When rendering Evoked in a Report, now also include an "Info" section containing the HTML repr (#12584)

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

Author: hoechenberger

doc/changes/devel/12584.newfeature.rst

@@ -0,0 +1,4 @@
+When adding :class:`~mne.Evoked` data to a :class:`~mne.Report` via
+:meth:`~mne.Report.add_evokeds`, we now also include an "Info" section
+with some basic summary info, as has already been the case for raw and
+epochs data, by `Richard Höchenberger`_.

mne/report/report.py

@@ -3672,6 +3672,17 @@ def _add_evoked(
         n_jobs,
         replace,
     ):
+        # Summary table
+        self._add_html_repr(
+            inst=evoked,
+            title="Info",
+            tags=tags,
+            section=section,
+            replace=replace,
+            div_klass="evoked",
+        )
+
+        # Joint plot
         ch_types = _get_data_ch_types(evoked)
         self._add_evoked_joint(
             evoked=evoked,
@@ -3682,6 +3693,8 @@ def _add_evoked(
             topomap_kwargs=topomap_kwargs,
             replace=replace,
         )
+
+        # Topomaps
         self._add_evoked_topomap_slider(
             evoked=evoked,
             ch_types=ch_types,
@@ -3693,6 +3706,8 @@ def _add_evoked(
             n_jobs=n_jobs,
             replace=replace,
         )
+
+        # GFP
         self._add_evoked_gfp(
             evoked=evoked,
             ch_types=ch_types,
@@ -3702,6 +3717,7 @@ def _add_evoked(
             replace=replace,
         )
 
+        # Whitened evoked
         if noise_cov is not None:
             self._add_evoked_whitened(
                 evoked=evoked,

tutorials/intro/70_report.py

@@ -156,7 +156,7 @@
 # noise covariance, we can add plots evokeds that were "whitened" using this
 # covariance matrix.
 #
-# By default, this method will produce snapshots at 21 equally-spaced time
+# By default, this method will produce topographic plots at 21 equally-spaced time
 # points (or fewer, if the data contains fewer time points). We can adjust this
 # via the ``n_time_points`` parameter.