AHBGOx.py

@@ -12,7 +12,6 @@ parser.add_argument("file", type = str, help="path/file were data is stored in")
 parser.add_argument('-hist', action='store_true', help = "makes histogramm of all channels")  # on/off flag
 parser.add_argument("-sum", action='store_true', help = "makes histogramms of BGOdiodes and sum (same as 'AHBGOC_vertical.py')")  # on/off flag
 parser.add_argument('-Itime', action='store_true', help = "if chosen, Itime is calculatet and printet to filename.Itime")  # on/off flag
-parser.add_argument('-dau', action='store_true', help = "if chosen, time and temperature of BGO are printet to filename.dau")  # on/off flag
 parser.add_argument("-mV", action='store_true', help = "if chosen, data will be kept in mV changed to keV otherwise")  # on/off flag
 parser.add_argument('-muon', action='store_true', help = "only select muon data")  # on/off flag
 parser.add_argument("-xray", action='store_true', help = "only select xray data")  # on/off flag
@@ -62,11 +61,6 @@ def main(x):
         outfile = open(fname, 'w')
         outfile.write(str(Itime))
         outfile.close()
-        
-    elif args.dau:
-        time,temp = find_timetemp()   
-        frame = pd.DataFrame({'time': time, 'T': temp})
-        frame.to_csv('histograms/'+filename+'.dau', sep = ' ', index = False)
 
     else:
         global thr
@@ -257,19 +251,6 @@ def find_Itime():
                 lasttime=time
     return Itime
 
-def find_timetemp():
-    time=[]
-    temp=[]
-    with fileinput.input(files=(file), encoding="utf-8", errors = 'ignore') as f:
-        for line in f:
-            l = line.split() 
-            if not 'EOF' in l and l[0] == 'H':
-                T = adc_to_T(int(l[8]))
-                time.append(l[1])
-                temp.append(T)
-    return time,temp
-
-
 def CmV(line, i):
     return int(line[3*i+5])/mV
 

test.py

@@ -5,28 +5,7 @@ Created on Wed Apr 10 13:16:52 2024
 
 @author: ava
 """
-import pandas as pd
+
 a = [0,1,2]
 a = a + [3,4]
-print(a)
+print(a)
-
-b = 6*[[30,40]]+[[50,90]]
-print(b)
-
-leer = [[],[],[]]
-
-leer[0].append("P1")
-leer[0].append("P2")
-leer[1].append(3.5)
-leer[1].append(1.0)
-
-d = {'P': [], 'mpv': [], 'err_mpv':[]}
-d['P'].append('P1')
-d['mpv'].append(2.4)
-d['err_mpv'].append(0.3)
-
-
-print(d)
-
-frame = pd.DataFrame(d)
-frame.to_csv('fitparameters/'+'test'+'_mpv_sums.txt', sep = ' ', index = False)