corrected some features

nutrimorph.py

@@ -120,7 +120,7 @@ image = in_.ImageVerification(image, channel)
 # iv_.image_verification(image, channel)  # -> PySide2 user interface  # TODO: must return the modified image!
 # /!\ conflicts between some versions of PySide2 and Python3
 
-image = image[:, 512:, 512:]  # 512 # 562 # Just for development
+image = image[:, 800:, 800:]  # 512 # 562 # Just for development
 img_shape = image.shape
 
 #
@@ -415,13 +415,13 @@ for soma in somas:
     N_primary_ext = len(soma.graph_roots)  # number of primary edges = linked to the soma except the constructed ones from node soma to the roots
     N_sec_ext = N_ext - N_primary_ext  # number of secondary edges = not linked to the soma.
 
-    highest_degree = soma.skl_graph.fct_degree  # highest degree of the nodes except the soma
+    highest_degree = soma.skl_graph.max_degree  # highest degree of the nodes except the soma
     highest_degree_w_node = soma.skl_graph.highest_degree_w_nodes  # highest degree of the nodes with the node coordinates except the soma
     N_nodes_of_highest_degree = len(highest_degree_w_node[1])  # number of nodes of highest degree
     # min, mean and max degrees of non-leaves nodes
-    min_degree = soma.skl_graph.fct_degree_except_leaves(min)
-    mean_degree = soma.skl_graph.fct_degree_except_leaves(np_.mean)
-    max_degree = soma.skl_graph.fct_degree_except_leaves(max)
+    min_degree = soma.skl_graph.min_degree_except_leaves
+    mean_degree = soma.skl_graph.mean_degree_except_leaves
+    max_degree = soma.skl_graph.max_degree_except_leaves
 
     print(
         f"\n-- Extensions\n"

sklgraph/skl_fgraph.py

@@ -49,12 +49,24 @@ class skl_graph_t(skl_nfgraph_t):
         return self.number_of_edges()
 
     @property
-    def fct_degree(self, fct: callable = max) -> int:
-        return fct(list(degree for node, degree in self.degree if "S" not in node))
+    def max_degree(self) -> int:
+        return max(degree for node, degree in self.degree if "S" not in node)
 
     @property
-    def fct_degree_except_leaves(self, fct: callable = max) -> int:
-        return fct(list(degree for node, degree in self.degree if "S" not in node and degree != 1))
+    def max_degree_except_leaves(self) -> int:
+        return max(degree for node, degree in self.degree if "S" not in node and degree != 1)
+
+    @property
+    def min_degree_except_leaves(self) -> int:
+        return min(degree for node, degree in self.degree if "S" not in node and degree != 1)
+
+    @property
+    def mean_degree_except_leaves(self) -> int:
+        return np_.mean(list(degree for node, degree in self.degree if "S" not in node and degree != 1))
+
+    @property
+    def median_degree_except_leaves(self) -> int:
+        return np_.median(list(degree for node, degree in self.degree if "S" not in node and degree != 1))
 
     @property
     def highest_degree_w_nodes(self) -> Tuple[int, List[str]]: