65 lines
1.7 KiB
Python
65 lines
1.7 KiB
Python
import csv, sys
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from lib2to3.pgen2.pgen import DFAState
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import plotly.express as px
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import plotly.io as pio
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import plotly.graph_objects as go
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filename = 'example_data/TachymeterTable_103.csv'
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# einfaches Beispiel: CSV direkt ausgeben:
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#with open(filename, newline='') as f:
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# reader = csv.reader(f)
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# try:
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# for row in reader:
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# print(row)
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# except csv.Error as e:
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# sys.exit('file {}, line {}: {}'.format(filename, reader.line_num, e))
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# Time,x,y,z,d,deltaT,SOG,RelTime,Beschleunigung,BeschleunigungDeltaTFix,ABSBeschleunigung
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class Tachymeter(object):
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def __init__(self, i, x, y, z, d, deltaT, SOG, RelTime, Beschleunigung, BeschleunigungDeltaTFix, ABSBeschleunigung):
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self.index = i
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self.x = x
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self.y = y
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self.z = z
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self.d = d
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self.deltaT = deltaT
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self.SOG = SOG
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self.RelTime = RelTime
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self.Beschleunigung = Beschleunigung
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self.BeschleunigungDeltaTFix = BeschleunigungDeltaTFix
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self.ABSBeschleunigung = ABSBeschleunigung
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def __init__(self, row, header):
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self.__dict__ = dict(zip(header, row))
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self.index = row
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data = list(csv.reader(open(filename, newline='')))
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tachies = [Tachymeter(i, data[0]) for i in data[1:]]
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# for tachy in tachies:
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# print(tachy.x)
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fig = dict({
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"data": [{"type": "bar",
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"x": [1, 2, 3],
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"y": [1, 3, 2]}],
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"layout": {"title": {"text": "A Figure Specified By Python Dictionary"}}
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})
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# pio.show(fig)
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# fig = px.line(tachies, x="x", y="x", title="Tachymeter Daten x, y")
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# fig.show()
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df = dict( {
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"x" : [ 1, 2, 3, 4, 5],
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"y" : [0.4, 2.3, 2.4, 2.7, 1.3]
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})
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fig = go.Figure(go.Line(x = df['x'], y = df['y'],
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name='Position (x/y)'))
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fig.show() |