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@echo off
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CALL manage_interpreter.bat activate_interpreter
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python %PROJECT_LIB%\dia.py
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CALL manage_interpreter.bat deactivate_interpreter
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@echo off
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call setenv.bat
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start
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call setenv.bat
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if not exist %PROJECT%\.venv (
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ECHO Initialisiere Python virtual environment...
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python -m venv %PROJECT%\.venv --upgrade-deps
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ECHO Erfolgreich.
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call %PROJECT%\.venv\Scripts\activate.bat
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ECHO Installiere erforderliche Python Packages...
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pip install -r %PROJECT_LIB%/requirements.txt -q
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ECHO Erfolgreich
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deactivate
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) ELSE (
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ECHO Erforderliche Python Packages bereits installiert!
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)
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@echo off
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CALL setenv.bat
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IF DEFINED NETWORK_INTERPRETER_PATH (
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goto %~1_network
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) ELSE (
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goto %~1_local
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)
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:activate_interpreter_local
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IF NOT EXIST %PROJECT%\.venv CALL %PROJECT_BIN%\install_py.bat
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CALL %PROJECT%\.venv\Scripts\activate.bat
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goto :eof
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:deactivate_interpreter_local
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deactivate
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goto :eof
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:activate_interpreter_network
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SET OLD_PATH=%PATH%
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SET PATH=%NETWORK_INTERPRETER_PATH%;%PATH%
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goto :eof
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:deactivate_interpreter_network
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SET PATH=%OLD_PATH%
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SET OLD_PATH=
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SET NETWORK_INTERPRETER_PATH=
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goto :eof
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@echo off
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REM ~dp0 steht für das Verzeichnis, in der diese Datei liegt
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pushd %~dp0\..
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set PROJECT=%cd%
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set PROJECT_BIN=%PROJECT%\bin
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set PROJECT_CFG=%PROJECT%\cfg
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set PROJECT_LIB=%PROJECT%\lib
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set PROJECT_DATA=%PROJECT%\data
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set PROJECT_WORK=%PROJECT%\work
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set PROJECT_LOG=%PROJECT%\log
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if not exist %PROJECT%\work mkdir %PROJECT%\work
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if not exist %PROJECT%\log mkdir %PROJECT%\log
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if not exist %PROJECT%\data mkdir %PROJECT%\data
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+69
@@ -0,0 +1,69 @@
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import numpy as np
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import matplotlib.pyplot as plt
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import pandas as pd
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# Daten als DataFrame erstellen
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data = {
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"Datum": [
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"31.12.2024", "18.07.2024", "31.12.2023", "31.10.2023", "30.09.2023", "12.06.2023",
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"01.02.2023", "31.12.2022", "30.06.2022", "01.02.2022", "31.12.2021", "03.11.2021",
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"18.05.2021", "01.02.2021", "31.12.2020", "31.12.2019", "01.09.2019"
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],
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"Verbrauch (kWh)": [
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707, 608, 523, 472, 456, 432, 390, 364, 292, 267, 246, 218, 203, 189, 167, 95, 75
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],
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"Ablesungstyp": [
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"Netzbetreiber", "Kunden", "Netzbetreiber", "Netzbetreiber", "Netzbetreiber", "Kunden",
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"Netzbetreiber", "Netzbetreiber", "Netzbetreiber", "Netzbetreiber", "Kunden", "Kunden",
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"Kunden", "Netzbetreiber", "Netzbetreiber", "Netzbetreiber", "Maschinelle Schätzung"
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]
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}
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df = pd.DataFrame(data)
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df["Datum"] = pd.to_datetime(df["Datum"], format="%d.%m.%Y")
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df = df.sort_values("Datum")
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# Plot erstellen
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plt.figure(figsize=(12, 6))
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plt.plot(df["Datum"], df["Verbrauch (kWh)"], marker='o', label="Verbrauch (kWh)")
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# Beschriftungen und Titel
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plt.title("Verbrauchsentwicklung (kWh) über Zeit", fontsize=14)
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plt.xlabel("Datum", fontsize=12)
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plt.ylabel("Verbrauch (kWh)", fontsize=12)
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plt.grid(True, linestyle='--', alpha=0.6)
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plt.legend()
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plt.xticks(rotation=45)
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plt.tight_layout()
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# Plot anzeigen
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plt.show()
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# Differenzen zwischen den Verbrauchswerten berechnen
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df["Differenz (kWh)"] = df["Verbrauch (kWh)"].diff()
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df["Tage zwischen Ablesungen"] = df["Datum"].diff().dt.days
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# Durchschnittlicher täglicher Verbrauch berechnen
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df["Durchschnittlicher Tagesverbrauch (kWh)"] = df["Differenz (kWh)"] / df["Tage zwischen Ablesungen"]
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# Durchschnittlicher monatlicher Verbrauch (30 Tage) berechnen
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df["Durchschnittlicher Monatsverbrauch (kWh)"] = df["Durchschnittlicher Tagesverbrauch (kWh)"] * 30
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# Plot erstellen
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plt.figure(figsize=(12, 6))
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plt.plot(df["Datum"], df["Verbrauch (kWh)"], marker='o', label="Verbrauch (kWh)")
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plt.plot(df["Datum"], df["Durchschnittlicher Monatsverbrauch (kWh)"], marker='x', linestyle='--', label="Durchschnittlicher Monatsverbrauch (kWh)")
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# Beschriftungen und Titel
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plt.title("Verbrauchsentwicklung (kWh) mit durchschnittlichem Monatsverbrauch", fontsize=14)
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plt.xlabel("Datum", fontsize=12)
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plt.ylabel("Verbrauch (kWh)", fontsize=12)
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plt.grid(True, linestyle='--', alpha=0.6)
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plt.legend()
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plt.xticks(rotation=45)
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plt.tight_layout()
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# Plot anzeigen
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plt.show()
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@@ -0,0 +1,9 @@
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numpy==1.26.1
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pandas==2.1.1
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python-dateutil==2.8.2
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pytz==2023.3.post1
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six==1.16.0
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tzdata==2023.3
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et-xmlfile==1.1.0
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matplotlib==3.10.0
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openpyxl==3.1.2
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