troppi spazi, troppo disordine

Fotovoltaico.py

@@ -4,6 +4,7 @@ import subprocess
 import signal
 import time
 import plotly.express as px
+import plotly.graph_objects as go
 import pandas as pd
 
 location_ita = 'Biella' # location in Italian
@@ -96,8 +97,6 @@ path_export_hourly = path_export.replace('.csv', '_hourly.csv')
 # Esporta il file orario
 df_hourly = export_hourly_pv_productivity(result_ac_energies_to_csv_df, path_export_hourly)
 
-
-
 # Carica il file CSV orario
 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()
 
-
-
 # Raggruppa per mese e somma la produzione
 df_monthly = df.resample('M').sum()
 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)
 date_options = df.index.normalize().unique()