muss nach float konvertieren damit es funktioniertgit status

tachymeter.py

@@ -15,12 +15,44 @@ filename = 'example_data/TachymeterTable_103.csv'
 #    except csv.Error as e:
 #        sys.exit('file {}, line {}: {}'.format(filename, reader.line_num, e))
 
+class Tachies(object):
+    """This class contains lists of values created from csv rows"""
+    def __init__(self):
+        self.index = []
+        self.Time = []
+        self.x = []
+        self.y = []
+        self.z = []
+        self.d = []
+        self.deltaT = []
+        self.SOG = []
+        self.RelTime = []
+        self.Beschleunigung = []
+        self.BeschleunigungDeltaTFix = []
+        self.ABSBeschleunigung = []
+
+    def appendRow(self, i, row, header):
+        aDict = dict(zip(header, row))
+        self.index.append(i)
+        self.Time.append(aDict["Time"])
+        self.x.append(aDict["x"])
+        self.y.append(aDict["y"])
+        self.z.append(aDict["z"])
+        self.d.append(aDict["d"])
+        self.deltaT.append(aDict["deltaT"])
+        self.SOG.append(float(aDict["SOG"]))
+        self.RelTime.append(aDict["RelTime"])
+        self.Beschleunigung.append(aDict["Beschleunigung"])
+        self.BeschleunigungDeltaTFix.append(aDict["BeschleunigungDeltaTFix"])
+        self.ABSBeschleunigung.append(aDict["ABSBeschleunigung"])
+
 
 # Time,x,y,z,d,deltaT,SOG,RelTime,Beschleunigung,BeschleunigungDeltaTFix,ABSBeschleunigung
 class Tachymeter(object):
 
-    def __init__(self, i, x, y, z, d, deltaT, SOG, RelTime, Beschleunigung, BeschleunigungDeltaTFix, ABSBeschleunigung):
+    def __init__(self, i, Time, x, y, z, d, deltaT, SOG, RelTime, Beschleunigung, BeschleunigungDeltaTFix, ABSBeschleunigung):
         self.index = i
+        self.Time = Time
         self.x = x
         self.y = y
         self.z = z
@@ -38,28 +70,42 @@ class Tachymeter(object):
 
 
 data = list(csv.reader(open(filename, newline='')))
+
+# Erzeugung einer Klasse Tachies und Hinzufügen aller Werte
+
+t = Tachies()
+i = 0
+for d in data[1:]:
+    t.appendRow(i, d, data[0])
+    i+=1
+
+# Erzeugung einer Liste von Klassen vom Typ Tachymeter
 tachies = [Tachymeter(i, data[0]) for i in data[1:]]
 
 # for tachy in tachies:
 #     print(tachy.x)
 
-fig = dict({
-    "data": [{"type": "bar",
-              "x": [1, 2, 3],
-              "y": [1, 3, 2]}],
-    "layout": {"title": {"text": "A Figure Specified By Python Dictionary"}}
-})
+#fig = dict({
+#    "data": [{"type": "bar",
+#              "x": [1, 2, 3],
+#              "y": [1, 3, 2]}],
+#    "layout": {"title": {"text": "A Figure Specified By Python Dictionary"}}
+#})
 
 # pio.show(fig)
 
-# fig = px.line(tachies, x="x", y="x", title="Tachymeter Daten x, y")
-# fig.show()
+fig = px.line(x=t.index, y=t.SOG, title="SOG")
+fig.show()
 
-df = dict( {
-    "x" : [ 1, 2, 3, 4, 5],
-    "y" : [0.4, 2.3, 2.4, 2.7, 1.3]
-})
+#df = dict( {
+#    "x" : [ 1, 2, 3, 4, 5],
+#    "y" : [0.4, 2.3, 2.4, 2.7, 1.3]
+#})
 
-fig = go.Figure(go.Line(x = df['x'], y = df['y'],
-                  name='Position (x/y)'))
-fig.show()
+
+#fig = go.Figure(go.Line(x = t.index, y = t.SOG, name='SOG'))
+#fig.update_layout(title='Apple Share Prices over time (2014)',
+#                   plot_bgcolor='rgb(230, 230,230)',
+#                   showlegend=True)
+
+#fig.show()