Add python script for log preparation

Documentation/Logaufbereitung.py

@@ -0,0 +1,71 @@
+import matplotlib.pyplot as plt
+import numpy as np
+import tkinter as tk
+from tkinter import filedialog
+import csv
+import re
+clean_vars = []    
+special_characters = "!@#$%^&*()_-+=<>,./?;:'\"[]{}\\|`~"
+translation_table = str.maketrans("", "", special_characters)
+
+root = tk.Tk()
+root.withdraw()
+
+file_path = filedialog.askopenfilename()
+#falsche Spaltenanzahl rausfiltern
+with open(file_path, 'r') as csvfile:
+    reader = csv.reader(csvfile, delimiter=',')
+
+    for row in reader:
+        # clean up your file here and append it to the list
+        if len(row)==7:
+            OK=1
+            #Zeilen mit korupten Daten rausschmeißen
+            for column in row:
+                try:
+                    myvar= int(column)
+
+                except:
+                    OK=0
+                    print("Bäh")
+                #clean_vars.append([char for char in column if char.isalnum()])
+            if OK:
+                clean_vars.append([char for char in row if char])
+
+#na=np.genfromtxt(file_path,delimiter=',',invalid_raise=False)
+
+na = np.asarray(clean_vars)
+
+na=na.astype(int)
+#print (na)
+x1=na[:,2:3]
+x2=na[:,4:5]
+x3=na[:,5:6]
+y=na[:,4:5]
+z=na[:,3:4]
+z1=na[:,3:4]
+#fig, axs = plt.subplots(3,sharex='all')
+
+fig = plt.figure()
+
+gs = fig.add_gridspec(3, hspace=0.1)
+axs = gs.subplots(sharex=True)
+plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1)
+fig.set_figwidth(10)
+fig.suptitle('EBiCS log plotter')
+
+axs[0].plot(x1, label="i_q ist")
+axs[0].plot(x2, label="i_q soll")
+axs[0].plot(x3, label="Pedal Position")
+#axs[2].plot(z1, label="i_q")
+axs[0].legend(bbox_to_anchor=(1.01, 0), loc="lower left",
+              mode="expand", borderaxespad=0)
+axs[1].plot(y,color='g', label="Wheeltime")
+axs[1].legend(bbox_to_anchor=(1.01, 0), loc="lower left",
+              mode="expand", borderaxespad=0)
+axs[2].plot(z,color='r', label="Torque")
+#axs[2].plot(z1,color='b', label="i_q")
+axs[2].legend(bbox_to_anchor=(1.01, 0), loc="lower left",
+              mode="expand", borderaxespad=0)
+
+plt.show()