silence pandas index constructor futurewarning

pydtnsim/kmeans.py

 """AGKmeans code."""
 import pandas as pd
 import networkx as nx
+import warnings
 __author__ = 'Fatemeh Zare<faz361@mail.usask.ca>'
 """
  Advanced graph-based k-means is an appropriate algorithm for the datasets
@@ -21,6 +22,7 @@ def agkmeans(graph, k):
     index_list1 = []
     for nodei in graph.nodes:
         index_list1.append(nodei)
+    warnings.simplefilter("ignore", FutureWarning, lineno=6982)         # catches pandas Index constructor warning
     df_initial = pd.DataFrame(columns=['node', 'degree', 'centroid'],
                               index=index_list1)
     df_initial = df_initial.reset_index(drop=True)