Improved docs. Updated version

Author: lucasimi

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "tda-mapper"
-version = "0.11.0"
+version = "0.11.1"
 description = "A simple and efficient Python implementation of Mapper algorithm for Topological Data Analysis"
 readme = "README.md"
 authors = [{ name = "Luca Simi", email = "[email protected]" }]

src/tdamapper/_plot_plotly.py

@@ -57,7 +57,7 @@ def plot_plotly(
     mapper_plot,
     width: int,
     height: int,
-    node_size: Optional[Union[int, List[int]]] = DEFAULT_NODE_SIZE,
+    node_size: Optional[Union[int, float, List[Union[int, float]]]] = DEFAULT_NODE_SIZE,
     colors=None,
     title: Optional[Union[str, List[str]]] = None,
     agg=np.nanmean,

src/tdamapper/plot.py

@@ -167,8 +167,10 @@ def plot_plotly(
             node in the graph, useful for highlighting different features of
             the data.
         :type colors: array-like of shape (n,) or list-like of size n
-        :param node_size: A scaling factor for node size. Defaults to 1.
-        :type node_size: float, optional
+        :param node_size: A scaling factor for node size. When node_size is a
+            list, the figure will display a slider with the specified values.
+            Defaults to 1.
+        :type node_size: int, float or list, optional
         :param agg: A function used to aggregate the `colors` array over the
             points within a single node. The final color of each node is
             obtained by mapping the aggregated value with the colormap `cmap`.