Beispiel für Auswertung der Parkplatzbelegung in Scharbeutz

parkplatz.py

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np

df_P1 = pd.read_csv('https://opendata.zitsh.de/data/scharbeutz/Parkplatz_Haffkrug_P1_2020-09-23.csv',sep=';',decimal=',') 
df_P1['timestamp'] = pd.to_datetime(df_P1['timestamp'])

df_P2 = pd.read_csv('https://opendata.zitsh.de/data/scharbeutz/Parkplatz_Scharbeutz_P2_2020-09-23.csv',sep=';',decimal=',') 
df_P2['timestamp'] = pd.to_datetime(df_P2['timestamp'])

df_P3 = pd.read_csv('https://opendata.zitsh.de/data/scharbeutz/Parkplatz_Scharbeutz_P3_2020-09-23.csv',sep=';',decimal=',') 
df_P3['timestamp'] = pd.to_datetime(df_P3['timestamp'])

df_P4 = pd.read_csv('https://opendata.zitsh.de/data/scharbeutz/Parkplatz_Scharbeutz_P4_2020-09-23.csv',sep=';',decimal=',') 
df_P4['timestamp'] = pd.to_datetime(df_P4['timestamp'])

df_Badeweg = pd.read_csv('https://opendata.zitsh.de/data/scharbeutz/Parkplatz_Scharbeutz_Badeweg_2020-09-23.csv',sep=';',decimal=',') 
df_Badeweg['timestamp'] = pd.to_datetime(df_Badeweg['timestamp'])

df_Strandallee = pd.read_csv('https://opendata.zitsh.de/data/scharbeutz/Parkplatz_Scharbeutz_Parkbuchten_Strandallee_II_2020-09-23.csv',sep=';',decimal=',') 
df_Strandallee['timestamp'] = pd.to_datetime(df_Strandallee['timestamp'])

fig, ax = plt.subplots(figsize=(8, 4))
ax.plot( 'timestamp', 'value', data=df_P1, marker='', linewidth=2)
ax.plot( 'timestamp', 'value', data=df_P2, marker='', linewidth=2)
ax.plot( 'timestamp', 'value', data=df_P3, marker='',  linewidth=2)
ax.plot( 'timestamp', 'value', data=df_P4, marker='', linewidth=2)
ax.plot( 'timestamp', 'value', data=df_Badeweg, marker='', linewidth=2)
ax.plot( 'timestamp', 'value', data=df_Strandallee, marker='', linewidth=2)