コード例 #1
0
	def setBirthday(self, month, day, year):
		"""sets self's birthday to birthDate"""
		self.birthday = datetime.data(year, month, day)
コード例 #2
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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))
コード例 #3
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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')
コード例 #4
0
                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))