PCTOENER/CACER-simulator
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modifiche al metodo di importazione delle librerie per lo script di simulazione FV

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This commit is contained in:
Andrea
2025-06-23 12:17:22 +02:00
parent d9aff0b4b9
commit c91ee50b7d
1 changed files with 3 additions and 4 deletions
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7
Fotovoltaico.py
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@@ -3,6 +3,8 @@ from src.Functions_General import *
import subprocess import subprocess
import signal import signal
import time import time
import plotly.express as px
import pandas as pd
location_ita = 'Biella' # location in Italian location_ita = 'Biella' # location in Italian
capacity = 100 # kWp capacity = 100 # kWp
@@ -55,8 +57,6 @@ print("Somma totale:",sum(result_ac_energies_to_csv_df.gen_pv_100_kWp)) # print
result_ac_energies_to_csv_df.to_csv(path_export, encoding='utf-8') result_ac_energies_to_csv_df.to_csv(path_export, encoding='utf-8')
def generate_grafico_torri_df(dataframe, graphTitle): def generate_grafico_torri_df(dataframe, graphTitle):
# GENERAZIONE GRAFICO
import plotly.express as px
# Supponendo che la colonna di interesse sia 'gen_pv_100_kWp' # Supponendo che la colonna di interesse sia 'gen_pv_100_kWp'
fig = px.line( fig = px.line(
dataframe, dataframe,
@@ -83,8 +83,7 @@ path_export_hourly = path_export.replace('.csv', '_hourly.csv')
# Esporta il file orario # Esporta il file orario
df_hourly = export_hourly_pv_productivity(result_ac_energies_to_csv_df, path_export_hourly) df_hourly = export_hourly_pv_productivity(result_ac_energies_to_csv_df, path_export_hourly)
import pandas as pd
import plotly.express as px
# Carica il file CSV orario # Carica il file CSV orario
df = pd.read_csv('files/gen_pv/output_gen_pv_hourly.csv', index_col=0, parse_dates=True) df = pd.read_csv('files/gen_pv/output_gen_pv_hourly.csv', index_col=0, parse_dates=True)