ref

strainy/clustering/cluster.py

@@ -51,7 +51,7 @@ def clusters_vis_stats(G, cl, clN, uncl, edge, I):
     plt.close()
 
     # Calculate statistics
-    logger.debug("Summary for: %s" + edge)
+    logger.debug("Summary for: " + edge)
     logger.debug("Clusters found: " + str(clN))
     logger.debug("Reads unclassified: " + str(uncl))
     logger.debug("Number of reads in each cluster: ")
@@ -99,6 +99,10 @@ def cluster(i, flye_consensus):
         m.to_csv("%s/adj_M/adj_M_%s_%s_%s.csv" % (StRainyArgs().output_intermediate, edge, I, StRainyArgs().AF))
     logger.info("### Removing overweighed egdes...")
     m = matrix.remove_edges(m, R)
+
+    #m1 = m
+    m.columns = range(0,len(cl['ReadName']))
+    m.index=range(0,len(cl['ReadName']))
     # BUILD graph and find clusters
     logger.info("### Creating graph...")
     G = gfa_ops.from_pandas_adjacency_notinplace(matrix.change_w(m.transpose(), R))