fix(plotly): dendrogram fixes added

src/skfolio/cluster/_hierarchical.py

@@ -8,13 +8,13 @@
 
 import numpy as np
 import numpy.typing as npt
-import plotly.figure_factory as ff
 import plotly.graph_objects as go
 import scipy.cluster.hierarchy as sch
 import scipy.spatial.distance as scd
 import sklearn.base as skb
 import sklearn.utils.validation as skv
 
+from skfolio.utils.fixes import create_dendrogram
 from skfolio.utils.stats import assert_is_distance, compute_optimal_n_clusters
 from skfolio.utils.tools import AutoEnum, default_asset_names
 
@@ -245,7 +245,7 @@ def plot_dendrogram(self, heatmap: bool = True) -> go.Figure:
             asset_names = default_asset_names(n_assets=n_assets)
 
         if not heatmap:
-            fig = ff.create_dendrogram(
+            fig = create_dendrogram(
                 np.ones(1),
                 distfun=lambda x: None,
                 linkagefun=lambda x: linkage_matrix,
@@ -264,7 +264,7 @@ def plot_dendrogram(self, heatmap: bool = True) -> go.Figure:
             return fig
 
         # Initialize figure by creating upper dendrogram
-        fig = ff.create_dendrogram(
+        fig = create_dendrogram(
             np.ones(1),
             orientation="bottom",
             distfun=lambda x: None,
@@ -277,7 +277,7 @@ def plot_dendrogram(self, heatmap: bool = True) -> go.Figure:
             fig["data"][i]["yaxis"] = "y2"
 
         # Create Side Dendrogram
-        side_dendrogram = ff.create_dendrogram(
+        side_dendrogram = create_dendrogram(
             np.ones(1),
             orientation="right",
             distfun=lambda x: None,

src/skfolio/utils/fixes/__init__.py

@@ -0,0 +1,3 @@
+from skfolio.utils.fixes._dendrogram import create_dendrogram
+
+__all__ = ["create_dendrogram"]