test = Functions_for_TSP.update_meteo(milano, torino)
test.to_csv('storico_milano_aggiornato.txt', sep="\t", index=False)
missing2 = Functions_for_TSP.finding_missing_dates(global_dates, test)
missingca = Functions_for_TSP.finding_missing_dates(global_dates, ca)
missingpa = Functions_for_TSP.finding_missing_dates(global_dates, pa)
missingrc = Functions_for_TSP.finding_missing_dates(global_dates, rc)
missingfi = Functions_for_TSP.finding_missing_dates(global_dates, fi)
diffmiro = Functions_for_TSP.simulate_meteo(milano, roma)
difffiro = Functions_for_TSP.simulate_meteo(fi, roma)
diffparo = Functions_for_TSP.simulate_meteo(pa, roma)
diffcaro = Functions_for_TSP.simulate_meteo(ca, roma)
diffrcro = Functions_for_TSP.simulate_meteo(rc, roma)
upmilano = Functions_for_TSP.generate_simulated_meteo_dataset(milano, roma)
upfirenze = Functions_for_TSP.generate_simulated_meteo_dataset(fi, roma)
upcagliari = Functions_for_TSP.generate_simulated_meteo_dataset(ca, roma)
uppalermo = Functions_for_TSP.generate_simulated_meteo_dataset(pa, roma)
uprc = Functions_for_TSP.generate_simulated_meteo_dataset(rc, roma)
upmilano.to_csv('storico_milano_aggiornato.txt', sep="\t", index=False)
upfirenze.to_csv('storico_firenze_aggiornato.txt', sep="\t", index=False)
upcagliari.to_csv('storico_cagliari_aggiornato.txt', sep="\t", index=False)
uppalermo.to_csv('storico_palermo_aggiornato.txt', sep="\t", index=False)
uprc.to_csv('storico_reggiocalabria_aggiornato.txt', sep="\t", index=False)
################ study and simulation meteo #####################
milano_date = pd.to_datetime(milano[milano.columns[0]])
mmedia = pd.DataFrame(milano['Tmedia'])
mmedia = mmedia.set_index(milano_date)
test = Functions_for_TSP.update_meteo(milano, torino)
test.to_csv('storico_milano_aggiornato.txt', sep="\t", index = False)
missing2 = Functions_for_TSP.finding_missing_dates(global_dates, test)
missingca = Functions_for_TSP.finding_missing_dates(global_dates, ca)
missingpa = Functions_for_TSP.finding_missing_dates(global_dates, pa)
missingrc = Functions_for_TSP.finding_missing_dates(global_dates, rc)
missingfi = Functions_for_TSP.finding_missing_dates(global_dates, fi)
diffmiro = Functions_for_TSP.simulate_meteo(milano,roma)
difffiro = Functions_for_TSP.simulate_meteo(fi,roma)
diffparo = Functions_for_TSP.simulate_meteo(pa,roma)
diffcaro = Functions_for_TSP.simulate_meteo(ca,roma)
diffrcro = Functions_for_TSP.simulate_meteo(rc,roma)
upmilano = Functions_for_TSP.generate_simulated_meteo_dataset(milano, roma)
upfirenze = Functions_for_TSP.generate_simulated_meteo_dataset(fi, roma)
upcagliari = Functions_for_TSP.generate_simulated_meteo_dataset(ca, roma)
uppalermo = Functions_for_TSP.generate_simulated_meteo_dataset(pa, roma)
uprc = Functions_for_TSP.generate_simulated_meteo_dataset(rc, roma)
upmilano.to_csv('storico_milano_aggiornato.txt', sep="\t", index = False)
upfirenze.to_csv('storico_firenze_aggiornato.txt', sep="\t", index = False)
upcagliari.to_csv('storico_cagliari_aggiornato.txt', sep="\t", index = False)
uppalermo.to_csv('storico_palermo_aggiornato.txt', sep="\t", index = False)
uprc.to_csv('storico_reggiocalabria_aggiornato.txt', sep="\t", index = False)
################ study and simulation meteo #####################
milano_date = pd.to_datetime(milano[milano.columns[0]])
mmedia = pd.DataFrame(milano['Tmedia'])
mmedia = mmedia.set_index(milano_date)
