Added cluster persistence log plots

 
-from pdb import set_trace as st
+#from pdb import set_trace as st
 import os
 import matplotlib.pyplot as plt
+from numpy import log10
 
 
 def analyze_pair(group_anlized, gropus_dir, rev, eigenvectors):
@@ -102,14 +103,14 @@ for i, p in enumerate(plots):
     else:
         width = 2
         mark = ""
-    ax1.plot(p['part'], p['n_tfs'], c=cmap(i), linewidth=width, marker=mark,
+    ax1.plot(p['part'], log10(p['n_tfs']), c=cmap(i), linewidth=width, marker=mark,
                                                 label=" ".join(p['tfs'][0]))
 
 #ax1.scatter(x[40:],y[40:], s=10, c='r', marker="o", label='second')
 plt.legend(loc='upper right')
 plt.title("TF pair persistence through partitions of model resolution")
 plt.xlabel("Partition")
-plt.ylabel("Number of TFs")
+plt.ylabel("Number of TFs (log_10)")
 plt.show()
 
 #print(TFs.keys())