Index: fact/tools/pyscripts/sandbox/dneise/gain/dc_hist.py
===================================================================
--- fact/tools/pyscripts/sandbox/dneise/gain/dc_hist.py	(revision 13446)
+++ fact/tools/pyscripts/sandbox/dneise/gain/dc_hist.py	(revision 13446)
@@ -0,0 +1,49 @@
+#!/usr/bin/python -tti
+#
+# 
+
+import sys
+import numpy as np
+import matplotlib.pyplot as plt
+
+if len(sys.argv) > 1:
+    npz_file = np.load(sys.argv[1])
+else:
+    print 'I need a filename'
+    sys.exit(0)
+
+print npz_file.files
+
+# sanitiy check for gain npz files
+# 
+expected_filenames = [
+    'result_peak_positions',
+    'result_peak_unfiltered_height',
+    'result_peak_smoothed_height']
+
+abort = False
+for fn in expected_filenames:
+    if not fn in npz_file.files:
+        print 'coulnd not find', fn, 'in ', sys.argv[1]
+        print 'This is probably no gain-npz-file ...'
+        print 'Aborting...'
+        abort = True
+if abort:
+    print npz_file.files
+    sys.exit(1)
+
+data = npz_file['result_peak_smoothed_height']
+data = np.nan_to_num(data)
+
+plt.ion()
+fig = plt.figure()
+
+for i in range(data.shape[1]): # this is a loop over a pixel
+    plt.cla()
+    plt.grid(True)
+    plt.title('Pixel ' + str(i))
+    plt.xlabel('darc count amplitude mV')
+    plt.ylabel('rate')
+    contents,bins,patches = plt.hist(data[:,i,:].flatten(), range=(0,100), bins=200, align='left', histtype='step')
+    #break
+    raw_input('')