Best Python code snippet using fMBT_python
Course.py
Source: Course.py
...90 for i in data:91 if first:92 first = False93 continue94 name = handle_tr(i[0]).title()95 surname = handle_tr(i[1]).title()96 student_number = str(int(float(i[2])))97 mail = i[3]98 role = 499 username = name.split()[0].lower() + surname.lower()100 password = passwordGenerator(8)101 try:102 self.execute("INSERT INTO members(PersonID, Role, Name, Surname, Username, Password, Email) "103 "values(%s, '%s', '%s', '%s', '%s', '%s', '%s');"104 % (student_number, role, name, surname, username, pas.hash_password(password), mail))105 auth.append((name + " " + surname, mail, password, username))106 except IntegrityError:107 pass108 reg.append(student_number)109 threading.Thread(target=send_mail_first_login, args=(auth, lecturer)).start()...
html2csv.py
Source: html2csv.py
...89 self.processing_table = True90 return91 if not self.table_num:92 self.processing_table = False93 def handle_tr(self, what, _tag, _attrs):94 if self.processing_table:95 if what == "start":96 self.rows.append([])97 def error(self, message):98 print(message, file=sys.stderr)99if __name__ == "__main__":...
mkDataset.py
Source: mkDataset.py
1import numpy2import csv3import cPickle4import datetime as dt5import calendar as cl6dataMonth = cPickle.load(open('data/dumpMonthly.pkl','rb'))7dataDay = cPickle.load(open('data/dumpDaily.pkl','rb'))8# get median for labelling returns9getAll = numpy.asarray([])10for key, value in dataMonth.items():11 getAll = numpy.concatenate([getAll,value.values[:,3]])12median = numpy.median(getAll)13# make dataset14handle_tr = open('data/trainData.dat', 'w')15handle_tr.write("M12,M11,M10,M9,M8,M7,M6,M5,M4,M3,M2,M1,"16 "D15,D14,D13,D12,D11,D10,D9,D8,D7,D6,D5,D4,D3,D2,D1,"17 "Jan,Label,Ticker,Month,Year\n")18handle_ts = open('data/testData.dat', 'w')19handle_ts.write("M12,M11,M10,M9,M8,M7,M6,M5,M4,M3,M2,M1,"20 "D15,D14,D13,D12,D11,D10,D9,D8,D7,D6,D5,D4,D3,D2,D1,"21 "Jan,Label,Ticker,Month,Year\n")22for key, value in dataMonth.items():23 data = []24 for k in xrange(len(dataMonth[key].values[:,3])-12):25 month = dataMonth[key].index[k+12].month26 year = dataMonth[key].index[k+12].year27 # skip current month because insufficient data28 if month!=11 or year!=2014:29 rm = numpy.zeros(12)30 for i in xrange(k,k+12):31 rm[i-k] = dataMonth[key].values[i,3]32 label = dataMonth[key].values[k+12,3] > median33 endday = cl.monthrange(year, month)[1]34 start = dataDay[key].index.searchsorted(dt.datetime(year, month, 1))35 end = dataDay[key].index.searchsorted(dt.datetime(year, month, endday))36 rd = dataDay[key].ix[start:end].values[:,3][-15:]37 if month==1:38 idct = 139 else:40 idct = 041 if len(rd)==15:42 datapoint = numpy.concatenate([rm, rd]).tolist()43 datapoint.append(idct)44 datapoint.append(int(label)+1)45 datapoint.append(key)46 datapoint.append(month)47 datapoint.append(year)48 data.append(datapoint)49 else:50 print "skipped",key,month,year51 train = data[:int(len(data)*0.75)]52 test = data[int(len(data)*0.75):]53 for tr in train:54 handle_tr.write(','.join([str(s) for s in tr])+'\n')55 for ts in test:56 handle_ts.write(','.join([str(s) for s in ts])+'\n')57handle_tr.close()...
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