ReadMe.md

@@ -5,8 +5,6 @@ ___
 ## Installation
 
 `pip install plotly`
-`pip install pandas`
-`pip install scipy`
 
 ## Dokumentation
 

misc/simple_1.py

@@ -1,36 +0,0 @@
-# Kommentar
-
-# Strings
-
-bla = 'das ist ein schöner Schdring\n \
-    nächste Zeile'
-print(bla)
-print(bla[2:10]) # Substring
-print(bla[:3] + bla[-6:]) # erstes und letztes Wort
-
-# List
-werte = [ 3, 6, 23, 34, 56.3, 35.6]
-print(werte)
-werte.append(23) # returns none
-print(werte)
-werte[2] = 4 # mutable, with index
-print(werte)
-
-# Fibonacci
-a, b = 0, 1 # multiple assignment
-while a < 10:
-    print(a, end=':') # Schleifenbody ist eingerückt
-    a, b = b, a + b
-
-print("\n -- Primzahlensuche:")
-
-# Primzahlensuche mit for .. else!
-for n in range(2, 10):
-    for x in range(2, n):
-        if n % x == 0:
-            print(n, "equals", x, "*", n//x)
-            break
-    else:
-        # keinen Faktor gefunden (innere Schleife)
-        print(n, "ist Primzahl")
-

misc/simple_2.py

@@ -1,34 +0,0 @@
-point = (3, 0)
-match point:
-    case (0,0):
-        print("Origin")
-    case (0, y):
-        print(f"Y={y}")
-    case (x, 0):
-        print(f"X={x}")
-    case (x, y):
-        print(f"X={x}, Y={y}")
-    case _:
-        raise ValueError("no point")
-
-
-def fib(n):
-    """Print a fibonacci series up to n.""" # this is the doc string
-    result = []
-    a, b = 0, 1
-    while a < n:
-        result.append(a)
-        a, b = b, a + b
-    return result
-
-print(fib(2000))
-
-def Collector(a, L=[]): # L wird hier nur einmal initialisiert!
-    L.append(a)
-    return L
-
-print(Collector(2))
-print(Collector(58))
-print(Collector("Gurkensalat"))
-
-

misc/werkzeug_test.py

@@ -1,31 +0,0 @@
-from contextlib import nullcontext
-import imp
-import os
-
-from venv import create
-from werkzeug.test import create_environ
-from werkzeug.serving import run_simple
-
-from werkzeug.urls import url_parse
-from werkzeug.wrappers import Request, Response
-from werkzeug.routing import Map, Rule
-from werkzeug.exceptions import HTTPException, NotFound
-from werkzeug.middleware.shared_data import SharedDataMiddleware
-from werkzeug.utils import redirect
-
-
-
-#environ = create_environ('/bla', 'http://localhost:8999')
-#environ['PATH_INFO']
-
-class Device(object):
-
-    def __init__(self, config):
-        pass
-
-    def dispatch_request(self, request):
-        return Response('got it')
-
-app = Device(nullcontext)
-
-run_simple('heupferd', 8999, app, use_reloader=True)

misc/wifi.py

@@ -1,11 +0,0 @@
-#https://www.geeksforgeeks.org/how-to-find-available-wifi-networks-using-python/
-
-import subprocess
-
-devices = subprocess.check_output(['netsh', 'wlan', 'show', 'network'])
-devices = devices.decode('ascii')
-devices = devices.replace("\r", "") 
-
-print(devices)
-
-

tachymeter.py

@@ -3,9 +3,6 @@ from lib2to3.pgen2.pgen import DFAState
 import plotly.express as px
 import plotly.io as pio
 import plotly.graph_objects as go
-import numpy
-import pandas
-from scipy import signal
 
 filename = 'example_data/TachymeterTable_103.csv'
 
@@ -97,12 +94,7 @@ tachies = [Tachymeter(i, data[0]) for i in data[1:]]
 
 # pio.show(fig)
 
-# fig = px.line(x=t.index, y=t.SOG, title="SOG")
+fig = px.line(x=t.index, y=t.SOG, title="SOG")
-
-fig = go.Figure()
-fig.add_trace(go.Scatter(x=t.index, y=t.SOG, mode='lines', name='SOG'))
-fig.add_trace(go.Scatter(x=t.index, y=signal.savgol_filter(t.SOG, 53, 3), mode='lines', name='Smooth SOG'))
-fig.write_html("smooth.html")
 fig.show()
 
 #df = dict( {