Remove deprecation warning for seaborn (#163)

+ bump seaborn>=0.12.0
raphaelvallat · Feb 13, 2024 · 776a257 · 776a257
1 parent 0035594
commit 776a257
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Showing 2 changed files with 11 additions and 11 deletions.
diff --git a/requirements.txt b/requirements.txt
@@ -5,7 +5,7 @@ mne>=1.3
 numba>=0.57.1
 matplotlib
 ipywidgets
-seaborn
+seaborn>=0.12.0
 lspopt
 tensorpac>=0.6.5
 scikit-learn

diff --git a/yasa/tests/test_detection.py b/yasa/tests/test_detection.py
@@ -74,7 +74,7 @@ def test_spindles_detect(self):
         sp.get_mask()
         sp.get_sync_events()
         sp.get_sync_events(time_before=10)  # Invalid time window
-        sp.plot_average(ci=None, filt=(None, 30))  # Skip bootstrapping
+        sp.plot_average(errorbar=None, filt=(None, 30))  # Skip bootstrapping
         np.testing.assert_array_equal(np.squeeze(sp._data), data)
         # Compare channels return dataframe with single cell
         assert sp.compare_channels().shape == (1, 1)
@@ -154,7 +154,7 @@ def test_spindles_detect(self):
         sp.get_sync_events(filt=(12, 15))
         sp.summary()
         sp.summary(grp_chan=True)
-        sp.plot_average(ci=None)
+        sp.plot_average(errorbar=None)
         sp.get_coincidence_matrix()
         sp.get_coincidence_matrix(scaled=False)
         sp.plot_detection()
@@ -189,8 +189,8 @@ def test_spindles_detect(self):
         sp.summary(grp_chan=False, grp_stage=True, aggfunc="median")
         sp.summary(grp_chan=True, grp_stage=False)
         sp.summary(grp_chan=True, grp_stage=True, sort=False)
-        sp.plot_average(ci=None)
-        sp.plot_average(hue="Stage", ci=None)
+        sp.plot_average(errorbar=None)
+        sp.plot_average(hue="Stage", errorbar=None)
         sp.plot_detection()
 
         # Test compare_channels function
@@ -234,7 +234,7 @@ def test_sw_detect(self):
         sw.summary()
         sw.get_mask()
         sw.get_sync_events()
-        sw.plot_average(ci=None)
+        sw.plot_average(errorbar=None)
         sw.plot_detection()
         np.testing.assert_array_equal(np.squeeze(sw._data), data_sw)
         np.testing.assert_array_equal(sw._hypno, hypno_sw)
@@ -259,7 +259,7 @@ def test_sw_detect(self):
         sw = sw_detect(data_full, sf, chan_full)
         sw.get_mask()
         sw.get_sync_events()
-        sw.plot_average(ci=None)
+        sw.plot_average(errorbar=None)
         sw.plot_detection()
         sw.get_coincidence_matrix()
         sw.get_coincidence_matrix(scaled=False)
@@ -276,8 +276,8 @@ def test_sw_detect(self):
         sw.summary(grp_chan=False, grp_stage=True, aggfunc="median")
         sw.summary(grp_chan=True, grp_stage=False)
         sw.summary(grp_chan=True, grp_stage=True, sort=False)
-        sw.plot_average(ci=None)
-        sw.plot_average(hue="Stage", ci=None)
+        sw.plot_average(errorbar=None)
+        sw.plot_average(hue="Stage", errorbar=None)
         sw.plot_detection()
         # Check coupling
         sw_sum = sw.summary()
@@ -335,8 +335,8 @@ def test_rem_detect(self):
         rem.summary()
         rem.get_mask()
         rem.get_sync_events()
-        rem.plot_average(ci=None)
-        rem.plot_average(filt=(0.5, 5), ci=None)
+        rem.plot_average(errorbar=None)
+        rem.plot_average(filt=(0.5, 5), errorbar=None)
 
         # With REM hypnogram
         hypno_rem = 4 * np.ones_like(loc)