From 5c2a9491263fdb3415058ec12f0b24d48d1e2d6c Mon Sep 17 00:00:00 2001 From: Raphael Vallat Date: Tue, 13 Feb 2024 22:58:09 +0100 Subject: [PATCH] Remove deprecation warning for seaborn + bump seaborn>=0.12.0 --- requirements.txt | 2 +- yasa/tests/test_detection.py | 20 ++++++++++---------- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/requirements.txt b/requirements.txt index 2fb7b1b..7d857e4 100644 --- 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 index a9abb22..a9b893e 100644 --- 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)