diff --git a/Plotting/PlotData.py b/Plotting/PlotData.py
index 52d2aaa..f10a44c 100644
--- a/Plotting/PlotData.py
+++ b/Plotting/PlotData.py
@@ -1,100 +1,102 @@
 import Functions
 import os
 import LoadData
 import matplotlib.pyplot as plt
 import matplotlib
 import numpy as np
 from scipy import signal
 
 from matplotlib.ticker import EngFormatter
 
 from ipywidgets import interact
 import numpy as np
 
 from bokeh.io import push_notebook
 from bokeh.plotting import figure, show, output_notebook
 from bokeh.models import FuncTickFormatter, NumeralTickFormatter
 
 # Needed for plotting in jupyter
 from bokeh.resources import INLINE
 import bokeh.io
 bokeh.io.output_notebook(INLINE)
 
 import math
 
 Amp = EngFormatter(unit='A', places=2)
 Time = EngFormatter(unit='s', places=2)
 Volt = EngFormatter(unit='V', places=2)
 Cond = EngFormatter(unit='S', places=2)
 
 
 def custom_formatterA():
     units = [('m', 1e-3),
              ('µ', 1e-6),
              ('n', 1e-9),
              ('p', 1e-12)]
     if tick == 0:
         return '0'
     for u in units:
         if Math.abs(tick) >= u[1]:
             return '{0:.1f} {}A'.format(tick / u[1], u[0]) #Note, Javascript Math
     return '{:.2E}'.format(tick)
 
 def custom_formattersec():
     units = [
         ('µs', 1e6),
         ('ms', 1e3),
         ('s', 1.0),
         ('min', 1/60),
         ('hour', 1/3600),
     ]
     for u in units:
         if tick <= 100/u[1]:
             return '{0:.1f}{}'.format(tick * u[1], u[0])
 
 def SimpleTracePlot(filename, lowPass = 10e3):
     loadedData = LoadData.OpenFile(filename,lowPass,True) #, ChimeraLowPass, True, CutTraces)
     if loadedData['samplerate'] > lowPass:
         output = Functions.LowPass(loadedData['i1'], loadedData['samplerate'], lowPass)
         FullTrace = output['data']
         samplerate = output['samplerate']
     else:
         FullTrace = loadedData['i1']
         samplerate = loadedData['samplerate']
 
     output_notebook()
 
     p = figure(plot_height=300, plot_width=900,tools='pan,box_zoom,xwheel_zoom,reset,save', active_scroll='xwheel_zoom')
 
     times=np.linspace(0, len(FullTrace) / samplerate, num=len(FullTrace))
     p.line(times,FullTrace)
 
     p.xaxis.axis_label = 'time (s)'
     p.yaxis.axis_label = 'current (A)'
 
     p.yaxis[0].formatter = FuncTickFormatter.from_py_func(custom_formatterA)
 
     p.title.text = os.path.basename(filename)
 
     show(p)
 
 def PlotPSD(inputdata):
     if os.path.isfile(inputdata):
-        loadedData = LoadData.OpenFile(inputdata, approxImpulseResponse=True) #, ChimeraLowPass, True, CutTraces)
+        filename = inputdata
+        loadedData = LoadData.OpenFile(filename, approxImpulseResponse=True) #, ChimeraLowPass, True, CutTraces)
     else:
+        filename = ''
         loadedData = inputdata
     frequencies, P_den = Functions.GetPSD(loadedData)
 
     output_notebook()
 
     p = figure(plot_height=300, plot_width=900, y_axis_type="log", tools='pan,box_zoom,xwheel_zoom,reset,save')
 
     p.line(frequencies,P_den*1e24)
 
     p.xaxis.axis_label = 'Frequencies (Hz)'
     p.yaxis.axis_label = 'PSD ($frac{pA^2}{Hz}$)'
 
     p.title.text = 'PSD :' + os.path.basename(filename)
 
     show(p)