]
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description='specify number of email data volume')
parser.add_argument('volume_number',
type=int,
nargs='?',
help='specify the data volume number')
args = parser.parse_args()
if args.volume_number == None:
args.volume_number = 1
print("VOLUME NUMBER: ", int(args.volume_number))
mw = MailWorker()
data, answereddata = mw.get_message_id_list(int(args.volume_number))
mails = mw.fetch(data, answereddata)
mw.mailclose()
print(len(mails), "mails in dataset")
mydata = np.empty((len(mails), len(usefulHeaders())), dtype='object')
row = 0
for m in mails:
col = 0
for k in usefulHeaders():
mydata[row][col] = m[k]
col += 1
row += 1
print("populated ndarray")
MyDataFrame = pd.DataFrame(mydata, columns=usefulHeaders(), dtype=str)
if args.volume_number == 1:
