Exemplo n.º 1
0
###################################################################
###### find missing dates #########################################
###################################################################

vector_dates = np.concatenate([
    np.array(data[data.columns[0]]),
    np.array(data2[data2.columns[0]]),
    np.array(data3[data3.columns[0]]),
    np.array(data4[data4.columns[0]]),
    np.array(data5[data5.columns[0]]),
    np.array(data6[data6.columns[0]])
])

global_dates = temp.dates(pd.Series(vector_dates))

missing = Functions_for_TSP.finding_missing_dates(global_dates, milano)
missing2 = Functions_for_TSP.finding_missing_dates(global_dates, torino)

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)
Exemplo n.º 2
0
rc = pd.read_table("C:/Users/d_floriello/Documents/PUN/storico_reggiocalabria.txt", sep="\t")
fi = pd.read_table("C:/Users/d_floriello/Documents/PUN/storico_firenze.txt", sep="\t")


###################################################################
###### find missing dates #########################################
###################################################################

vector_dates = np.concatenate([np.array(data[data.columns[0]]), np.array(data2[data2.columns[0]]), 
                               np.array(data3[data3.columns[0]]),
                         np.array(data4[data4.columns[0]]), np.array(data5[data5.columns[0]]), 
                            np.array(data6[data6.columns[0]])])
                            
global_dates = temp.dates(pd.Series(vector_dates))

missing = Functions_for_TSP.finding_missing_dates(global_dates, milano)
missing2 = Functions_for_TSP.finding_missing_dates(global_dates, torino)

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)