diff --git a/RingDown.py b/RingDown.py
index 532eb11..f2a2179 100644
--- a/RingDown.py
+++ b/RingDown.py
@@ -11,8 +11,8 @@ for f in list_files:
     data_iter = csv.reader(open(f, 'r'), delimiter = ',', quotechar = '"')
     for i in range(2):
         data_iter.next()
-    temp_data = [value for value in data_iter]      #if ends with a number
-    #temp_data = [value[:-1] for value in data_iter]#if ends with a comma
+    #temp_data = [value for value in data_iter]      #if ends with a number
+    temp_data = [value[:-1] for value in data_iter]#if ends with a comma
     data.extend(temp_data)
 
 data = np.asarray(data, dtype = float)
@@ -30,6 +30,12 @@ def func(t, tau, A, w , a, b):
 popt, pcov = curve_fit(func, data[data[:,0]>=0,0], data[data[:,0]>=0,1], p0 = [1e-5, 1e-2, 1e5, 1e10, 1e-4], maxfev=10000)
 yfit = func(data[data[:,0]>=0,0], *popt)
 
+tau = float(popt[0])
+Q = np.pi*299792458*tau/(2.*140e-3)
+
+#print(np.sqrt(np.diag(pcov)))
+print(tau, Q)
+
 plt.plot(data[data[:,0]>=0,0], yfit, label ='fit')
 
 plt.xlabel('t')
@@ -37,9 +43,3 @@ plt.ylabel('Intensity')
 plt.grid(which='both')
 plt.legend()
 plt.show()
-
-tau = float(popt[0])
-Q = np.pi*299792458*tau/(2.*140e-3)
-
-#print(np.sqrt(np.diag(pcov)))
-print(tau, Q)