Run pre-commit locally

src/spikeinterface/widgets/unit_spatial.py

@@ -7,6 +7,7 @@
 from warnings import warn
 from .base import BaseWidget, to_attr
 
+
 class UnitSpatialDistributionsWidget(BaseWidget):
     """
     Placeholder documentation to be changed.
@@ -18,15 +19,20 @@ class UnitSpatialDistributionsWidget(BaseWidget):
     depth_axis : int, default: 1
         The dimension of unit_locations that is depth
     """
-        
+
     def __init__(
-            self,
-            sorting_analyzer, probe=None,
-            depth_axis=1, bins=None,
-            cmap="viridis", kde=False,
-            depth_hist=True, groups=None,
-            kde_kws=None,
-            backend=None, **backend_kwargs
+        self,
+        sorting_analyzer,
+        probe=None,
+        depth_axis=1,
+        bins=None,
+        cmap="viridis",
+        kde=False,
+        depth_hist=True,
+        groups=None,
+        kde_kws=None,
+        backend=None,
+        **backend_kwargs,
     ):
         sorting_analyzer = self.ensure_sorting_analyzer(sorting_analyzer)
 
@@ -44,12 +50,12 @@ def __init__(
         else:
             # TODO: throw error or warning, no probe available
             pass
-        
+
         xrange, yrange, _ = get_auto_lims(probe, margin=0)
         if bins is None:
             bins = (
                 np.round(np.diff(xrange).squeeze() / 75).astype(int),
-                np.round(np.diff(yrange).squeeze() / 75).astype(int)
+                np.round(np.diff(yrange).squeeze() / 75).astype(int),
             )
             # TODO: change behaviour, if bins is not defined, bin only along the depth axis
 
@@ -68,7 +74,7 @@ def __init__(
             cmap=cmap,
             depth_hist=depth_hist,
             groups=groups,
-            kde_kws=kde_kws
+            kde_kws=kde_kws,
         )
 
         BaseWidget.__init__(self, plot_data, backend=backend, **backend_kwargs)
@@ -103,16 +109,11 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
                     np.diff(dp.xrange).squeeze(),
                     np.diff(dp.yrange).squeeze(),
                     facecolor=dp.cmap.colors[0],
-                    fill=True
+                    fill=True,
                 )
             )
             bg.set_clip_path(patch)
-            kdeplot(
-                data, x='x', y='y',
-                clip=[dp.xrange, dp.yrange],
-                cmap=dp.cmap, ax=ax,
-                **kde_kws
-            )
+            kdeplot(data, x="x", y="y", clip=[dp.xrange, dp.yrange], cmap=dp.cmap, ax=ax, **kde_kws)
             pcm = ax.collections[0]
             ax.set_xlabel(None)
             ax.set_ylabel(None)
@@ -122,21 +123,30 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
         xlim, ylim, _ = get_auto_lims(dp.probe, margin=10)
         ax.set_xlim(*xlim)
         ax.set_ylim(*ylim)
-        ax.spines['top'].set_visible(False)
-        ax.spines['bottom'].set_visible(False)
-        ax.spines['right'].set_visible(False)
+        ax.spines["top"].set_visible(False)
+        ax.spines["bottom"].set_visible(False)
+        ax.spines["right"].set_visible(False)
         ax.set_xticks([])
-        ax.set_xlabel('')
-        ax.set_ylabel('Depth (um)')
+        ax.set_xlabel("")
+        ax.set_ylabel("Depth (um)")
 
         if dp.depth_hist is True:
             bbox = ax.get_window_extent()
             hist_height = 1.5 * bbox.width
 
             ax_hist = ax.inset_axes([1, 0, hist_height / bbox.width, 1])
             data = dict(y=dp.y)
-            data['group'] = np.ones(dp.y.size) if dp.groups is None else dp.groups
-            palette = color_palette('bright', n_colors=1 if dp.groups is None else np.unique(dp.groups).size)
-            histplot(data=data, y='y', hue='group', bins=dp.bins[1], binrange=dp.yrange, palette=palette, ax=ax_hist, legend=False)
-            ax_hist.axis('off')
-            ax_hist.set_ylim(*ylim)
+            data["group"] = np.ones(dp.y.size) if dp.groups is None else dp.groups
+            palette = color_palette("bright", n_colors=1 if dp.groups is None else np.unique(dp.groups).size)
+            histplot(
+                data=data,
+                y="y",
+                hue="group",
+                bins=dp.bins[1],
+                binrange=dp.yrange,
+                palette=palette,
+                ax=ax_hist,
+                legend=False,
+            )
+            ax_hist.axis("off")
+            ax_hist.set_ylim(*ylim)

src/spikeinterface/widgets/widget_list.py

@@ -159,4 +159,4 @@
 
 def plot_timeseries(*args, **kwargs):
     warnings.warn("plot_timeseries() is now plot_traces()")
-    return plot_traces(*args, **kwargs)
+    return plot_traces(*args, **kwargs)