Updates soon-to-be-deprecated Seaborn API.

.pre-commit-config.yaml

@@ -3,4 +3,4 @@ repos:
     rev: 22.3.0
     hooks:
       - id: black
-        language_version: python3.8
+        language_version: python

afqinsight/cnn.py

@@ -141,7 +141,6 @@ def __init__(
         project_name=None,
         **tuner_kwargs,
     ):
-
         self.tuner_type = tuner_type
         self.layers = layers
         self.input_shape = input_shape

afqinsight/plot.py

@@ -263,7 +263,7 @@ def plot_tract_profiles(
                 y=metric,
                 hue=hue,
                 data=df_stat,
-                ci=ci,
+                errorbar=("ci", 95.0),
                 palette=palette,
                 ax=ax,
                 linewidth=1.0,

afqinsight/tests/test_bagging.py

@@ -213,7 +213,6 @@ def fit(self, X, y):
         X_train_sparse = sparse_format(X_train)
         X_test_sparse = sparse_format(X_test)
         for params in parameter_sets:
-
             # Trained on sparse format
             sparse_classifier = SerialBaggingRegressor(
                 base_estimator=CustomSVR(), random_state=1, **params

afqinsight/tests/test_cnn.py

@@ -150,7 +150,6 @@ def test_random_cnn():
 
 
 def test_fail_cnn():
-
     with pytest.raises(ValueError):
         # passing in wrong shape of X (not 2d):
         model = CNN(100, 6, 5, 64)

setup.cfg

@@ -33,7 +33,7 @@ setup_requires =
 python_requires = >=3.7
 install_requires =
     dipy>=1.0.0
-    groupyr>=0.2.7
+    groupyr>=0.3.2
     matplotlib
     numpy
     pandas>=1.1.0