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)