v0.117.1 (2024-10-11)
-
-### Bug Fixes
-
-- **FPS**: Qtimer cleanup leaking
-  ([`3a22392`](https://gitlab.psi.ch/bec/bec_widgets/-/commit/3a2239278075de7489ad10a58c31d7d89715e221))

bec_widgets/cli/client.py

@@ -22,6 +22,7 @@ class Widgets(str, enum.Enum):
     BECFigure = "BECFigure"
     BECImageWidget = "BECImageWidget"
     BECMotorMapWidget = "BECMotorMapWidget"
+    BECMultiWaveformWidget = "BECMultiWaveformWidget"
     BECProgressBar = "BECProgressBar"
     BECQueue = "BECQueue"
     BECStatusBox = "BECStatusBox"
@@ -1574,6 +1575,436 @@ class BECMotorMapWidget(RPCBase):
         """
 
 
+class BECMultiWaveform(RPCBase):
+    @property
+    @rpc_call
+    def _rpc_id(self) -> "str":
+        """
+        Get the RPC ID of the widget.
+        """
+
+    @property
+    @rpc_call
+    def _config_dict(self) -> "dict":
+        """
+        Get the configuration of the widget.
+
+        Returns:
+            dict: The configuration of the widget.
+        """
+
+    @property
+    @rpc_call
+    def curves(self) -> collections.deque:
+        """
+        Get the curves of the plot widget as a deque.
+        Returns:
+            deque: Deque of curves.
+        """
+
+    @rpc_call
+    def set_monitor(self, monitor: str):
+        """
+        Set the monitor for the plot widget.
+        Args:
+            monitor (str): The monitor to set.
+        """
+
+    @rpc_call
+    def set_opacity(self, opacity: int):
+        """
+        Set the opacity of the curve on the plot.
+
+        Args:
+            opacity(int): The opacity of the curve. 0-100.
+        """
+
+    @rpc_call
+    def set_curve_limit(self, max_trace: int, flush_buffer: bool = False):
+        """
+        Set the maximum number of traces to display on the plot.
+
+        Args:
+            max_trace (int): The maximum number of traces to display.
+            flush_buffer (bool): Flush the buffer.
+        """
+
+    @rpc_call
+    def set_curve_highlight(self, index: int):
+        """
+        Set the curve highlight based on visible curves.
+
+        Args:
+            index (int): The index of the curve to highlight among visible curves.
+        """
+
+    @rpc_call
+    def set_colormap(self, colormap: str):
+        """
+        Set the colormap for the scatter plot z gradient.
+
+        Args:
+            colormap(str): Colormap for the scatter plot.
+        """
+
+    @rpc_call
+    def set(self, **kwargs) -> "None":
+        """
+        Set the properties of the plot widget.
+
+        Args:
+            **kwargs: Keyword arguments for the properties to be set.
+
+        Possible properties:
+            - title: str
+            - x_label: str
+            - y_label: str
+            - x_scale: Literal["linear", "log"]
+            - y_scale: Literal["linear", "log"]
+            - x_lim: tuple
+            - y_lim: tuple
+            - legend_label_size: int
+        """
+
+    @rpc_call
+    def set_title(self, title: "str", size: "int" = None):
+        """
+        Set the title of the plot widget.
+
+        Args:
+            title(str): Title of the plot widget.
+            size(int): Font size of the title.
+        """
+
+    @rpc_call
+    def set_x_label(self, label: "str", size: "int" = None):
+        """
+        Set the label of the x-axis.
+
+        Args:
+            label(str): Label of the x-axis.
+            size(int): Font size of the label.
+        """
+
+    @rpc_call
+    def set_y_label(self, label: "str", size: "int" = None):
+        """
+        Set the label of the y-axis.
+
+        Args:
+            label(str): Label of the y-axis.
+            size(int): Font size of the label.
+        """
+
+    @rpc_call
+    def set_x_scale(self, scale: "Literal['linear', 'log']" = "linear"):
+        """
+        Set the scale of the x-axis.
+
+        Args:
+            scale(Literal["linear", "log"]): Scale of the x-axis.
+        """
+
+    @rpc_call
+    def set_y_scale(self, scale: "Literal['linear', 'log']" = "linear"):
+        """
+        Set the scale of the y-axis.
+
+        Args:
+            scale(Literal["linear", "log"]): Scale of the y-axis.
+        """
+
+    @rpc_call
+    def set_x_lim(self, *args) -> "None":
+        """
+        Set the limits of the x-axis. This method can accept either two separate arguments
+        for the minimum and maximum x-axis values, or a single tuple containing both limits.
+
+        Usage:
+            set_x_lim(x_min, x_max)
+            set_x_lim((x_min, x_max))
+
+        Args:
+            *args: A variable number of arguments. Can be two integers (x_min and x_max)
+                   or a single tuple with two integers.
+        """
+
+    @rpc_call
+    def set_y_lim(self, *args) -> "None":
+        """
+        Set the limits of the y-axis. This method can accept either two separate arguments
+        for the minimum and maximum y-axis values, or a single tuple containing both limits.
+
+        Usage:
+            set_y_lim(y_min, y_max)
+            set_y_lim((y_min, y_max))
+
+        Args:
+            *args: A variable number of arguments. Can be two integers (y_min and y_max)
+                   or a single tuple with two integers.
+        """
+
+    @rpc_call
+    def set_grid(self, x: "bool" = False, y: "bool" = False):
+        """
+        Set the grid of the plot widget.
+
+        Args:
+            x(bool): Show grid on the x-axis.
+            y(bool): Show grid on the y-axis.
+        """
+
+    @rpc_call
+    def set_colormap(self, colormap: str):
+        """
+        Set the colormap for the scatter plot z gradient.
+
+        Args:
+            colormap(str): Colormap for the scatter plot.
+        """
+
+    @rpc_call
+    def enable_fps_monitor(self, enable: "bool" = True):
+        """
+        Enable the FPS monitor.
+
+        Args:
+            enable(bool): True to enable, False to disable.
+        """
+
+    @rpc_call
+    def lock_aspect_ratio(self, lock):
+        """
+        Lock aspect ratio.
+
+        Args:
+            lock(bool): True to lock, False to unlock.
+        """
+
+    @rpc_call
+    def get_all_data(self, output: Literal["dict", "pandas"] = "dict") -> dict:
+        """
+        Extract all curve data into a dictionary or a pandas DataFrame.
+
+        Args:
+            output (Literal["dict", "pandas"]): Format of the output data.
+
+        Returns:
+            dict | pd.DataFrame: Data of all curves in the specified format.
+        """
+
+    @rpc_call
+    def export(self):
+        """
+        Show the Export Dialog of the plot widget.
+        """
+
+    @rpc_call
+    def remove(self):
+        """
+        Remove the plot widget from the figure.
+        """
+
+
+class BECMultiWaveformWidget(RPCBase):
+    @property
+    @rpc_call
+    def curves(self) -> list[pyqtgraph.graphicsItems.PlotDataItem.PlotDataItem]:
+        """
+        Get the curves of the plot widget as a list
+        Returns:
+            list: List of curves.
+        """
+
+    @rpc_call
+    def set_monitor(self, monitor: str) -> None:
+        """
+        Set the monitor of the plot widget.
+
+        Args:
+            monitor(str): The monitor to set.
+        """
+
+    @rpc_call
+    def set_curve_highlight(self, index: int) -> None:
+        """
+        Set the curve highlight of the plot widget by index
+
+        Args:
+            index(int): The index of the curve to highlight.
+        """
+
+    @rpc_call
+    def set_opacity(self, opacity: int) -> None:
+        """
+        Set the opacity of the plot widget.
+
+        Args:
+            opacity(int): The opacity to set.
+        """
+
+    @rpc_call
+    def set_curve_limit(self, curve_limit: int) -> None:
+        """
+        Set the maximum number of traces to display on the plot widget.
+
+        Args:
+            curve_limit(int): The maximum number of traces to display.
+        """
+
+    @rpc_call
+    def set_buffer_flush(self, flush_buffer: bool) -> None:
+        """
+        Set the buffer flush property of the plot widget.
+
+        Args:
+            flush_buffer(bool): True to flush the buffer, False to not flush the buffer.
+        """
+
+    @rpc_call
+    def set_highlight_last_curve(self, enable: bool) -> None:
+        """
+        Enable or disable highlighting of the last curve.
+
+        Args:
+            enable(bool): True to enable highlighting of the last curve, False to disable.
+        """
+
+    @rpc_call
+    def set_colormap(self, colormap: str) -> None:
+        """
+        Set the colormap of the plot widget.
+
+        Args:
+            colormap(str): The colormap to set.
+        """
+
+    @rpc_call
+    def set(self, **kwargs):
+        """
+        Set the properties of the plot widget.
+
+        Args:
+            **kwargs: Keyword arguments for the properties to be set.
+
+        Possible properties:
+            - title: str
+            - x_label: str
+            - y_label: str
+            - x_scale: Literal["linear", "log"]
+            - y_scale: Literal["linear", "log"]
+            - x_lim: tuple
+            - y_lim: tuple
+            - legend_label_size: int
+        """
+
+    @rpc_call
+    def set_title(self, title: str):
+        """
+        Set the title of the plot widget.
+
+        Args:
+            title(str): The title to set.
+        """
+
+    @rpc_call
+    def set_x_label(self, x_label: str):
+        """
+        Set the x-axis label of the plot widget.
+
+        Args:
+            x_label(str): The x-axis label to set.
+        """
+
+    @rpc_call
+    def set_y_label(self, y_label: str):
+        """
+        Set the y-axis label of the plot widget.
+
+        Args:
+            y_label(str): The y-axis label to set.
+        """
+
+    @rpc_call
+    def set_x_scale(self, x_scale: Literal["linear", "log"]):
+        """
+        Set the x-axis scale of the plot widget.
+
+        Args:
+            x_scale(str): The x-axis scale to set.
+        """
+
+    @rpc_call
+    def set_y_scale(self, y_scale: Literal["linear", "log"]):
+        """
+        Set the y-axis scale of the plot widget.
+
+        Args:
+            y_scale(str): The y-axis scale to set.
+        """
+
+    @rpc_call
+    def set_x_lim(self, x_lim: tuple):
+        """
+        Set x-axis limits of the plot widget.
+
+        Args:
+            x_lim(tuple): The x-axis limits to set.
+        """
+
+    @rpc_call
+    def set_y_lim(self, y_lim: tuple):
+        """
+        Set y-axis limits of the plot widget.
+
+        Args:
+            y_lim(tuple): The y-axis limits to set.
+        """
+
+    @rpc_call
+    def set_grid(self, x_grid: bool, y_grid: bool):
+        """
+        Set the grid of the plot widget.
+
+        Args:
+            x_grid(bool): True to enable the x-grid, False to disable.
+            y_grid(bool): True to enable the y-grid, False to disable.
+        """
+
+    @rpc_call
+    def set_colormap(self, colormap: str) -> None:
+        """
+        Set the colormap of the plot widget.
+
+        Args:
+            colormap(str): The colormap to set.
+        """
+
+    @rpc_call
+    def enable_fps_monitor(self, enabled: bool):
+        """
+        Enable or disable the FPS monitor
+
+        Args:
+            enabled(bool): True to enable the FPS monitor, False to disable.
+        """
+
+    @rpc_call
+    def lock_aspect_ratio(self, lock: bool):
+        """
+        Lock the aspect ratio of the plot widget.
+
+        Args:
+            lock(bool): True to lock the aspect ratio, False to unlock.
+        """
+
+    @rpc_call
+    def export(self):
+        """
+        Export the plot widget.
+        """
+
+
 class BECPlotBase(RPCBase):
     @property
     @rpc_call

bec_widgets/cli/rpc_register.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from threading import Lock
 from weakref import WeakValueDictionary
 

bec_widgets/cli/rpc_wigdet_handler.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from bec_widgets.utils import BECConnector
 
 

bec_widgets/examples/jupyter_console/jupyter_console_window.py

@@ -56,6 +56,7 @@ class JupyterConsoleWindow(QWidget):  # pragma: no cover:
                     # "cm": self.colormap,
                     "im": self.im,
                     "mm": self.mm,
+                    "mw": self.mw,
                 }
             )
 
@@ -167,9 +168,11 @@ class JupyterConsoleWindow(QWidget):  # pragma: no cover:
         self.im.image("waveform", "1d")
 
         self.d2 = self.dock.add_dock(name="dock_2", position="bottom")
-        self.wf = self.d2.add_widget("BECWaveformWidget", row=0, col=0)
-        self.wf.plot(x_name="samx", y_name="bpm3a")
-        self.wf.plot(x_name="samx", y_name="bpm4i", dap="GaussianModel")
+        self.wf = self.d2.add_widget("BECFigure", row=0, col=0)
+
+        self.mw = self.wf.multi_waveform(monitor="waveform")  # , config=config)
+        # self.wf.plot(x_name="samx", y_name="bpm3a")
+        # self.wf.plot(x_name="samx", y_name="bpm4i", dap="GaussianModel")
         # self.bar = self.d2.add_widget("RingProgressBar", row=0, col=1)
         # self.bar.set_diameter(200)
 
@@ -210,6 +213,7 @@ if __name__ == "__main__":  # pragma: no cover
 
     win = JupyterConsoleWindow()
     win.show()
+    win.resize(1200, 800)
 
     app.aboutToQuit.connect(win.close)
     sys.exit(app.exec_())

bec_widgets/utils/crosshair.py

@@ -6,13 +6,16 @@ from qtpy.QtCore import QObject, Qt, Signal, Slot
 from qtpy.QtWidgets import QApplication
 
 
-class NonDownsamplingScatterPlotItem(pg.ScatterPlotItem):
+class CrosshairScatterItem(pg.ScatterPlotItem):
     def setDownsampling(self, ds=None, auto=None, method=None):
         pass
 
     def setClipToView(self, state):
         pass
 
+    def setAlpha(self, *args, **kwargs):
+        pass
+
 
 class Crosshair(QObject):
     # QT Position of mouse cursor
@@ -47,9 +50,15 @@ class Crosshair(QObject):
         self.v_line.skip_auto_range = True
         self.h_line = pg.InfiniteLine(angle=0, movable=False)
         self.h_line.skip_auto_range = True
+        # Add custom attribute to identify crosshair lines
+        self.v_line.is_crosshair = True
+        self.h_line.is_crosshair = True
         self.plot_item.addItem(self.v_line, ignoreBounds=True)
         self.plot_item.addItem(self.h_line, ignoreBounds=True)
 
+        # Initialize highlighted curve in a case of multiple curves
+        self.highlighted_curve_index = None
+
         # Add TextItem to display coordinates
         self.coord_label = pg.TextItem("", anchor=(1, 1), fill=(0, 0, 0, 100))
         self.coord_label.setVisible(False)  # Hide initially
@@ -70,6 +79,7 @@ class Crosshair(QObject):
         self.plot_item.ctrl.downsampleSpin.valueChanged.connect(self.clear_markers)
 
         # Initialize markers
+        self.items = []
         self.marker_moved_1d = {}
         self.marker_clicked_1d = {}
         self.marker_2d = None
@@ -113,34 +123,74 @@ class Crosshair(QObject):
         self.coord_label.fill = pg.mkBrush(label_bg_color)
         self.coord_label.border = pg.mkPen(None)
 
+    @Slot(int)
+    def update_highlighted_curve(self, curve_index: int):
+        """
+        Update the highlighted curve in the case of multiple curves in a plot item.
+
+        Args:
+            curve_index(int): The index of curve to highlight
+        """
+        self.highlighted_curve_index = curve_index
+        self.clear_markers()
+        self.update_markers()
+
     def update_markers(self):
         """Update the markers for the crosshair, creating new ones if necessary."""
 
-        # Create new markers
-        for item in self.plot_item.items:
+        if self.highlighted_curve_index is not None and hasattr(self.plot_item, "visible_curves"):
+            # Focus on the highlighted curve only
+            self.items = [self.plot_item.visible_curves[self.highlighted_curve_index]]
+        else:
+            # Handle all curves
+            self.items = self.plot_item.items
+
+        # Create or update markers
+        for item in self.items:
             if isinstance(item, pg.PlotDataItem):  # 1D plot
-                if item.name() in self.marker_moved_1d:
-                    continue
                 pen = item.opts["pen"]
                 color = pen.color() if hasattr(pen, "color") else pg.mkColor(pen)
-                marker_moved = NonDownsamplingScatterPlotItem(
-                    size=10, pen=pg.mkPen(color), brush=pg.mkBrush(None)
-                )
-                marker_moved.skip_auto_range = True
-                self.marker_moved_1d[item.name()] = marker_moved
-                self.plot_item.addItem(marker_moved)
-
-                # Create glowing effect markers for clicked events
-                for size, alpha in [(18, 64), (14, 128), (10, 255)]:
-                    marker_clicked = NonDownsamplingScatterPlotItem(
-                        size=size,
-                        pen=pg.mkPen(None),
-                        brush=pg.mkBrush(color.red(), color.green(), color.blue(), alpha),
+                name = item.name() or str(id(item))
+                if name in self.marker_moved_1d:
+                    # Update existing markers
+                    marker_moved = self.marker_moved_1d[name]
+                    marker_moved.setPen(pg.mkPen(color))
+                    # Update clicked markers' brushes
+                    for marker_clicked in self.marker_clicked_1d[name]:
+                        alpha = marker_clicked.opts["brush"].color().alpha()
+                        marker_clicked.setBrush(
+                            pg.mkBrush(color.red(), color.green(), color.blue(), alpha)
+                        )
+                    # Update z-values
+                    marker_moved.setZValue(item.zValue() + 1)
+                    for marker_clicked in self.marker_clicked_1d[name]:
+                        marker_clicked.setZValue(item.zValue() + 1)
+                else:
+                    # Create new markers
+                    marker_moved = CrosshairScatterItem(
+                        size=10, pen=pg.mkPen(color), brush=pg.mkBrush(None)
                     )
-                    marker_clicked.skip_auto_range = True
-                    self.marker_clicked_1d[item.name()] = marker_clicked
-                    self.plot_item.addItem(marker_clicked)
+                    marker_moved.skip_auto_range = True
+                    marker_moved.is_crosshair = True
+                    self.marker_moved_1d[name] = marker_moved
+                    self.plot_item.addItem(marker_moved)
+                    # Set marker z-value higher than the curve
+                    marker_moved.setZValue(item.zValue() + 1)
 
+                    # Create glowing effect markers for clicked events
+                    marker_clicked_list = []
+                    for size, alpha in [(18, 64), (14, 128), (10, 255)]:
+                        marker_clicked = CrosshairScatterItem(
+                            size=size,
+                            pen=pg.mkPen(None),
+                            brush=pg.mkBrush(color.red(), color.green(), color.blue(), alpha),
+                        )
+                        marker_clicked.skip_auto_range = True
+                        marker_clicked.is_crosshair = True
+                        self.plot_item.addItem(marker_clicked)
+                        marker_clicked.setZValue(item.zValue() + 1)
+                        marker_clicked_list.append(marker_clicked)
+                    self.marker_clicked_1d[name] = marker_clicked_list
             elif isinstance(item, pg.ImageItem):  # 2D plot
                 if self.marker_2d is not None:
                     continue
@@ -162,12 +212,11 @@ class Crosshair(QObject):
         """
         y_values = defaultdict(list)
         x_values = defaultdict(list)
-        image_2d = None
 
         # Iterate through items in the plot
-        for item in self.plot_item.items:
+        for item in self.items:
             if isinstance(item, pg.PlotDataItem):  # 1D plot
-                name = item.name()
+                name = item.name() or str(id(item))
                 plot_data = item._getDisplayDataset()
                 if plot_data is None:
                     continue
@@ -188,7 +237,7 @@ class Crosshair(QObject):
             elif isinstance(item, pg.ImageItem):  # 2D plot
                 name = item.config.monitor
                 image_2d = item.image
-                # clip the x and y values to the image dimensions to avoid out of bounds errors
+                # Clip the x and y values to the image dimensions to avoid out of bounds errors
                 y_values[name] = int(np.clip(y, 0, image_2d.shape[1] - 1))
                 x_values[name] = int(np.clip(x, 0, image_2d.shape[0] - 1))
 
@@ -256,9 +305,9 @@ class Crosshair(QObject):
                 # not sure how we got here, but just to be safe...
                 return
 
-            for item in self.plot_item.items:
+            for item in self.items:
                 if isinstance(item, pg.PlotDataItem):
-                    name = item.name()
+                    name = item.name() or str(id(item))
                     x, y = x_snap_values[name], y_snap_values[name]
                     if x is None or y is None:
                         continue
@@ -309,13 +358,14 @@ class Crosshair(QObject):
                 # not sure how we got here, but just to be safe...
                 return
 
-            for item in self.plot_item.items:
+            for item in self.items:
                 if isinstance(item, pg.PlotDataItem):
-                    name = item.name()
+                    name = item.name() or str(id(item))
                     x, y = x_snap_values[name], y_snap_values[name]
                     if x is None or y is None:
                         continue
-                    self.marker_clicked_1d[name].setData([x], [y])
+                    for marker_clicked in self.marker_clicked_1d[name]:
+                        marker_clicked.setData([x], [y])
                     x_snapped_scaled, y_snapped_scaled = self.scale_emitted_coordinates(x, y)
                     coordinate_to_emit = (
                         name,
@@ -337,9 +387,12 @@ class Crosshair(QObject):
     def clear_markers(self):
         """Clears the markers from the plot."""
         for marker in self.marker_moved_1d.values():
-            marker.clear()
-        for marker in self.marker_clicked_1d.values():
-            marker.clear()
+            self.plot_item.removeItem(marker)
+        for markers in self.marker_clicked_1d.values():
+            for marker in markers:
+                self.plot_item.removeItem(marker)
+        self.marker_moved_1d.clear()
+        self.marker_clicked_1d.clear()
 
     def scale_emitted_coordinates(self, x, y):
         """Scales the emitted coordinates if the axes are in log scale.
@@ -366,7 +419,7 @@ class Crosshair(QObject):
         x, y = pos
         x_scaled, y_scaled = self.scale_emitted_coordinates(x, y)
 
-        # # Update coordinate label
+        # Update coordinate label
         self.coord_label.setText(f"({x_scaled:.{self.precision}g}, {y_scaled:.{self.precision}g})")
         self.coord_label.setPos(x, y)
         self.coord_label.setVisible(True)

bec_widgets/widgets/dock/dock_area.py

@@ -24,6 +24,7 @@ from bec_widgets.widgets.dark_mode_button.dark_mode_button import DarkModeButton
 from bec_widgets.widgets.dock.dock import BECDock, DockConfig
 from bec_widgets.widgets.image.image_widget import BECImageWidget
 from bec_widgets.widgets.motor_map.motor_map_widget import BECMotorMapWidget
+from bec_widgets.widgets.multi_waveform.multi_waveform_widget import BECMultiWaveformWidget
 from bec_widgets.widgets.positioner_box.positioner_box import PositionerBox
 from bec_widgets.widgets.ring_progress_bar.ring_progress_bar import RingProgressBar
 from bec_widgets.widgets.scan_control.scan_control import ScanControl
@@ -85,6 +86,11 @@ class BECDockArea(BECWidget, QWidget):
                             tooltip="Add Waveform",
                             filled=True,
                         ),
+                        "multi_waveform": MaterialIconAction(
+                            icon_name=BECMultiWaveformWidget.ICON_NAME,
+                            tooltip="Add Multi Waveform",
+                            filled=True,
+                        ),
                         "image": MaterialIconAction(
                             icon_name=BECImageWidget.ICON_NAME, tooltip="Add Image", filled=True
                         ),
@@ -154,6 +160,9 @@ class BECDockArea(BECWidget, QWidget):
         self.toolbar.widgets["menu_plots"].widgets["waveform"].triggered.connect(
             lambda: self.add_dock(widget="BECWaveformWidget", prefix="waveform")
         )
+        self.toolbar.widgets["menu_plots"].widgets["multi_waveform"].triggered.connect(
+            lambda: self.add_dock(widget="BECMultiWaveformWidget", prefix="multi_waveform")
+        )
         self.toolbar.widgets["menu_plots"].widgets["image"].triggered.connect(
             lambda: self.add_dock(widget="BECImageWidget", prefix="image")
         )

bec_widgets/widgets/figure/figure.py

@@ -11,6 +11,7 @@ from bec_lib.logger import bec_logger
 from pydantic import Field, ValidationError, field_validator
 from qtpy.QtCore import Signal as pyqtSignal
 from qtpy.QtWidgets import QWidget
+from tornado.gen import multi
 from typeguard import typechecked
 
 from bec_widgets.utils import ConnectionConfig, WidgetContainerUtils
@@ -18,6 +19,10 @@ from bec_widgets.utils.bec_widget import BECWidget
 from bec_widgets.utils.colors import apply_theme
 from bec_widgets.widgets.figure.plots.image.image import BECImageShow, ImageConfig
 from bec_widgets.widgets.figure.plots.motor_map.motor_map import BECMotorMap, MotorMapConfig
+from bec_widgets.widgets.figure.plots.multi_waveform.multi_waveform import (
+    BECMultiWaveform,
+    BECMultiWaveformConfig,
+)
 from bec_widgets.widgets.figure.plots.plot_base import BECPlotBase, SubplotConfig
 from bec_widgets.widgets.figure.plots.waveform.waveform import BECWaveform, Waveform1DConfig
 
@@ -64,6 +69,7 @@ class WidgetHandler:
             "BECWaveform": (BECWaveform, Waveform1DConfig),
             "BECImageShow": (BECImageShow, ImageConfig),
             "BECMotorMap": (BECMotorMap, MotorMapConfig),
+            "BECMultiWaveform": (BECMultiWaveform, BECMultiWaveformConfig),
         }
 
     def create_widget(
@@ -134,8 +140,14 @@ class BECFigure(BECWidget, pg.GraphicsLayoutWidget):
         "BECWaveform": BECWaveform,
         "BECImageShow": BECImageShow,
         "BECMotorMap": BECMotorMap,
+        "BECMultiWaveform": BECMultiWaveform,
+    }
+    widget_method_map = {
+        "BECWaveform": "plot",
+        "BECImageShow": "image",
+        "BECMotorMap": "motor_map",
+        "BECMultiWaveform": "multi_waveform",
     }
-    widget_method_map = {"BECWaveform": "plot", "BECImageShow": "image", "BECMotorMap": "motor_map"}
 
     clean_signal = pyqtSignal()
 
@@ -445,10 +457,27 @@ class BECFigure(BECWidget, pg.GraphicsLayoutWidget):
 
         return motor_map
 
+    def multi_waveform(
+        self,
+        monitor: str = None,
+        new: bool = False,
+        row: int | None = None,
+        col: int | None = None,
+        config: dict | None = None,
+        **axis_kwargs,
+    ):
+        multi_waveform = self.subplot_factory(
+            widget_type="BECMultiWaveform", config=config, row=row, col=col, new=new, **axis_kwargs
+        )
+        if config is not None:
+            return multi_waveform
+        multi_waveform.set_monitor(monitor)
+        return multi_waveform
+
     def subplot_factory(
         self,
         widget_type: Literal[
-            "BECPlotBase", "BECWaveform", "BECImageShow", "BECMotorMap"
+            "BECPlotBase", "BECWaveform", "BECImageShow", "BECMotorMap", "BECMultiWaveform"
         ] = "BECPlotBase",
         row: int = None,
         col: int = None,
@@ -500,7 +529,7 @@ class BECFigure(BECWidget, pg.GraphicsLayoutWidget):
     def add_widget(
         self,
         widget_type: Literal[
-            "BECPlotBase", "BECWaveform", "BECImageShow", "BECMotorMap"
+            "BECPlotBase", "BECWaveform", "BECImageShow", "BECMotorMap", "BECMultiWaveform"
         ] = "BECPlotBase",
         widget_id: str = None,
         row: int = None,

bec_widgets/widgets/figure/plots/multi_waveform/multi_waveform.py

@@ -0,0 +1,353 @@
+from collections import deque
+from typing import Literal, Optional
+
+import pyqtgraph as pg
+from bec_lib.endpoints import MessageEndpoints
+from bec_lib.logger import bec_logger
+from pydantic import Field, field_validator
+from pyqtgraph.exporters import MatplotlibExporter
+from qtpy.QtCore import Signal, Slot
+from qtpy.QtWidgets import QWidget
+
+from bec_widgets.utils import Colors
+from bec_widgets.widgets.figure.plots.plot_base import BECPlotBase, SubplotConfig
+
+logger = bec_logger.logger
+
+
+class BECMultiWaveformConfig(SubplotConfig):
+    color_palette: Optional[str] = Field(
+        "magma", description="The color palette of the figure widget.", validate_default=True
+    )
+    curve_limit: Optional[int] = Field(
+        200, description="The maximum number of curves to display on the plot."
+    )
+    flush_buffer: Optional[bool] = Field(
+        False, description="Flush the buffer of the plot widget when the curve limit is reached."
+    )
+    monitor: Optional[str] = Field(
+        None, description="The monitor to set for the plot widget."
+    )  # TODO validate monitor in bec -> maybe make it as SignalData class for validation purpose
+    curve_width: Optional[int] = Field(1, description="The width of the curve on the plot.")
+    opacity: Optional[int] = Field(50, description="The opacity of the curve on the plot.")
+    highlight_last_curve: Optional[bool] = Field(
+        True, description="Highlight the last curve on the plot."
+    )
+
+    model_config: dict = {"validate_assignment": True}
+    _validate_color_map_z = field_validator("color_palette")(Colors.validate_color_map)
+
+
+class BECMultiWaveform(BECPlotBase):
+    monitor_signal_updated = Signal()
+    highlighted_curve_index_changed = Signal(int)
+    USER_ACCESS = [
+        "_rpc_id",
+        "_config_dict",
+        "curves",
+        "set_monitor",
+        "set_opacity",
+        "set_curve_limit",
+        "set_curve_highlight",
+        "set_colormap",
+        "set",
+        "set_title",
+        "set_x_label",
+        "set_y_label",
+        "set_x_scale",
+        "set_y_scale",
+        "set_x_lim",
+        "set_y_lim",
+        "set_grid",
+        "set_colormap",
+        "enable_fps_monitor",
+        "lock_aspect_ratio",
+        "export",
+        "get_all_data",
+        "remove",
+    ]
+
+    def __init__(
+        self,
+        parent: Optional[QWidget] = None,
+        parent_figure=None,
+        config: Optional[BECMultiWaveformConfig] = None,
+        client=None,
+        gui_id: Optional[str] = None,
+    ):
+        if config is None:
+            config = BECMultiWaveformConfig(widget_class=self.__class__.__name__)
+        super().__init__(
+            parent=parent, parent_figure=parent_figure, config=config, client=client, gui_id=gui_id
+        )
+        self.old_scan_id = None
+        self.scan_id = None
+        self.monitor = None
+        self.connected = False
+        self.current_highlight_index = 0
+        self._curves = deque()
+        self.visible_curves = []
+        self.number_of_visible_curves = 0
+
+        # Get bec shortcuts dev, scans, queue, scan_storage, dap
+        self.get_bec_shortcuts()
+
+    @property
+    def curves(self) -> deque:
+        """
+        Get the curves of the plot widget as a deque.
+        Returns:
+            deque: Deque of curves.
+        """
+        return self._curves
+
+    @curves.setter
+    def curves(self, value: deque):
+        self._curves = value
+
+    @property
+    def highlight_last_curve(self) -> bool:
+        """
+        Get the highlight_last_curve property.
+        Returns:
+            bool: The highlight_last_curve property.
+        """
+        return self.config.highlight_last_curve
+
+    @highlight_last_curve.setter
+    def highlight_last_curve(self, value: bool):
+        self.config.highlight_last_curve = value
+
+    def set_monitor(self, monitor: str):
+        """
+        Set the monitor for the plot widget.
+        Args:
+            monitor (str): The monitor to set.
+        """
+        self.config.monitor = monitor
+        self._connect_monitor()
+
+    def _connect_monitor(self):
+        """
+        Connect the monitor to the plot widget.
+        """
+        try:
+            previous_monitor = self.monitor
+        except AttributeError:
+            previous_monitor = None
+
+        if previous_monitor and self.connected is True:
+            self.bec_dispatcher.disconnect_slot(
+                self.on_monitor_1d_update, MessageEndpoints.device_monitor_1d(previous_monitor)
+            )
+        if self.config.monitor and self.connected is False:
+            self.bec_dispatcher.connect_slot(
+                self.on_monitor_1d_update, MessageEndpoints.device_monitor_1d(self.config.monitor)
+            )
+            self.connected = True
+            self.monitor = self.config.monitor
+
+    @Slot(dict, dict)
+    def on_monitor_1d_update(self, msg: dict, metadata: dict):
+        """
+        Update the plot widget with the monitor data.
+
+        Args:
+            msg(dict): The message data.
+            metadata(dict): The metadata of the message.
+        """
+        data = msg.get("data", None)
+        current_scan_id = metadata.get("scan_id", None)
+
+        if current_scan_id != self.scan_id:
+            self.scan_id = current_scan_id
+            self.clear_curves()
+            self.curves.clear()
+            if self.crosshair:
+                self.crosshair.clear_markers()
+
+        # Always create a new curve and add it
+        curve = pg.PlotDataItem()
+        curve.setData(data)
+        self.plot_item.addItem(curve)
+        self.curves.append(curve)
+
+        # Max Trace and scale colors
+        self.set_curve_limit(self.config.curve_limit, self.config.flush_buffer)
+
+        self.monitor_signal_updated.emit()
+
+    @Slot(int)
+    def set_curve_highlight(self, index: int):
+        """
+        Set the curve highlight based on visible curves.
+
+        Args:
+            index (int): The index of the curve to highlight among visible curves.
+        """
+        self.plot_item.visible_curves = [curve for curve in self.curves if curve.isVisible()]
+        num_visible_curves = len(self.plot_item.visible_curves)
+        self.number_of_visible_curves = num_visible_curves
+
+        if num_visible_curves == 0:
+            return  # No curves to highlight
+
+        if index >= num_visible_curves:
+            index = num_visible_curves - 1
+        elif index < 0:
+            index = num_visible_curves + index
+        self.current_highlight_index = index
+        num_colors = num_visible_curves
+        colors = Colors.evenly_spaced_colors(
+            colormap=self.config.color_palette, num=num_colors, format="HEX"
+        )
+        for i, curve in enumerate(self.plot_item.visible_curves):
+            curve.setPen()
+            if i == self.current_highlight_index:
+                curve.setPen(pg.mkPen(color=colors[i], width=5))
+                curve.setAlpha(alpha=1, auto=False)
+                curve.setZValue(1)
+            else:
+                curve.setPen(pg.mkPen(color=colors[i], width=1))
+                curve.setAlpha(alpha=self.config.opacity / 100, auto=False)
+                curve.setZValue(0)
+
+        self.highlighted_curve_index_changed.emit(self.current_highlight_index)
+
+    @Slot(int)
+    def set_opacity(self, opacity: int):
+        """
+        Set the opacity of the curve on the plot.
+
+        Args:
+            opacity(int): The opacity of the curve. 0-100.
+        """
+        self.config.opacity = max(0, min(100, opacity))
+        self.set_curve_highlight(self.current_highlight_index)
+
+    @Slot(int, bool)
+    def set_curve_limit(self, max_trace: int, flush_buffer: bool = False):
+        """
+        Set the maximum number of traces to display on the plot.
+
+        Args:
+            max_trace (int): The maximum number of traces to display.
+            flush_buffer (bool): Flush the buffer.
+        """
+        self.config.curve_limit = max_trace
+        self.config.flush_buffer = flush_buffer
+
+        if self.config.curve_limit is None:
+            self.scale_colors()
+            return
+
+        if self.config.flush_buffer:
+            # Remove excess curves from the plot and the deque
+            while len(self.curves) > self.config.curve_limit:
+                curve = self.curves.popleft()
+                self.plot_item.removeItem(curve)
+        else:
+            # Hide or show curves based on the new max_trace
+            num_curves_to_show = min(self.config.curve_limit, len(self.curves))
+            for i, curve in enumerate(self.curves):
+                if i < len(self.curves) - num_curves_to_show:
+                    curve.hide()
+                else:
+                    curve.show()
+        self.scale_colors()
+
+    def scale_colors(self):
+        """
+        Scale the colors of the curves based on the current colormap.
+        """
+        if self.config.highlight_last_curve:
+            self.set_curve_highlight(-1)  # Use -1 to highlight the last visible curve
+        else:
+            self.set_curve_highlight(self.current_highlight_index)
+
+    def set_colormap(self, colormap: str):
+        """
+        Set the colormap for the curves.
+
+        Args:
+            colormap(str): Colormap for the curves.
+        """
+        self.config.color_palette = colormap
+        self.set_curve_highlight(self.current_highlight_index)
+
+    def hook_crosshair(self) -> None:
+        super().hook_crosshair()
+        if self.crosshair:
+            self.highlighted_curve_index_changed.connect(self.crosshair.update_highlighted_curve)
+            if self.curves:
+                self.crosshair.update_highlighted_curve(self.current_highlight_index)
+
+    def get_all_data(self, output: Literal["dict", "pandas"] = "dict") -> dict:
+        """
+        Extract all curve data into a dictionary or a pandas DataFrame.
+
+        Args:
+            output (Literal["dict", "pandas"]): Format of the output data.
+
+        Returns:
+            dict | pd.DataFrame: Data of all curves in the specified format.
+        """
+        data = {}
+        try:
+            import pandas as pd
+        except ImportError:
+            pd = None
+            if output == "pandas":
+                logger.warning(
+                    "Pandas is not installed. "
+                    "Please install pandas using 'pip install pandas'."
+                    "Output will be dictionary instead."
+                )
+                output = "dict"
+
+        curve_keys = []
+        curves_list = list(self.curves)
+        for i, curve in enumerate(curves_list):
+            x_data, y_data = curve.getData()
+            if x_data is not None or y_data is not None:
+                key = f"curve_{i}"
+                curve_keys.append(key)
+                if output == "dict":
+                    data[key] = {"x": x_data.tolist(), "y": y_data.tolist()}
+                elif output == "pandas" and pd is not None:
+                    data[key] = pd.DataFrame({"x": x_data, "y": y_data})
+
+        if output == "pandas" and pd is not None:
+            combined_data = pd.concat([data[key] for key in curve_keys], axis=1, keys=curve_keys)
+            return combined_data
+        return data
+
+    def clear_curves(self):
+        """
+        Remove all curves from the plot, excluding crosshair items.
+        """
+        items_to_remove = []
+        for item in self.plot_item.items:
+            if not getattr(item, "is_crosshair", False) and isinstance(item, pg.PlotDataItem):
+                items_to_remove.append(item)
+        for item in items_to_remove:
+            self.plot_item.removeItem(item)
+
+    def export_to_matplotlib(self):
+        """
+        Export current waveform to matplotlib GUI. Available only if matplotlib is installed in the environment.
+        """
+        MatplotlibExporter(self.plot_item).export()
+
+
+if __name__ == "__main__":
+    import sys
+
+    from qtpy.QtWidgets import QApplication
+
+    from bec_widgets.widgets.figure import BECFigure
+
+    app = QApplication(sys.argv)
+    widget = BECFigure()
+    widget.show()
+    sys.exit(app.exec_())

bec_widgets/widgets/multi_waveform/bec_multi_waveform_widget.pyproject

@@ -0,0 +1 @@
+{'files': ['multi_waveform_widget.py','multi-waveform_controls.ui']}

bec_widgets/widgets/multi_waveform/bec_multi_waveform_widget_plugin.py

@@ -0,0 +1,54 @@
+# Copyright (C) 2022 The Qt Company Ltd.
+# SPDX-License-Identifier: LicenseRef-Qt-Commercial OR BSD-3-Clause
+
+from qtpy.QtDesigner import QDesignerCustomWidgetInterface
+
+from bec_widgets.utils.bec_designer import designer_material_icon
+from bec_widgets.widgets.multi_waveform.multi_waveform_widget import BECMultiWaveformWidget
+
+DOM_XML = """
+<ui language='c++'>
+    <widget class='BECMultiWaveformWidget' name='bec_multi_waveform_widget'>
+    </widget>
+</ui>
+"""
+
+
+class BECMultiWaveformWidgetPlugin(QDesignerCustomWidgetInterface):  # pragma: no cover
+    def __init__(self):
+        super().__init__()
+        self._form_editor = None
+
+    def createWidget(self, parent):
+        t = BECMultiWaveformWidget(parent)
+        return t
+
+    def domXml(self):
+        return DOM_XML
+
+    def group(self):
+        return "BEC Plots"
+
+    def icon(self):
+        return designer_material_icon(BECMultiWaveformWidget.ICON_NAME)
+
+    def includeFile(self):
+        return "bec_multi_waveform_widget"
+
+    def initialize(self, form_editor):
+        self._form_editor = form_editor
+
+    def isContainer(self):
+        return False
+
+    def isInitialized(self):
+        return self._form_editor is not None
+
+    def name(self):
+        return "BECMultiWaveformWidget"
+
+    def toolTip(self):
+        return "BECMultiWaveformWidget"
+
+    def whatsThis(self):
+        return self.toolTip()

bec_widgets/widgets/multi_waveform/multi_waveform_controls.ui

@@ -0,0 +1,99 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<ui version="4.0">
+ <class>Form</class>
+ <widget class="QWidget" name="Form">
+  <property name="geometry">
+   <rect>
+    <x>0</x>
+    <y>0</y>
+    <width>561</width>
+    <height>86</height>
+   </rect>
+  </property>
+  <property name="windowTitle">
+   <string>Form</string>
+  </property>
+  <layout class="QGridLayout" name="gridLayout">
+   <item row="0" column="0">
+    <widget class="QLabel" name="label_curve_index">
+     <property name="text">
+      <string>Curve Index</string>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="1">
+    <widget class="QSlider" name="slider_index">
+     <property name="orientation">
+      <enum>Qt::Orientation::Horizontal</enum>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="2">
+    <widget class="QSpinBox" name="spinbox_index"/>
+   </item>
+   <item row="0" column="3" colspan="3">
+    <widget class="QCheckBox" name="checkbox_highlight">
+     <property name="text">
+      <string>Highlight always last curve</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="0">
+    <widget class="QLabel" name="label_opacity">
+     <property name="text">
+      <string>Opacity</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="1">
+    <widget class="QSlider" name="slider_opacity">
+     <property name="maximum">
+      <number>100</number>
+     </property>
+     <property name="orientation">
+      <enum>Qt::Orientation::Horizontal</enum>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="3">
+    <widget class="QLabel" name="label_max_trace">
+     <property name="text">
+      <string>Max Trace</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="4">
+    <widget class="QSpinBox" name="spinbox_max_trace">
+     <property name="toolTip">
+      <string>How many curves should be displayed</string>
+     </property>
+     <property name="maximum">
+      <number>500</number>
+     </property>
+     <property name="value">
+      <number>200</number>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="5">
+    <widget class="QCheckBox" name="checkbox_flush_buffer">
+     <property name="toolTip">
+      <string>If hiddne curves should be deleted.</string>
+     </property>
+     <property name="text">
+      <string>Flush Buffer</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="2">
+    <widget class="QSpinBox" name="spinbox_opacity">
+     <property name="maximum">
+      <number>100</number>
+     </property>
+    </widget>
+   </item>
+  </layout>
+ </widget>
+ <resources/>
+ <connections/>
+</ui>

bec_widgets/widgets/multi_waveform/multi_waveform_widget.py

@@ -0,0 +1,533 @@
+import os
+from typing import Literal
+
+import pyqtgraph as pg
+from bec_lib.device import ReadoutPriority
+from bec_lib.logger import bec_logger
+from qtpy.QtCore import Slot
+from qtpy.QtWidgets import QVBoxLayout, QWidget
+
+from bec_widgets.qt_utils.error_popups import SafeSlot
+from bec_widgets.qt_utils.settings_dialog import SettingsDialog
+from bec_widgets.qt_utils.toolbar import (
+    DeviceSelectionAction,
+    MaterialIconAction,
+    ModularToolBar,
+    SeparatorAction,
+    WidgetAction,
+)
+from bec_widgets.utils import UILoader
+from bec_widgets.utils.bec_widget import BECWidget
+from bec_widgets.widgets.base_classes.device_input_base import BECDeviceFilter
+from bec_widgets.widgets.colormap_widget.colormap_widget import BECColorMapWidget
+from bec_widgets.widgets.device_combobox.device_combobox import DeviceComboBox
+from bec_widgets.widgets.figure import BECFigure
+from bec_widgets.widgets.figure.plots.axis_settings import AxisSettings
+from bec_widgets.widgets.figure.plots.multi_waveform.multi_waveform import BECMultiWaveformConfig
+
+logger = bec_logger.logger
+
+
+class BECMultiWaveformWidget(BECWidget, QWidget):
+    ICON_NAME = "ssid_chart"
+    USER_ACCESS = [
+        "curves",
+        "set_monitor",
+        "set_curve_highlight",
+        "set_opacity",
+        "set_curve_limit",
+        "set_buffer_flush",
+        "set_highlight_last_curve",
+        "set_colormap",
+        "set",
+        "set_title",
+        "set_x_label",
+        "set_y_label",
+        "set_x_scale",
+        "set_y_scale",
+        "set_x_lim",
+        "set_y_lim",
+        "set_grid",
+        "set_colormap",
+        "enable_fps_monitor",
+        "lock_aspect_ratio",
+        "get_all_data",
+        "export",
+    ]
+
+    def __init__(
+        self,
+        parent: QWidget | None = None,
+        config: BECMultiWaveformConfig | dict = None,
+        client=None,
+        gui_id: str | None = None,
+    ) -> None:
+        if config is None:
+            config = BECMultiWaveformConfig(widget_class=self.__class__.__name__)
+        else:
+            if isinstance(config, dict):
+                config = BECMultiWaveformConfig(**config)
+        super().__init__(client=client, gui_id=gui_id)
+        QWidget.__init__(self, parent)
+
+        self.layout = QVBoxLayout(self)
+        self.layout.setSpacing(0)
+        self.layout.setContentsMargins(0, 0, 0, 0)
+
+        self.fig = BECFigure()
+        self.colormap_button = BECColorMapWidget(cmap="magma")
+        self.toolbar = ModularToolBar(
+            actions={
+                "monitor": DeviceSelectionAction(
+                    "",
+                    DeviceComboBox(
+                        device_filter=BECDeviceFilter.DEVICE,
+                        readout_priority_filter=ReadoutPriority.ASYNC,
+                    ),
+                ),
+                "connect": MaterialIconAction(icon_name="link", tooltip="Connect Device"),
+                "separator_0": SeparatorAction(),
+                "colormap": WidgetAction(widget=self.colormap_button),
+                "separator_1": SeparatorAction(),
+                "save": MaterialIconAction(icon_name="save", tooltip="Open Export Dialog"),
+                "matplotlib": MaterialIconAction(
+                    icon_name="photo_library", tooltip="Open Matplotlib Plot"
+                ),
+                "separator_2": SeparatorAction(),
+                "drag_mode": MaterialIconAction(
+                    icon_name="drag_pan", tooltip="Drag Mouse Mode", checkable=True
+                ),
+                "rectangle_mode": MaterialIconAction(
+                    icon_name="frame_inspect", tooltip="Rectangle Zoom Mode", checkable=True
+                ),
+                "auto_range": MaterialIconAction(
+                    icon_name="open_in_full", tooltip="Autorange Plot"
+                ),
+                "crosshair": MaterialIconAction(
+                    icon_name="point_scan", tooltip="Show Crosshair", checkable=True
+                ),
+                "separator_3": SeparatorAction(),
+                "fps_monitor": MaterialIconAction(
+                    icon_name="speed", tooltip="Show FPS Monitor", checkable=True
+                ),
+                "axis_settings": MaterialIconAction(
+                    icon_name="settings", tooltip="Open Configuration Dialog"
+                ),
+            },
+            target_widget=self,
+        )
+
+        self.layout.addWidget(self.toolbar)
+        self.layout.addWidget(self.fig)
+
+        self.waveform = self.fig.multi_waveform()  # FIXME config should be injected here
+        self.config = config
+
+        self.create_multi_waveform_controls()
+
+        self._hook_actions()
+        self.waveform.monitor_signal_updated.connect(self.update_controls_limits)
+
+    def create_multi_waveform_controls(self):
+        """
+        Create the controls for the multi waveform widget.
+        """
+        current_path = os.path.dirname(__file__)
+        self.controls = UILoader(self).loader(
+            os.path.join(current_path, "multi_waveform_controls.ui")
+        )
+        self.layout.addWidget(self.controls)
+
+        # Hook default controls properties
+        self.controls.checkbox_highlight.setChecked(self.config.highlight_last_curve)
+        self.controls.spinbox_opacity.setValue(self.config.opacity)
+        self.controls.slider_opacity.setValue(self.config.opacity)
+        self.controls.spinbox_max_trace.setValue(self.config.curve_limit)
+        self.controls.checkbox_flush_buffer.setChecked(self.config.flush_buffer)
+
+        # Connect signals
+        self.controls.spinbox_max_trace.valueChanged.connect(self.set_curve_limit)
+        self.controls.checkbox_flush_buffer.toggled.connect(self.set_buffer_flush)
+        self.controls.slider_opacity.valueChanged.connect(self.controls.spinbox_opacity.setValue)
+        self.controls.spinbox_opacity.valueChanged.connect(self.controls.slider_opacity.setValue)
+        self.controls.slider_opacity.valueChanged.connect(self.set_opacity)
+        self.controls.spinbox_opacity.valueChanged.connect(self.set_opacity)
+        self.controls.slider_index.valueChanged.connect(self.controls.spinbox_index.setValue)
+        self.controls.spinbox_index.valueChanged.connect(self.controls.slider_index.setValue)
+        self.controls.slider_index.valueChanged.connect(self.set_curve_highlight)
+        self.controls.spinbox_index.valueChanged.connect(self.set_curve_highlight)
+        self.controls.checkbox_highlight.toggled.connect(self.set_highlight_last_curve)
+
+        # Trigger first round of settings
+        self.set_curve_limit(self.config.curve_limit)
+        self.set_opacity(self.config.opacity)
+        self.set_highlight_last_curve(self.config.highlight_last_curve)
+
+    @Slot()
+    def update_controls_limits(self):
+        """
+        Update the limits of the controls.
+        """
+        num_curves = len(self.waveform.curves)
+        if num_curves == 0:
+            num_curves = 1  # Avoid setting max to 0
+        current_index = num_curves - 1
+        self.controls.slider_index.setMinimum(0)
+        self.controls.slider_index.setMaximum(self.waveform.number_of_visible_curves - 1)
+        self.controls.spinbox_index.setMaximum(self.waveform.number_of_visible_curves - 1)
+        if self.controls.checkbox_highlight.isChecked():
+            self.controls.slider_index.setValue(current_index)
+            self.controls.spinbox_index.setValue(current_index)
+
+    def _hook_actions(self):
+        self.toolbar.widgets["connect"].action.triggered.connect(self._connect_action)
+        # Separator 0
+        self.toolbar.widgets["save"].action.triggered.connect(self.export)
+        self.toolbar.widgets["matplotlib"].action.triggered.connect(self.export_to_matplotlib)
+        self.toolbar.widgets["colormap"].widget.colormap_changed_signal.connect(self.set_colormap)
+        # Separator 1
+        self.toolbar.widgets["drag_mode"].action.triggered.connect(self.enable_mouse_pan_mode)
+        self.toolbar.widgets["rectangle_mode"].action.triggered.connect(
+            self.enable_mouse_rectangle_mode
+        )
+        self.toolbar.widgets["auto_range"].action.triggered.connect(self._auto_range_from_toolbar)
+        self.toolbar.widgets["crosshair"].action.triggered.connect(self.waveform.toggle_crosshair)
+        # Separator 2
+        self.toolbar.widgets["fps_monitor"].action.triggered.connect(self.enable_fps_monitor)
+        self.toolbar.widgets["axis_settings"].action.triggered.connect(self.show_axis_settings)
+
+    ###################################
+    # Dialog Windows
+    ###################################
+    @SafeSlot(popup_error=True)
+    def _connect_action(self):
+        monitor_combo = self.toolbar.widgets["monitor"].device_combobox
+        monitor_name = monitor_combo.currentText()
+        self.set_monitor(monitor=monitor_name)
+        monitor_combo.setStyleSheet("QComboBox { background-color: " "; }")
+
+    def show_axis_settings(self):
+        dialog = SettingsDialog(
+            self,
+            settings_widget=AxisSettings(),
+            window_title="Axis Settings",
+            config=self.waveform._config_dict["axis"],
+        )
+        dialog.exec()
+
+    ########################################
+    # User Access Methods from MultiWaveform
+    ########################################
+    @property
+    def curves(self) -> list[pg.PlotDataItem]:
+        """
+        Get the curves of the plot widget as a list
+        Returns:
+            list: List of curves.
+        """
+        return list(self.waveform.curves)
+
+    @curves.setter
+    def curves(self, value: list[pg.PlotDataItem]):
+        self.waveform.curves = value
+
+    @SafeSlot(popup_error=True)
+    def set_monitor(self, monitor: str) -> None:
+        """
+        Set the monitor of the plot widget.
+
+        Args:
+            monitor(str): The monitor to set.
+        """
+        self.waveform.set_monitor(monitor)
+        if self.toolbar.widgets["monitor"].device_combobox.currentText() != monitor:
+            self.toolbar.widgets["monitor"].device_combobox.setCurrentText(monitor)
+            self.toolbar.widgets["monitor"].device_combobox.setStyleSheet(
+                "QComboBox { background-color: " "; }"
+            )
+
+    @SafeSlot(int)
+    def set_curve_highlight(self, index: int) -> None:
+        """
+        Set the curve highlight of the plot widget by index
+
+        Args:
+            index(int): The index of the curve to highlight.
+        """
+        if self.controls.checkbox_highlight.isChecked():
+            # If always highlighting the last curve, set index to -1
+            self.waveform.set_curve_highlight(-1)
+        else:
+            self.waveform.set_curve_highlight(index)
+
+    @SafeSlot(int)
+    def set_opacity(self, opacity: int) -> None:
+        """
+        Set the opacity of the plot widget.
+
+        Args:
+            opacity(int): The opacity to set.
+        """
+        self.waveform.set_opacity(opacity)
+
+    @SafeSlot(int)
+    def set_curve_limit(self, curve_limit: int) -> None:
+        """
+        Set the maximum number of traces to display on the plot widget.
+
+        Args:
+            curve_limit(int): The maximum number of traces to display.
+        """
+        flush_buffer = self.controls.checkbox_flush_buffer.isChecked()
+        self.waveform.set_curve_limit(curve_limit, flush_buffer)
+        self.update_controls_limits()
+
+    @SafeSlot(bool)
+    def set_buffer_flush(self, flush_buffer: bool) -> None:
+        """
+        Set the buffer flush property of the plot widget.
+
+        Args:
+            flush_buffer(bool): True to flush the buffer, False to not flush the buffer.
+        """
+        curve_limit = self.controls.spinbox_max_trace.value()
+        self.waveform.set_curve_limit(curve_limit, flush_buffer)
+        self.update_controls_limits()
+
+    @SafeSlot(bool)
+    def set_highlight_last_curve(self, enable: bool) -> None:
+        """
+        Enable or disable highlighting of the last curve.
+
+        Args:
+            enable(bool): True to enable highlighting of the last curve, False to disable.
+        """
+        self.waveform.config.highlight_last_curve = enable
+        if enable:
+            self.controls.slider_index.setEnabled(False)
+            self.controls.spinbox_index.setEnabled(False)
+            self.controls.checkbox_highlight.setChecked(True)
+            self.waveform.set_curve_highlight(-1)
+        else:
+            self.controls.slider_index.setEnabled(True)
+            self.controls.spinbox_index.setEnabled(True)
+            self.controls.checkbox_highlight.setChecked(False)
+            index = self.controls.spinbox_index.value()
+            self.waveform.set_curve_highlight(index)
+
+    @SafeSlot()
+    def set_colormap(self, colormap: str) -> None:
+        """
+        Set the colormap of the plot widget.
+
+        Args:
+            colormap(str): The colormap to set.
+        """
+        self.waveform.set_colormap(colormap)
+
+    ###################################
+    # User Access Methods from PlotBase
+    ###################################
+    def set(self, **kwargs):
+        """
+        Set the properties of the plot widget.
+
+        Args:
+            **kwargs: Keyword arguments for the properties to be set.
+
+        Possible properties:
+            - title: str
+            - x_label: str
+            - y_label: str
+            - x_scale: Literal["linear", "log"]
+            - y_scale: Literal["linear", "log"]
+            - x_lim: tuple
+            - y_lim: tuple
+            - legend_label_size: int
+        """
+        self.waveform.set(**kwargs)
+
+    def set_title(self, title: str):
+        """
+        Set the title of the plot widget.
+
+        Args:
+            title(str): The title to set.
+        """
+        self.waveform.set_title(title)
+
+    def set_x_label(self, x_label: str):
+        """
+        Set the x-axis label of the plot widget.
+
+        Args:
+            x_label(str): The x-axis label to set.
+        """
+        self.waveform.set_x_label(x_label)
+
+    def set_y_label(self, y_label: str):
+        """
+        Set the y-axis label of the plot widget.
+
+        Args:
+            y_label(str): The y-axis label to set.
+        """
+        self.waveform.set_y_label(y_label)
+
+    def set_x_scale(self, x_scale: Literal["linear", "log"]):
+        """
+        Set the x-axis scale of the plot widget.
+
+        Args:
+            x_scale(str): The x-axis scale to set.
+        """
+        self.waveform.set_x_scale(x_scale)
+
+    def set_y_scale(self, y_scale: Literal["linear", "log"]):
+        """
+        Set the y-axis scale of the plot widget.
+
+        Args:
+            y_scale(str): The y-axis scale to set.
+        """
+        self.waveform.set_y_scale(y_scale)
+
+    def set_x_lim(self, x_lim: tuple):
+        """
+        Set x-axis limits of the plot widget.
+
+        Args:
+            x_lim(tuple): The x-axis limits to set.
+        """
+        self.waveform.set_x_lim(x_lim)
+
+    def set_y_lim(self, y_lim: tuple):
+        """
+        Set y-axis limits of the plot widget.
+
+        Args:
+            y_lim(tuple): The y-axis limits to set.
+        """
+        self.waveform.set_y_lim(y_lim)
+
+    def set_legend_label_size(self, legend_label_size: int):
+        """
+        Set the legend label size of the plot widget.
+
+        Args:
+            legend_label_size(int): The legend label size to set.
+        """
+        self.waveform.set_legend_label_size(legend_label_size)
+
+    def set_auto_range(self, enabled: bool, axis: str = "xy"):
+        """
+        Set the auto range of the plot widget.
+
+        Args:
+            enabled(bool): True to enable auto range, False to disable.
+            axis(str): The axis to set the auto range for. Default is "xy".
+        """
+        self.waveform.set_auto_range(enabled, axis)
+
+    def enable_fps_monitor(self, enabled: bool):
+        """
+        Enable or disable the FPS monitor
+
+        Args:
+            enabled(bool): True to enable the FPS monitor, False to disable.
+        """
+        self.waveform.enable_fps_monitor(enabled)
+        if self.toolbar.widgets["fps_monitor"].action.isChecked() != enabled:
+            self.toolbar.widgets["fps_monitor"].action.setChecked(enabled)
+
+    @SafeSlot()
+    def _auto_range_from_toolbar(self):
+        """
+        Set the auto range of the plot widget from the toolbar.
+        """
+        self.waveform.set_auto_range(True, "xy")
+
+    def set_grid(self, x_grid: bool, y_grid: bool):
+        """
+        Set the grid of the plot widget.
+
+        Args:
+            x_grid(bool): True to enable the x-grid, False to disable.
+            y_grid(bool): True to enable the y-grid, False to disable.
+        """
+        self.waveform.set_grid(x_grid, y_grid)
+
+    def set_outer_axes(self, show: bool):
+        """
+        Set the outer axes of the plot widget.
+
+        Args:
+            show(bool): True to show the outer axes, False to hide.
+        """
+        self.waveform.set_outer_axes(show)
+
+    def lock_aspect_ratio(self, lock: bool):
+        """
+        Lock the aspect ratio of the plot widget.
+
+        Args:
+            lock(bool): True to lock the aspect ratio, False to unlock.
+        """
+        self.waveform.lock_aspect_ratio(lock)
+
+    @SafeSlot()
+    def enable_mouse_rectangle_mode(self):
+        """
+        Enable the mouse rectangle mode of the plot widget.
+        """
+        self.toolbar.widgets["rectangle_mode"].action.setChecked(True)
+        self.toolbar.widgets["drag_mode"].action.setChecked(False)
+        self.waveform.plot_item.getViewBox().setMouseMode(pg.ViewBox.RectMode)
+
+    @SafeSlot()
+    def enable_mouse_pan_mode(self):
+        """
+        Enable the mouse pan mode of the plot widget.
+        """
+        self.toolbar.widgets["drag_mode"].action.setChecked(True)
+        self.toolbar.widgets["rectangle_mode"].action.setChecked(False)
+        self.waveform.plot_item.getViewBox().setMouseMode(pg.ViewBox.PanMode)
+
+    def export(self):
+        """
+        Export the plot widget.
+        """
+        self.waveform.export()
+
+    def export_to_matplotlib(self):
+        """
+        Export the plot widget to matplotlib.
+        """
+        try:
+            import matplotlib as mpl
+        except ImportError:
+            self.warning_util.show_warning(
+                title="Matplotlib not installed",
+                message="Matplotlib is required for this feature.",
+                detailed_text="Please install matplotlib in your Python environment by using 'pip install matplotlib'.",
+            )
+            return
+        self.waveform.export_to_matplotlib()
+
+    #######################################
+    # User Access Methods from BECConnector
+    ######################################
+    def cleanup(self):
+        self.fig.cleanup()
+        return super().cleanup()
+
+
+if __name__ == "__main__":  # pragma: no cover
+    import sys
+
+    from qtpy.QtWidgets import QApplication
+
+    app = QApplication(sys.argv)
+    widget = BECMultiWaveformWidget()
+    widget.show()
+    sys.exit(app.exec())

bec_widgets/widgets/multi_waveform/register_bec_multi_waveform_widget.py

@@ -0,0 +1,17 @@
+def main():  # pragma: no cover
+    from qtpy import PYSIDE6
+
+    if not PYSIDE6:
+        print("PYSIDE6 is not available in the environment. Cannot patch designer.")
+        return
+    from PySide6.QtDesigner import QPyDesignerCustomWidgetCollection
+
+    from bec_widgets.widgets.multi_waveform.bec_multi_waveform_widget_plugin import (
+        BECMultiWaveformWidgetPlugin,
+    )
+
+    QPyDesignerCustomWidgetCollection.addCustomWidget(BECMultiWaveformWidgetPlugin())
+
+
+if __name__ == "__main__":  # pragma: no cover
+    main()

bec_widgets/widgets/positioner_box/positioner_box.py

@@ -240,11 +240,18 @@ class PositionerBox(BECWidget, CompactPopupWidget):
             signal = hinted_signals[0]
             readback_val = signals.get(signal, {}).get("value")
 
-        if f"{self.device}_setpoint" in signals:
-            setpoint_val = signals.get(f"{self.device}_setpoint", {}).get("value")
+        for setpoint_signal in ["setpoint", "user_setpoint"]:
+            setpoint_val = signals.get(f"{self.device}_{setpoint_signal}", {}).get("value")
+            if setpoint_val is not None:
+                break
 
-        if f"{self.device}_motor_is_moving" in signals:
-            is_moving = signals.get(f"{self.device}_motor_is_moving", {}).get("value")
+        for moving_signal in ["motor_done_move", "motor_is_moving"]:
+            is_moving = signals.get(f"{self.device}_{moving_signal}", {}).get("value")
+            if is_moving is not None:
+                break
+
+        if is_moving is not None:
+            self.ui.spinner_widget.setVisible(True)
             if is_moving:
                 self.ui.spinner_widget.start()
                 self.ui.spinner_widget.setToolTip("Device is moving")
@@ -253,6 +260,8 @@ class PositionerBox(BECWidget, CompactPopupWidget):
                 self.ui.spinner_widget.stop()
                 self.ui.spinner_widget.setToolTip("Device is idle")
                 self.set_global_state("success")
+        else:
+            self.ui.spinner_widget.setVisible(False)
 
         if readback_val is not None:
             self.ui.readback.setText(f"{readback_val:.{precision}f}")

docs/user/widgets/multi_waveform/multi_waveform.md

@@ -0,0 +1,111 @@
+(user.widgets.multi_waveform_widget)=
+
+# Multi Waveform Widget
+
+````{tab} Overview
+The Multi Waveform Widget is designed to display multiple 1D detector signals over time. It is ideal for visualizing real-time streaming data from a monitor in the BEC framework, where each new data set is added as a new curve on the plot. This allows users to observe historical changes and trends in the signal.
+
+## Key Features:
+- **Real-Time Data Visualization**: Display multiple 1D signals from a monitor in real-time, with each new data set represented as a new curve.
+- **Curve Management**: Control the number of curves displayed, set limits on the number of curves, and manage the buffer with options to flush old data.
+- **Interactive Controls**: Highlight specific curves, adjust opacity, and interact with the plot using zoom and pan tools.
+- **Customizable Appearance**: Customize the colormap, curve opacity, and highlight settings to enhance data visualization.
+- **Data Export**: Export the displayed data for further analysis, including exporting to Matplotlib for advanced plotting.
+- **Flexible Integration**: Can be integrated into both [`BECFigure`](user.widgets.bec_figure) and [`BECDockArea`](user.widgets.bec_dock_area), or used as an individual component in your application through `BECDesigner`.
+
+````
+
+````{tab} Examples - CLI
+
+`BECMultiWaveform` can be embedded in both [`BECFigure`](user.widgets.bec_figure) and [`BECDockArea`](user.widgets.bec_dock_area), or used as an individual component in your application through `BECDesigner`. The command-line API is consistent across these contexts.
+
+## Example 1 - Adding Multi Waveform to BECFigure
+
+In this example, we demonstrate how to add a `MultiWaveform` plot to a `BECFigure` widget and connect it to a monitor.
+
+```python
+# Add a new dock and BECFigure to the GUI
+fig = gui.add_dock().add_widget('BECFigure')
+
+# Add a MultiWaveform plot to the figure and set the monitor
+multi_waveform = fig.multi_waveform(monitor='waveform1d')
+
+# Optionally, set plot properties
+multi_waveform.set_title("Real-Time Multi Waveform")
+multi_waveform.set_x_label("Time (s)")
+multi_waveform.set_y_label("Amplitude")
+```
+
+## Example 2 - Using BECMultiWaveformWidget in BECDockArea
+
+You can add `BECMultiWaveformWidget` directly to a `BECDockArea`. This widget includes its own toolbar and controls for interacting with the multi waveform plot.
+
+```python
+# Add a new BECMultiWaveformWidget to the BECDockArea
+multi_waveform_widget = gui.add_dock().add_widget('BECMultiWaveformWidget')
+
+# Set the monitor from the command line
+multi_waveform_widget.set_monitor('waveform1d')
+
+# Optionally, adjust settings
+multi_waveform_widget.set_opacity(60)
+multi_waveform_widget.set_curve_limit(100)
+```
+
+## Example 3 - Customizing the Multi Waveform Plot
+
+You can customize various aspects of the plot, such as the colormap, opacity, and curve limit.
+
+```python
+# Change the colormap to 'viridis'
+multi_waveform.set_colormap('viridis')
+
+# Adjust the opacity of the curves to 70%
+multi_waveform.set_opacity(70)
+
+# Limit the number of curves displayed to 50
+multi_waveform.set_curve_limit(50)
+
+# Enable buffer flush when the curve limit is reached
+multi_waveform.set_curve_limit(50, flush_buffer=True)
+```
+
+## Example 4 - Highlighting Curves
+
+You can highlight specific curves to emphasize important data.
+
+```python
+# Disable automatic highlighting of the last curve
+multi_waveform.set_highlight_last_curve(False)
+
+# Highlight the third curve (indexing starts from 0)
+multi_waveform.set_curve_highlight(2)
+
+# Re-enable automatic highlighting of the last curve
+multi_waveform.set_highlight_last_curve(True)
+```
+
+## Example 5 - Exporting Data
+
+You can export the data from the multi waveform plot for further analysis.
+
+```python
+# Get all the data as a dictionary
+data = multi_waveform.get_all_data(output='dict')
+
+# Or get the data as a pandas DataFrame (if pandas is installed)
+data_df = multi_waveform.get_all_data(output='pandas')
+
+# Export the plot to Matplotlib for further customization
+multi_waveform.export_to_matplotlib()
+```
+````
+
+````{tab} API
+
+```{eval-rst}
+.. autoclass:: bec_widgets.widgets.figure.plots.multi_waveform.multi_waveform.BECMultiWaveform
+   :members:
+   :inherited-members:
+```
+```

docs/user/widgets/widgets.md

@@ -45,6 +45,14 @@ Plotting widgets are used to display data in a graphical format.
 Display 1D detector signals.
 ```
 
+```{grid-item-card}  Multi Waveform Widget
+:link: user.widgets.multi_waveform_widget
+:link-type: ref
+:img-top: /assets/widget_screenshots/multi_waveform.png
+
+Display multiple 1D waveforms.
+```
+
 ```{grid-item-card}  Image Widget
 :link: user.widgets.image_widget
 :link-type: ref
@@ -241,6 +249,7 @@ hidden: true
 dock_area/bec_dock_area.md
 bec_figure/bec_figure.md
 waveform/waveform_widget.md
+multi_waveform/multi_waveform.md
 image/image_widget.md
 motor_map/motor_map.md
 scan_control/scan_control.md
@@ -248,7 +257,7 @@ progress_bar/ring_progress_bar.md
 bec_status_box/bec_status_box.md
 queue/queue.md
 buttons_appearance/buttons_appearance.md
-buttons_queue/buttons_queue.md
+buttons_queue/button_queue.md
 device_browser/device_browser.md
 positioner_box/positioner_box.md
 text_box/text_box.md
@@ -257,6 +266,7 @@ toggle/toggle.md
 spinner/spinner.md
 bec_progressbar/bec_progressbar.md
 device_input/device_input.md
+signal_input/signal_input.md
 position_indicator/position_indicator.md
 lmfit_dialog/lmfit_dialog.md
 dap_combo_box/dap_combo_box.md

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "bec_widgets"
-version = "1.4.0"
+version = "1.5.0"
 description = "BEC Widgets"
 requires-python = ">=3.10"
 classifiers = [

tests/unit_tests/test_bec_dock.py

@@ -65,16 +65,18 @@ def test_add_remove_bec_figure_to_dock(bec_dock_area):
     plt = fig.plot(x_name="samx", y_name="bpm4i")
     im = fig.image("eiger")
     mm = fig.motor_map("samx", "samy")
+    mw = fig.multi_waveform("waveform1d")
 
     assert len(bec_dock_area.dock_area.docks) == 1
     assert len(d0.widgets) == 1
     assert len(d0.widget_list) == 1
-    assert len(fig.widgets) == 3
+    assert len(fig.widgets) == 4
 
     assert fig.config.widget_class == "BECFigure"
     assert plt.config.widget_class == "BECWaveform"
     assert im.config.widget_class == "BECImageShow"
     assert mm.config.widget_class == "BECMotorMap"
+    assert mw.config.widget_class == "BECMultiWaveform"
 
 
 def test_close_docks(bec_dock_area, qtbot):

tests/unit_tests/test_bec_figure.py

@@ -6,6 +6,7 @@ import pytest
 from bec_widgets.widgets.figure import BECFigure
 from bec_widgets.widgets.figure.plots.image.image import BECImageShow
 from bec_widgets.widgets.figure.plots.motor_map.motor_map import BECMotorMap
+from bec_widgets.widgets.figure.plots.multi_waveform.multi_waveform import BECMultiWaveform
 from bec_widgets.widgets.figure.plots.waveform.waveform import BECWaveform
 
 from .client_mocks import mocked_client
@@ -63,10 +64,12 @@ def test_add_different_types_of_widgets(qtbot, mocked_client):
     plt = bec_figure.plot(x_name="samx", y_name="bpm4i")
     im = bec_figure.image("eiger")
     motor_map = bec_figure.motor_map("samx", "samy")
+    multi_waveform = bec_figure.multi_waveform("waveform")
 
     assert plt.__class__ == BECWaveform
     assert im.__class__ == BECImageShow
     assert motor_map.__class__ == BECMotorMap
+    assert multi_waveform.__class__ == BECMultiWaveform
 
 
 def test_access_widgets_access_errors(qtbot, mocked_client):

tests/unit_tests/test_multi_waveform.py

@@ -0,0 +1,253 @@
+from unittest import mock
+
+import numpy as np
+import pytest
+from bec_lib.endpoints import messages
+
+from bec_widgets.utils import Colors
+from bec_widgets.widgets.figure import BECFigure
+
+from .client_mocks import mocked_client
+from .conftest import create_widget
+
+
+def test_set_monitor(qtbot, mocked_client):
+    """Test that setting the monitor connects the appropriate slot."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("waveform1d")
+
+    assert multi_waveform.config.monitor == "waveform1d"
+    assert multi_waveform.connected is True
+
+    data_0 = np.random.rand(100)
+    msg = messages.DeviceMonitor1DMessage(
+        device="waveform1d", data=data_0, metadata={"scan_id": "12345"}
+    )
+    multi_waveform.on_monitor_1d_update(msg.content, msg.metadata)
+    data_waveform = multi_waveform.get_all_data()
+    print(data_waveform)
+
+    assert len(data_waveform) == 1
+    assert np.array_equal(data_waveform["curve_0"]["y"], data_0)
+
+    data_1 = np.random.rand(100)
+    msg = messages.DeviceMonitor1DMessage(
+        device="waveform1d", data=data_1, metadata={"scan_id": "12345"}
+    )
+    multi_waveform.on_monitor_1d_update(msg.content, msg.metadata)
+
+    data_waveform = multi_waveform.get_all_data()
+    assert len(data_waveform) == 2
+    assert np.array_equal(data_waveform["curve_0"]["y"], data_0)
+    assert np.array_equal(data_waveform["curve_1"]["y"], data_1)
+
+
+def test_on_monitor_1d_update(qtbot, mocked_client):
+    """Test that data updates add curves to the plot."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("test_monitor")
+
+    # Simulate receiving data updates
+    test_data = np.array([1, 2, 3, 4, 5])
+    msg = {"data": test_data}
+    metadata = {"scan_id": "scan_1"}
+
+    # Call the on_monitor_1d_update method
+    multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Check that a curve has been added
+    assert len(multi_waveform.curves) == 1
+    # Check that the data in the curve is correct
+    curve = multi_waveform.curves[-1]
+    x_data, y_data = curve.getData()
+    assert np.array_equal(y_data, test_data)
+
+    # Simulate another data update
+    test_data_2 = np.array([6, 7, 8, 9, 10])
+    msg2 = {"data": test_data_2}
+    metadata2 = {"scan_id": "scan_1"}
+
+    multi_waveform.on_monitor_1d_update(msg2, metadata2)
+
+    # Check that another curve has been added
+    assert len(multi_waveform.curves) == 2
+    # Check that the data in the curve is correct
+    curve2 = multi_waveform.curves[-1]
+    x_data2, y_data2 = curve2.getData()
+    assert np.array_equal(y_data2, test_data_2)
+
+
+def test_set_curve_limit_no_flush(qtbot, mocked_client):
+    """Test set_curve_limit with flush_buffer=False."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("test_monitor")
+
+    # Simulate adding multiple curves
+    for i in range(5):
+        test_data = np.array([i, i + 1, i + 2])
+        msg = {"data": test_data}
+        metadata = {"scan_id": "scan_1"}
+        multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Check that there are 5 curves
+    assert len(multi_waveform.curves) == 5
+    # Set curve limit to 3 with flush_buffer=False
+    multi_waveform.set_curve_limit(3, flush_buffer=False)
+
+    # Check that curves are hidden, but not removed
+    assert len(multi_waveform.curves) == 5
+    visible_curves = [curve for curve in multi_waveform.curves if curve.isVisible()]
+    assert len(visible_curves) == 3
+    # The first two curves should be hidden
+    assert not multi_waveform.curves[0].isVisible()
+    assert not multi_waveform.curves[1].isVisible()
+    assert multi_waveform.curves[2].isVisible()
+    assert multi_waveform.curves[3].isVisible()
+    assert multi_waveform.curves[4].isVisible()
+
+
+def test_set_curve_limit_flush(qtbot, mocked_client):
+    """Test set_curve_limit with flush_buffer=True."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("test_monitor")
+
+    # Simulate adding multiple curves
+    for i in range(5):
+        test_data = np.array([i, i + 1, i + 2])
+        msg = {"data": test_data}
+        metadata = {"scan_id": "scan_1"}
+        multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Check that there are 5 curves
+    assert len(multi_waveform.curves) == 5
+    # Set curve limit to 3 with flush_buffer=True
+    multi_waveform.set_curve_limit(3, flush_buffer=True)
+
+    # Check that only 3 curves remain
+    assert len(multi_waveform.curves) == 3
+    # The curves should be the last 3 added
+    x_data, y_data = multi_waveform.curves[0].getData()
+    assert np.array_equal(y_data, [2, 3, 4])
+    x_data, y_data = multi_waveform.curves[1].getData()
+    assert np.array_equal(y_data, [3, 4, 5])
+    x_data, y_data = multi_waveform.curves[2].getData()
+    assert np.array_equal(y_data, [4, 5, 6])
+
+
+def test_set_curve_highlight(qtbot, mocked_client):
+    """Test that the correct curve is highlighted."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("test_monitor")
+
+    # Simulate adding multiple curves
+    for i in range(3):
+        test_data = np.array([i, i + 1, i + 2])
+        msg = {"data": test_data}
+        metadata = {"scan_id": "scan_1"}
+        multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Set highlight_last_curve to False
+    multi_waveform.highlight_last_curve = False
+    multi_waveform.set_curve_highlight(1)  # Highlight the second curve (index 1)
+
+    # Check that the second curve is highlighted
+    visible_curves = [curve for curve in multi_waveform.curves if curve.isVisible()]
+    # Reverse the list to match indexing in set_curve_highlight
+    visible_curves = list(reversed(visible_curves))
+    for i, curve in enumerate(visible_curves):
+        pen = curve.opts["pen"]
+        width = pen.width()
+        if i == 1:
+            # Highlighted curve should have width 5
+            assert width == 5
+        else:
+            assert width == 1
+
+
+def test_set_opacity(qtbot, mocked_client):
+    """Test that setting opacity updates the curves."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("waveform1d")
+
+    # Simulate adding a curve
+    test_data = np.array([1, 2, 3])
+    msg = {"data": test_data}
+    metadata = {"scan_id": "scan_1"}
+    multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Set opacity to 30
+    multi_waveform.set_opacity(30)
+    assert multi_waveform.config.opacity == 30
+
+
+def test_set_colormap(qtbot, mocked_client):
+    """Test that setting the colormap updates the curve colors."""
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("waveform1d")
+
+    # Simulate adding multiple curves
+    for i in range(3):
+        test_data = np.array([i, i + 1, i + 2])
+        msg = {"data": test_data}
+        metadata = {"scan_id": "scan_1"}
+        multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Set a new colormap
+    multi_waveform.set_opacity(100)
+    multi_waveform.set_colormap("viridis")
+    # Check that the colors of the curves have changed accordingly
+    visible_curves = [curve for curve in multi_waveform.curves if curve.isVisible()]
+    # Get the colors applied
+    colors = Colors.evenly_spaced_colors(colormap="viridis", num=len(visible_curves), format="HEX")
+    for i, curve in enumerate(visible_curves):
+        pen = curve.opts["pen"]
+        pen_color = pen.color().name()
+        expected_color = colors[i]
+        # Compare pen color to expected color
+        assert pen_color.lower() == expected_color.lower()
+
+
+def test_export_to_matplotlib(qtbot, mocked_client):
+    """Test that export_to_matplotlib can be called without errors."""
+    try:
+        import matplotlib
+    except ImportError:
+        pytest.skip("Matplotlib not installed")
+
+    # Create a BECFigure
+    bec_figure = create_widget(qtbot, BECFigure, client=mocked_client)
+    # Add a multi_waveform plot
+    multi_waveform = bec_figure.multi_waveform()
+    multi_waveform.set_monitor("test_monitor")
+
+    # Simulate adding a curve
+    test_data = np.array([1, 2, 3])
+    msg = {"data": test_data}
+    metadata = {"scan_id": "scan_1"}
+    multi_waveform.on_monitor_1d_update(msg, metadata)
+
+    # Call export_to_matplotlib
+    with mock.patch("pyqtgraph.exporters.MatplotlibExporter.export") as mock_export:
+        multi_waveform.export_to_matplotlib()
+        mock_export.assert_called_once()

tests/unit_tests/test_multi_waveform_widget.py

@@ -0,0 +1,295 @@
+from unittest.mock import MagicMock, patch
+
+import pytest
+from qtpy.QtGui import QColor
+from qtpy.QtWidgets import QApplication
+
+from bec_widgets.qt_utils.settings_dialog import SettingsDialog
+from bec_widgets.utils.colors import apply_theme, get_theme_palette, set_theme
+from bec_widgets.widgets.figure.plots.axis_settings import AxisSettings
+from bec_widgets.widgets.multi_waveform.multi_waveform_widget import BECMultiWaveformWidget
+
+from .client_mocks import mocked_client
+
+
+@pytest.fixture
+def multi_waveform_widget(qtbot, mocked_client):
+    widget = BECMultiWaveformWidget(client=mocked_client())
+    qtbot.addWidget(widget)
+    qtbot.waitExposed(widget)
+    return widget
+
+
+@pytest.fixture
+def mock_waveform(multi_waveform_widget):
+    waveform_mock = MagicMock()
+    multi_waveform_widget.waveform = waveform_mock
+    return waveform_mock
+
+
+def test_multi_waveform_widget_init(multi_waveform_widget):
+    assert multi_waveform_widget is not None
+    assert multi_waveform_widget.client is not None
+    assert isinstance(multi_waveform_widget, BECMultiWaveformWidget)
+    assert multi_waveform_widget.config.widget_class == "BECMultiWaveformWidget"
+
+
+###################################
+# Wrapper methods for Waveform
+###################################
+
+
+def test_multi_waveform_widget_set_monitor(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set_monitor("waveform1d")
+    mock_waveform.set_monitor.assert_called_once_with("waveform1d")
+
+
+def test_multi_waveform_widget_set_curve_highlight_last_active(
+    multi_waveform_widget, mock_waveform
+):
+    multi_waveform_widget.set_curve_highlight(1)
+    mock_waveform.set_curve_highlight.assert_called_once_with(-1)
+
+
+def test_multi_waveform_widget_set_curve_highlight_last_not_active(
+    multi_waveform_widget, mock_waveform
+):
+    multi_waveform_widget.set_highlight_last_curve(False)
+    multi_waveform_widget.set_curve_highlight(1)
+    mock_waveform.set_curve_highlight.assert_called_with(1)
+
+
+def test_multi_waveform_widget_set_opacity(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set_opacity(50)
+    mock_waveform.set_opacity.assert_called_once_with(50)
+
+
+def test_multi_waveform_widget_set_curve_limit(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set_curve_limit(10)
+    mock_waveform.set_curve_limit.assert_called_once_with(
+        10, multi_waveform_widget.controls.checkbox_flush_buffer.isChecked()
+    )
+
+
+def test_multi_waveform_widget_set_buffer_flush(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set_buffer_flush(True)
+    mock_waveform.set_curve_limit.assert_called_once_with(
+        multi_waveform_widget.controls.spinbox_max_trace.value(), True
+    )
+
+
+def test_multi_waveform_widget_set_highlight_last_curve(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set_highlight_last_curve(True)
+    assert multi_waveform_widget.waveform.config.highlight_last_curve is True
+    assert not multi_waveform_widget.controls.slider_index.isEnabled()
+    assert not multi_waveform_widget.controls.spinbox_index.isEnabled()
+    mock_waveform.set_curve_highlight.assert_called_once_with(-1)
+
+
+def test_multi_waveform_widget_set_colormap(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set_colormap("viridis")
+    mock_waveform.set_colormap.assert_called_once_with("viridis")
+
+
+def test_multi_waveform_widget_set_base(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.set(
+        title="Test Title",
+        x_label="X Label",
+        y_label="Y Label",
+        x_scale="linear",
+        y_scale="log",
+        x_lim=(0, 10),
+        y_lim=(0, 10),
+    )
+    mock_waveform.set.assert_called_once_with(
+        title="Test Title",
+        x_label="X Label",
+        y_label="Y Label",
+        x_scale="linear",
+        y_scale="log",
+        x_lim=(0, 10),
+        y_lim=(0, 10),
+    )
+
+
+###################################
+# Toolbar interactions
+###################################
+
+
+def test_toolbar_connect_action_triggered(multi_waveform_widget, qtbot):
+    action_connect = multi_waveform_widget.toolbar.widgets["connect"].action
+    device_combobox = multi_waveform_widget.toolbar.widgets["monitor"].device_combobox
+    device_combobox.addItem("test_monitor")
+    device_combobox.setCurrentText("test_monitor")
+
+    with patch.object(multi_waveform_widget, "set_monitor") as mock_set_monitor:
+        action_connect.trigger()
+        mock_set_monitor.assert_called_once_with(monitor="test_monitor")
+
+
+def test_toolbar_drag_mode_action_triggered(multi_waveform_widget, qtbot):
+    action_drag = multi_waveform_widget.toolbar.widgets["drag_mode"].action
+    action_rectangle = multi_waveform_widget.toolbar.widgets["rectangle_mode"].action
+    action_drag.trigger()
+    assert action_drag.isChecked() == True
+    assert action_rectangle.isChecked() == False
+
+
+def test_toolbar_rectangle_mode_action_triggered(multi_waveform_widget, qtbot):
+    action_drag = multi_waveform_widget.toolbar.widgets["drag_mode"].action
+    action_rectangle = multi_waveform_widget.toolbar.widgets["rectangle_mode"].action
+    action_rectangle.trigger()
+    assert action_drag.isChecked() == False
+    assert action_rectangle.isChecked() == True
+
+
+def test_toolbar_auto_range_action_triggered(multi_waveform_widget, mock_waveform, qtbot):
+    action = multi_waveform_widget.toolbar.widgets["auto_range"].action
+    action.trigger()
+    qtbot.wait(200)
+    mock_waveform.set_auto_range.assert_called_once_with(True, "xy")
+
+
+###################################
+# Control Panel interactions
+###################################
+
+
+def test_controls_opacity_slider(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.controls.slider_opacity.setValue(75)
+    mock_waveform.set_opacity.assert_called_with(75)
+    assert multi_waveform_widget.controls.spinbox_opacity.value() == 75
+
+
+def test_controls_opacity_spinbox(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.controls.spinbox_opacity.setValue(25)
+    mock_waveform.set_opacity.assert_called_with(25)
+    assert multi_waveform_widget.controls.slider_opacity.value() == 25
+
+
+def test_controls_max_trace_spinbox(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.controls.spinbox_max_trace.setValue(15)
+    mock_waveform.set_curve_limit.assert_called_with(
+        15, multi_waveform_widget.controls.checkbox_flush_buffer.isChecked()
+    )
+
+
+def test_controls_flush_buffer_checkbox(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.controls.checkbox_flush_buffer.setChecked(True)
+    mock_waveform.set_curve_limit.assert_called_with(
+        multi_waveform_widget.controls.spinbox_max_trace.value(), True
+    )
+
+
+def test_controls_highlight_checkbox(multi_waveform_widget, mock_waveform):
+    multi_waveform_widget.controls.checkbox_highlight.setChecked(False)
+    assert multi_waveform_widget.waveform.config.highlight_last_curve is False
+    assert multi_waveform_widget.controls.slider_index.isEnabled()
+    assert multi_waveform_widget.controls.spinbox_index.isEnabled()
+    index = multi_waveform_widget.controls.spinbox_index.value()
+    mock_waveform.set_curve_highlight.assert_called_with(index)
+
+
+###################################
+# Axis Settings Dialog Tests
+###################################
+
+
+def show_axis_dialog(qtbot, multi_waveform_widget):
+    axis_dialog = SettingsDialog(
+        multi_waveform_widget,
+        settings_widget=AxisSettings(),
+        window_title="Axis Settings",
+        config=multi_waveform_widget.waveform._config_dict["axis"],
+    )
+    qtbot.addWidget(axis_dialog)
+    qtbot.waitExposed(axis_dialog)
+    return axis_dialog
+
+
+def test_axis_dialog_with_axis_limits(qtbot, multi_waveform_widget):
+    multi_waveform_widget.set(
+        title="Test Title",
+        x_label="X Label",
+        y_label="Y Label",
+        x_scale="linear",
+        y_scale="log",
+        x_lim=(0, 10),
+        y_lim=(0, 10),
+    )
+
+    axis_dialog = show_axis_dialog(qtbot, multi_waveform_widget)
+
+    assert axis_dialog is not None
+    assert axis_dialog.widget.ui.plot_title.text() == "Test Title"
+    assert axis_dialog.widget.ui.x_label.text() == "X Label"
+    assert axis_dialog.widget.ui.y_label.text() == "Y Label"
+    assert axis_dialog.widget.ui.x_scale.currentText() == "linear"
+    assert axis_dialog.widget.ui.y_scale.currentText() == "log"
+    assert axis_dialog.widget.ui.x_min.value() == 0
+    assert axis_dialog.widget.ui.x_max.value() == 10
+    assert axis_dialog.widget.ui.y_min.value() == 0
+    assert axis_dialog.widget.ui.y_max.value() == 10
+
+
+def test_axis_dialog_set_properties(qtbot, multi_waveform_widget):
+    axis_dialog = show_axis_dialog(qtbot, multi_waveform_widget)
+
+    axis_dialog.widget.ui.plot_title.setText("New Title")
+    axis_dialog.widget.ui.x_label.setText("New X Label")
+    axis_dialog.widget.ui.y_label.setText("New Y Label")
+    axis_dialog.widget.ui.x_scale.setCurrentText("log")
+    axis_dialog.widget.ui.y_scale.setCurrentText("linear")
+    axis_dialog.widget.ui.x_min.setValue(5)
+    axis_dialog.widget.ui.x_max.setValue(15)
+    axis_dialog.widget.ui.y_min.setValue(5)
+    axis_dialog.widget.ui.y_max.setValue(15)
+
+    axis_dialog.accept()
+
+    assert multi_waveform_widget.waveform.config.axis.title == "New Title"
+    assert multi_waveform_widget.waveform.config.axis.x_label == "New X Label"
+    assert multi_waveform_widget.waveform.config.axis.y_label == "New Y Label"
+    assert multi_waveform_widget.waveform.config.axis.x_scale == "log"
+    assert multi_waveform_widget.waveform.config.axis.y_scale == "linear"
+    assert multi_waveform_widget.waveform.config.axis.x_lim == (5, 15)
+    assert multi_waveform_widget.waveform.config.axis.y_lim == (5, 15)
+
+
+###################################
+# Theme Update Test
+###################################
+
+
+def test_multi_waveform_widget_theme_update(qtbot, multi_waveform_widget):
+    """Test theme update for multi waveform widget."""
+    qapp = QApplication.instance()
+
+    # Set the theme to dark
+    set_theme("dark")
+    palette = get_theme_palette()
+    waveform_color_dark = multi_waveform_widget.waveform.plot_item.getAxis("left").pen().color()
+    bg_color = multi_waveform_widget.fig.backgroundBrush().color()
+    assert bg_color == QColor("black")
+    assert waveform_color_dark == palette.text().color()
+
+    # Set the theme to light
+    set_theme("light")
+    palette = get_theme_palette()
+    waveform_color_light = multi_waveform_widget.waveform.plot_item.getAxis("left").pen().color()
+    bg_color = multi_waveform_widget.fig.backgroundBrush().color()
+    assert bg_color == QColor("white")
+    assert waveform_color_light == palette.text().color()
+
+    assert waveform_color_dark != waveform_color_light
+
+    # Set the theme to auto and simulate OS theme change
+    set_theme("auto")
+    qapp.theme_signal.theme_updated.emit("dark")
+    apply_theme("dark")
+
+    waveform_color = multi_waveform_widget.waveform.plot_item.getAxis("left").pen().color()
+    bg_color = multi_waveform_widget.fig.backgroundBrush().color()
+    assert bg_color == QColor("black")
+    assert waveform_color == waveform_color_dark