diff --git a/PlotGTau_Voltage_SaveAsVector.py b/PlotGTau_Voltage_SaveAsVector.py
new file mode 100644
index 0000000..50dc314
--- /dev/null
+++ b/PlotGTau_Voltage_SaveAsVector.py
@@ -0,0 +1,69 @@
+from sys import platform as sys_pf
+
+if sys_pf == 'darwin':
+    import matplotlib
+
+    matplotlib.use("TkAgg")
+
+import numpy as np
+import pandas as pd
+import scipy.signal as sig
+import Functions as f
+import shelve
+from sklearn.mixture import GaussianMixture as GMM
+import os
+import matplotlib.pyplot as plt
+import matplotlib
+import h5py
+import seaborn as sns
+
+from Plotting import PlotData
+# -*- coding: utf-8 -*-
+
+
+
+import NanoporeClasses
+
+from Plotting import EventPlots
+import importlib
+importlib.reload(EventPlots)
+from bokeh.io import export_svgs
+import EventDetection
+
+TLfolder = r'/Volumes/lben-archives/2019 - CURRENT/Mukesh_Archives/Axopatch200B/30102019/TLfiles'
+
+
+extension='*.dat'
+coeff = {'a': 0.999,
+         'E': 0,
+         'S': 5,
+         'maxEventLength': 50e-3,
+         'minEventLength': 100e-6,
+         'dt': 25,
+         'hbook': 1,
+         'delta': 1.2e-9,
+         'ChimeraLowPass': 10e3}
+
+Data = EventDetection.run(TLfolder, newExtension=extension, newCoefficients=coeff, verboseLevel=0)
+
+CUSUMevents = Data.GetEventTypes('CUSUM')
+
+CUSUMdata = NanoporeClasses.AllEvents()
+CUSUMdata.AddEvent(CUSUMevents)
+
+
+(p, ph, pv) = EventPlots.PlotGTauVoltageOld(CUSUMdata, voltageLimits = [0.49, 0.51],
+                           xLim = [0, 1e-3], yLim = [0, 4e-9],
+                           showCurrent = True)
+
+
+
+
+
+name = 'Test'
+plots = [p, ph, pv]
+
+for i, plot in enumerate(plots):
+    print(i)
+    plot.output_backend = "svg"
+    export_svgs(plot, filename=name + str(i) + "_plot_500mV_DevA.svg")
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