@@ -0,0 +1,43 @@
+import sys
+import os
+import glob
+import numpy as np
+from pyMCDS import pyMCDS
+import matplotlib.pyplot as plt
+
+argc = len(sys.argv)-1
+print("# args=",argc)
+
+if (argc < 1):
+#  data_dir = int(sys.argv[kdx])
+  print("Usage: provide output subdir")
+  sys.exit(-1)
+
+#data_dir = 'output'
+kdx = 1
+data_dir = sys.argv[kdx]
+print('data_dir = ',data_dir)
+os.chdir(data_dir)
+#xml_files = glob.glob('output/output*.xml')
+xml_files = glob.glob('output*.xml')
+os.chdir('..')
+xml_files.sort()
+#print('xml_files = ',xml_files)
+
+ds_count = len(xml_files)
+print("----- ds_count = ",ds_count)
+mcds = [pyMCDS(xml_files[i], data_dir) for i in range(ds_count)]  # spews lots of prints
+
+tval = np.linspace(0, mcds[-1].get_time(), ds_count)
+print('tval= ',tval)
+
+#print(mcds[0].get_substrate_names())
+# ['virion', 'assembled virion', 'interferon 1', 'pro-inflammatory cytokine', 'chemokine', 'debris', 'pro-pyroptosis cytokine', 'anti-inflammatory cytokine', 'collagen']
+
+f = np.array([ (mcds[idx].get_concentrations('Ig')).sum()  for idx in range(ds_count)] )
+
+plt.plot(tval,f)
+plt.title(data_dir + ": Ig (sum)")
+plt.xlabel("time (mins)")
+#plt.savefig(data_dir + '.png')
+plt.show()