fix

Author: xadupre

_doc/examples/ml/plot_template_data.py

@@ -105,9 +105,7 @@ def make_pipeline(table, cible):
     if num_cols:
         transformers.append(("num", StandardScaler(), num_cols))
     if cat_cols:
-        transformers.append(
-            ("cats", OneHotEncoder(handle_unknown="ignore"), cat_cols)
-        )
+        transformers.append(("cats", OneHotEncoder(handle_unknown="ignore"), cat_cols))
 
     model = Pipeline(
         [

teachpyx/tools/pandas.py

@@ -115,9 +115,7 @@ def plot_waterfall(
         _, ax = plt.subplots(1, 1)
 
     bar_colors = [
-        colors[2]
-        if kind == "total"
-        else (colors[0] if value >= 0 else colors[1])
+        colors[2] if kind == "total" else (colors[0] if value >= 0 else colors[1])
         for value, kind in zip(plot_df["value"], plot_df["kind"])
     ]
     ax.bar(