def main():
r = DataReader.PdData()
years = range(1,4)
train = dict(zip(years,
[r.massaged_data(x, hourly=True) for x in years]))
# train = r.massaged_data(1, hourly=True)
print("~"*25)
train_all = pd.concat(train.values(), axis=0).sort_index()
print(train_all)
print("~"*25)
print(train_all.shape)
timestamp = d.datetime.now().strftime("%d-%m-%Y(%H:%M:%S)")
train_all.to_pickle(f"data/train_{timestamp}.p")
