diff --git a/doc/conf.py b/doc/conf.py
index 5805f377983..db6e5c569fe 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -1382,6 +1382,7 @@ def reset_warnings(gallery_conf, fname):
         r"iteritems is deprecated.*Use \.items instead\.",
         "is_categorical_dtype is deprecated.*",
         "The default of observed=False.*",
+        "When grouping with a length-1 list-like.*",
     ):
         warnings.filterwarnings(
             "ignore",
diff --git a/examples/time_frequency/time_frequency_erds.py b/examples/time_frequency/time_frequency_erds.py
index 593861674ed..556730b6cab 100644
--- a/examples/time_frequency/time_frequency_erds.py
+++ b/examples/time_frequency/time_frequency_erds.py
@@ -50,6 +50,7 @@
 # %%
 # First, we load and preprocess the data. We use runs 6, 10, and 14 from
 # subject 1 (these runs contains hand and feet motor imagery).
+
 fnames = eegbci.load_data(subject=1, runs=(6, 10, 14))
 raw = concatenate_raws([read_raw_edf(f, preload=True) for f in fnames])
 
@@ -59,6 +60,7 @@
 
 # %%
 # Now we can create 5-second epochs around events of interest.
+
 tmin, tmax = -1, 4
 event_ids = dict(hands=2, feet=3)  # map event IDs to tasks