erste Versuche Python / Plotly

ReadMe.md

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+# Manöverdaten Auswertung
+
+___
+
+## Installation
+
+`pip install plotly`
+
+## Dokumentation
+
+https://www.geeksforgeeks.org/python-plotly-tutorial/
+
+

tachymeter.py

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+import csv, sys
+from lib2to3.pgen2.pgen import DFAState
+import plotly.express as px
+import plotly.io as pio
+import plotly.graph_objects as go
+
+filename = 'example_data/TachymeterTable_103.csv'
+
+# einfaches Beispiel: CSV direkt ausgeben:
+#with open(filename, newline='') as f:
+#    reader = csv.reader(f)
+#    try:
+#        for row in reader:
+#            print(row)
+#    except csv.Error as e:
+#        sys.exit('file {}, line {}: {}'.format(filename, reader.line_num, e))
+
+
+# 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):
+        self.index = i
+        self.x = x
+        self.y = y
+        self.z = z
+        self.d = d
+        self.deltaT = deltaT
+        self.SOG = SOG
+        self.RelTime = RelTime
+        self.Beschleunigung = Beschleunigung
+        self.BeschleunigungDeltaTFix = BeschleunigungDeltaTFix
+        self.ABSBeschleunigung = ABSBeschleunigung
+
+    def __init__(self, row, header):
+        self.__dict__ = dict(zip(header, row))
+        self.index = row
+
+
+data = list(csv.reader(open(filename, newline='')))
+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"}}
+})
+
+# pio.show(fig)
+
+# fig = px.line(tachies, x="x", y="x", title="Tachymeter Daten x, y")
+# fig.show()
+
+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()