PErsistencia para graficar lista

@@ -3,7 +3,7 @@
 import os
 import os
 import matplotlib.pyplot as plt
 import matplotlib.pyplot as plt
 from numpy import log10
 from numpy import log10
-
+from pdb import set_trace as st
 
 
 def analyze_pair(group_anlized, gropus_dir, rev, eigenvectors, fo):
 def analyze_pair(group_anlized, gropus_dir, rev, eigenvectors, fo):
     dic_part = {}
     dic_part = {}
@@ -72,6 +72,9 @@ def get_cmap(n, name='hsv'):
     return plt.cm.get_cmap(name, n)
     return plt.cm.get_cmap(name, n)
 
 
 
 
+plotting = False
+out_file = "persistence.csv"
+log = False
 rev = 120
 rev = 120
 ff = "report_persistence_.csv"
 ff = "report_persistence_.csv"
 eigenvectors = "one-by-one/eigen_vectors/eigenBOs_120-eigens.txt"
 eigenvectors = "one-by-one/eigen_vectors/eigenBOs_120-eigens.txt"
@@ -95,22 +98,37 @@ for g in groups_analyzed:
             rev=rev, eigenvectors=eigenvectors, fo=ff)
             rev=rev, eigenvectors=eigenvectors, fo=ff)
     plots.append(partition)
     plots.append(partition)
 
 
-fig = plt.figure()
-ax1 = fig.add_subplot(111)
-
-for i, p in enumerate(plots):
-    if " ".join(p['tfs'][0]) == marked:
-        width = 6
-        mark = "D"
-    else:
-        width = 2
-        mark = ""
-
-    ax1.plot(p['part'], log10(p['n_tfs']), c=cmap(i), linewidth=width,
-                    marker=mark, label=" ".join(p['tfs'][0]))
-
-plt.legend(loc='upper right')
-plt.title("TF pair persistence through partitions of model resolution")
-plt.xlabel("Partition")
-plt.ylabel("Number of TFs (log_10)")
-plt.show()
+if plotting:
+    fig = plt.figure()
+    ax1 = fig.add_subplot(111)
+
+    for i, p in enumerate(plots):
+        if " ".join(p['tfs'][0]) == marked:
+            width = 6
+            mark = "D"
+        else:
+            width = 2
+            mark = ""
+
+        ax1.plot(p['part'], log10(p['n_tfs']) if log else p['n_tfs'],
+                    c=cmap(i), linewidth=width, marker=mark,
+                    label=" ".join(p['tfs'][0]))
+
+    plt.legend(loc='upper right')
+    plt.title("TF pair persistence through partitions of model resolution")
+    plt.xlabel("Partition")
+    plt.ylabel("Number of TFs (log_10)")
+    plt.show()
+else:
+    import csv
+
+    lists = []
+    pn = [' '] + list(plots[0]['part'])
+    lists.append(pn)
+    for p in plots:
+        lists.append([p['tfs'][0]] + list(p['n_tfs']))
+        lists.append([p['tfs'][0]] + list(p['tfs']))
+
+    with open(out_file, 'w') as f:
+        writer = csv.writer(f, delimiter='\t')
+        writer.writerows(zip(*lists))