PCTOENER/CACER-simulator
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troppi spazi, troppo disordine

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Andrea
2025-06-23 12:21:49 +02:00
parent e7a8b08bb9
commit 2fe8df9db2
1 changed files with 1 additions and 7 deletions
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Fotovoltaico.py
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@@ -4,6 +4,7 @@ import subprocess
import signal import signal
import time import time
import plotly.express as px import plotly.express as px
import plotly.graph_objects as go
import pandas as pd import pandas as pd
location_ita = 'Biella' # location in Italian location_ita = 'Biella' # location in Italian
@@ -96,8 +97,6 @@ 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)
# 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)
@@ -114,16 +113,11 @@ fig = px.line(
) )
fig.show() fig.show()
# Raggruppa per mese e somma la produzione # Raggruppa per mese e somma la produzione
df_monthly = df.resample('M').sum() df_monthly = df.resample('M').sum()
df_monthly['Mese'] = df_monthly.index.strftime('%B %Y') # Nome mese e anno df_monthly['Mese'] = df_monthly.index.strftime('%B %Y') # Nome mese e anno
import plotly.graph_objects as go
# Estrai tutte le date disponibili (solo la parte di data, senza ora) # Estrai tutte le date disponibili (solo la parte di data, senza ora)
date_options = df.index.normalize().unique() date_options = df.index.normalize().unique()