def setBirthday(self, month, day, year): """sets self's birthday to birthDate""" self.birthday = datetime.data(year, month, day)
def loadMartDocs(self):
file = open(os.path.join(FILE_PATH, 'metadati_MART.json'), 'r')
docContent = StringIO(file.read())
docDict = json.load(docContent) #this dict will be updated with the content of docsDict
file.close()
# date variables
dateSeparator = '/'
i = 0
#get or create project
for doc in docDict:
i = i+1
try:
d = Drawing.objects.get(segnatura = doc['segnatura'])
except: # document not present
segn = doc['segnatura']
if segn is None:
segn = 'blank'
d = Drawing(segnatura = segn)
try:
d.project = Project.objects.get(sigla = doc['progetto'])
except:
d.project = None
d.archivio = doc['sigla_archivio']
#d.formato = doc['formato']
d.annotazioni = doc['annotazioni']
d.tecnica = doc['supporto']
d.supporto = doc['supporto']
d.tipo = doc['descrizione']
d.segnatura = doc['segnatura']
#d.strumento = doc['strumento']
#d.scala = doc['scala']
d.sigla_archivio = doc['sigla_archivio']
#d.multipli = doc['multipli']
#d.restauri = doc['restauri']
#d.formato_cornice = doc['formato_cornice']
#d.collocazione = doc['collocazione']
#d.conservazione = doc['conservazione']
#d.riproduzione = doc['riproduzione']
#d.cartigli = doc['cartigli']
# set date
try:
data = doc['data']
prec = doc['precisione']
day = ''
month = ''
year = ''
dateDay = 0
dateMonth = 0
dateYear = 0
if data is not None:
nDateElements = data.count(dateSeparator)
if nDateElements + 1 == 3: # 3 date elements - i.e. dd/mm/yyyy
day, sep, rest = data.partition(dateSeparator)
month, sep, year = rest.partition(dateSeparator)
if prec == 'year':
day = '1'
dateDay = None
month = '1'
dateMonth = None
elif prec == 'month':
day = '1'
dateDay = None
dateMonth = int(month)
else:
dateDay = int(day)
dateMonth = int(month)
dateYear = int(year)
d.data = datetime.data(int(year), int(month), int(day))
d.dataDay = dateDay
d.dataMonth = dateMonth
d.dataYear = dateYear
except Exception, e:
# print e
d.data = None
d.dateDay = None
d.dateMonth = None
d.dateYear = None
d.save()
print ("documento salvato: " + str(i))
import datetime
import numpy as np
import matplotlib.pyplot as plt
from hmmlearn.hmm import GaussianHMM
import pandas as pd
import pandas_datareader.data as pdd
QUANDL_API_KEY = 'xxxxxxxxxxxx'
start = datetime.data(1970, 9, 4)
end = datatime.data(2016, 5, 17)
stock_quotes = pdd.DataReader('WIKI/INTC',
'quandl',
start,
end,
access_key=QUANDL_API_KEY)
closing_quotes = np.array(stock_quotes['Close'])
volumes = np.array(stock_quotes['Volume'])[1:]
diff_percentages = 100.0 * np.diff(closing_quotes) / closing_quotes[:-1]
training_data = np.column_stack([diff_percentages, volumes])
hmm = GaussianHMM(n_components=7, covariance_type='diag', n_iter=1000)
hmm.fit(training_data)
num_samples = 300
samples, _ = hmm.sample(num_samples)
plt.figure()
plt.title('Difference percentages')
nDateElements = data.count(dateSeparator)
if nDateElements + 1 == 3: # 3 date elements - i.e. dd/mm/yyyy
day, sep, rest = data.partition(dateSeparator)
month, sep, year = rest.partition(dateSeparator)
if prec == 'year':
day = '1'
dateDay = None
month = '1'
dateMonth = None
elif prec == 'month':
day = '1'
dateDay = None
dateMonth = int(month)
else:
dateDay = int(day)
dateMonth = int(month)
dateYear = int(year)
d.data = datetime.data(int(year), int(month), int(day))
d.dataDay = dateDay
d.dataMonth = dateMonth
d.dataYear = dateYear
except Exception, e:
# print e
d.data = None
d.dateDay = None
d.dateMonth = None
d.dateYear = None
d.save()
print ("documento salvato: " + str(i))
