For connoisseur only: add a simple "ephyviewer" backend plot_traces().

doc/modules/widgets.rst

@@ -14,6 +14,9 @@ Since version 0.95.0, the :py:mod:`spikeinterface.widgets` module supports multi
 * | :code:`sortingview`: web-based and interactive rendering using the `sortingview <https://github.com/magland/sortingview>`_
   | and `FIGURL <https://github.com/flatironinstitute/figurl>`_ packages.
 
+Version 0.100.0, also come with this new backend:
+* | :code:`ephyviewer`: interactive Qt based using the `ephyviewer <https://ephyviewer.readthedocs.io/en/latest/>`_ package
+
 
 Installing backends
 -------------------
@@ -85,6 +88,28 @@ Finally, if you wish to set up another cloud provider, follow the instruction fr
 `kachery-cloud <https://github.com/flatironinstitute/kachery-cloud>`_ package ("Using your own storage bucket").
 
 
+ephyviewer
+^^^^^^^^^^
+
+This backend is Qt based with PyQt5, PyQt6 or PySide6 support. Qt is sometimes tedious to install.
+
+
+For a pip-based installation, run:
+
+.. code-block:: bash
+
+    pip install PySide6 ephyviewer
+
+
+Anaconda users will have a better experience with this:
+
+.. code-block:: bash
+
+    conda install pyqt=5
+    pip install ephyviewer
+
+
+
 Usage
 -----
 
@@ -215,6 +240,21 @@ For example, here is how to combine the timeseries and sorting summary generated
     print(url)
 
 
+ephyviewer
+^^^^^^^^^^
+
+
+The :code:`ephyviewer` backend is currently only available for the :py:func:`~spikeinterface.widgets.plot_traces()` function.
+
+
+.. code-block:: python
+
+    plot_traces(recording, backend="ephyviewer", mode="line", show_channel_ids=True)
+
+
+.. image:: ../images/plot_traces_ephyviewer.png
+
+
 
 Available plotting functions
 ----------------------------
@@ -229,7 +269,7 @@ Available plotting functions
 * :py:func:`~spikeinterface.widgets.plot_spikes_on_traces` (backends: :code:`matplotlib`, :code:`ipywidgets`)
 * :py:func:`~spikeinterface.widgets.plot_template_metrics` (backends: :code:`matplotlib`, :code:`ipywidgets`, :code:`sortingview`)
 * :py:func:`~spikeinterface.widgets.plot_template_similarity` (backends: ::code:`matplotlib`, :code:`sortingview`)
-* :py:func:`~spikeinterface.widgets.plot_timeseries` (backends: :code:`matplotlib`, :code:`ipywidgets`, :code:`sortingview`)
+* :py:func:`~spikeinterface.widgets.plot_traces` (backends: :code:`matplotlib`, :code:`ipywidgets`, :code:`sortingview`, :code:`ephyviewer`)
 * :py:func:`~spikeinterface.widgets.plot_unit_depths` (backends: :code:`matplotlib`)
 * :py:func:`~spikeinterface.widgets.plot_unit_locations` (backends: :code:`matplotlib`, :code:`ipywidgets`, :code:`sortingview`)
 * :py:func:`~spikeinterface.widgets.plot_unit_summary` (backends: :code:`matplotlib`)

src/spikeinterface/widgets/base.py

@@ -39,12 +39,14 @@ def set_default_plotter_backend(backend):
         "height_cm": "Height of the figure in cm (default 6)",
         "display": "If True, widgets are immediately displayed",
     },
+    "ephyviewer": {},
 }
 
 default_backend_kwargs = {
     "matplotlib": {"figure": None, "ax": None, "axes": None, "ncols": 5, "figsize": None, "figtitle": None},
     "sortingview": {"generate_url": True, "display": True, "figlabel": None, "height": None},
     "ipywidgets": {"width_cm": 25, "height_cm": 10, "display": True},
+    "ephyviewer": {},
 }
 
 

src/spikeinterface/widgets/tests/test_widgets.py

@@ -72,7 +72,7 @@ def setUpClass(cls):
         else:
             cls.we_sparse = cls.we.save(folder=cache_folder / "mearec_test_sparse", sparsity=cls.sparsity_radius)
 
-        cls.skip_backends = ["ipywidgets"]
+        cls.skip_backends = ["ipywidgets", "ephyviewer"]
 
         if ON_GITHUB and not KACHERY_CLOUD_SET:
             cls.skip_backends.append("sortingview")

src/spikeinterface/widgets/traces.py

@@ -524,6 +524,30 @@ def plot_sortingview(self, data_plot, **backend_kwargs):
 
         self.url = handle_display_and_url(self, self.view, **backend_kwargs)
 
+    def plot_ephyviewer(self, data_plot, **backend_kwargs):
+        import ephyviewer
+        from ..preprocessing import depth_order
+
+        dp = to_attr(data_plot)
+
+        app = ephyviewer.mkQApp()
+        win = ephyviewer.MainViewer(debug=False, show_auto_scale=True)
+
+        for k, rec in dp.recordings.items():
+            if dp.order_channel_by_depth:
+                rec = depth_order(rec, flip=True)
+
+            sig_source = ephyviewer.SpikeInterfaceRecordingSource(recording=rec)
+            view = ephyviewer.TraceViewer(source=sig_source, name=k)
+            view.params["scale_mode"] = "by_channel"
+            if dp.show_channel_ids:
+                view.params["display_labels"] = True
+            view.auto_scale()
+            win.add_view(view)
+
+        win.show()
+        app.exec()
+
 
 def _get_trace_list(recordings, channel_ids, time_range, segment_index, order=None, return_scaled=False):
     # function also used in ipywidgets plotter