Python time.month() Examples
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Example #1
Source File: visual_cortex.py From rpi_ai with MIT License | 6 votes |
def saveImage(): keepDiskSpaceFree(config.diskSpaceToReserve) time = datetime.datetime.now() filenameFull = config.filepath + config.filenamePrefix + "-%04d%02d%02d%02d%02d%02d" % (time.year, time.month, time.day, time.hour, time.minute, time.second)+ "." + config.fileType # save onto webserver filename = "/var/www/temp.jpg" subprocess.call("sudo raspistill -w "+ str(config.saveWidth) +" -h "+ str(config.saveHeight) + " -t 1 -n -vf -e " + config.fileType + " -q 15 -o %s" % filename, shell=True) print "Captured image: %s" % filename theSpeech = recognizeFace(filename,filenameFull) if len(theSpeech)>2: print theSpeech saySomething(theSpeech,"en") config.lookForFaces = 0 # Keep free space above given level
Example #2
Source File: frequency_estimators.py From augur with GNU Affero General Public License v3.0 | 6 votes |
def timestamp_to_float(time): """Convert a pandas timestamp to a floating point date. >>> import datetime >>> time = datetime.date(2010, 10, 1) >>> timestamp_to_float(time) 2010.75 >>> time = datetime.date(2011, 4, 1) >>> timestamp_to_float(time) 2011.25 >>> timestamp_to_float(datetime.date(2011, 1, 1)) 2011.0 >>> timestamp_to_float(datetime.date(2011, 12, 1)) == (2011.0 + 11.0 / 12) True """ return time.year + ((time.month - 1) / 12.0)
Example #3
Source File: spa.py From fluids with MIT License | 6 votes |
def julian_day_dt(year, month, day, hour, minute, second, microsecond): """This is the original way to calculate the julian day from the NREL paper. However, it is much faster to convert to unix/epoch time and then convert to julian day. Note that the date must be UTC.""" # Not used anywhere! if month <= 2: year = year-1 month = month+12 a = int(year/100) b = 2 - a + int(a * 0.25) frac_of_day = (microsecond + (second + minute * 60 + hour * 3600) ) * 1.0 / (3600*24) d = day + frac_of_day jd = (int(365.25 * (year + 4716)) + int(30.6001 * (month + 1)) + d + b - 1524.5) return jd
Example #4
Source File: frequency_estimators.py From augur with GNU Affero General Public License v3.0 | 5 votes |
def float_to_datestring(time): """Convert a floating point date to a date string >>> float_to_datestring(2010.75) '2010-10-01' >>> float_to_datestring(2011.25) '2011-04-01' >>> float_to_datestring(2011.0) '2011-01-01' >>> float_to_datestring(2011.0 + 11.0 / 12) '2011-12-01' In some cases, the given float value can be truncated leading to unexpected conversion between floating point and integer values. This function should account for these errors by rounding months to the nearest integer. >>> float_to_datestring(2011.9166666666665) '2011-12-01' >>> float_to_datestring(2016.9609856262834) '2016-12-01' """ year = int(time) # After accounting for the current year, extract the remainder and convert # it to a month using the inverse of the logic used to create the floating # point date. If the float date is sufficiently close to the end of the # year, rounding can produce a 13th month. month = min(int(np.rint(((time - year) * 12) + 1)), 12) # Floating point dates do not encode day information, so we always assume # they refer to the start of a given month. day = 1 return "%s-%02d-%02d" % (year, month, day)
Example #5
Source File: train.py From piecewisecrf with MIT License | 5 votes |
def get_time_string(): ''' Returns current time in day_month_HH-MM-SS/ format ''' time = datetime.now() name = (str(time.day) + '_' + str(time.month) + '_%02d' % time.hour + '-%02d' % time.minute + '-%02d' % time.second + '/') return name
Example #6
Source File: test_utils.py From oggm with BSD 3-Clause "New" or "Revised" License | 4 votes |
def test_date_to_floatyear(self): r = utils.date_to_floatyear(0, 1) self.assertEqual(r, 0) r = utils.date_to_floatyear(1, 1) self.assertEqual(r, 1) r = utils.date_to_floatyear([0, 1], [1, 1]) np.testing.assert_array_equal(r, [0, 1]) yr = utils.date_to_floatyear([1998, 1998], [6, 7]) y, m = utils.floatyear_to_date(yr) np.testing.assert_array_equal(y, [1998, 1998]) np.testing.assert_array_equal(m, [6, 7]) yr = utils.date_to_floatyear([1998, 1998], [2, 3]) y, m = utils.floatyear_to_date(yr) np.testing.assert_array_equal(y, [1998, 1998]) np.testing.assert_array_equal(m, [2, 3]) time = pd.date_range('1/1/1800', periods=300*12-11, freq='MS') yr = utils.date_to_floatyear(time.year, time.month) y, m = utils.floatyear_to_date(yr) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month) myr = utils.monthly_timeseries(1800, 2099) y, m = utils.floatyear_to_date(myr) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month) myr = utils.monthly_timeseries(1800, ny=300) y, m = utils.floatyear_to_date(myr) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month) time = pd.period_range('0001-01', '6000-1', freq='M') myr = utils.monthly_timeseries(1, 6000) y, m = utils.floatyear_to_date(myr) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month) time = pd.period_range('0001-01', '6000-12', freq='M') myr = utils.monthly_timeseries(1, 6000, include_last_year=True) y, m = utils.floatyear_to_date(myr) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month) with self.assertRaises(ValueError): utils.monthly_timeseries(1)
Example #7
Source File: test_utils.py From oggm with BSD 3-Clause "New" or "Revised" License | 4 votes |
def test_hydro_convertion(self): # October y, m = utils.hydrodate_to_calendardate(1, 1, start_month=10) assert (y, m) == (0, 10) y, m = utils.hydrodate_to_calendardate(1, 4, start_month=10) assert (y, m) == (1, 1) y, m = utils.hydrodate_to_calendardate(1, 12, start_month=10) assert (y, m) == (1, 9) y, m = utils.hydrodate_to_calendardate([1, 1, 1], [1, 4, 12], start_month=10) np.testing.assert_array_equal(y, [0, 1, 1]) np.testing.assert_array_equal(m, [10, 1, 9]) y, m = utils.calendardate_to_hydrodate(1, 1, start_month=10) assert (y, m) == (1, 4) y, m = utils.calendardate_to_hydrodate(1, 9, start_month=10) assert (y, m) == (1, 12) y, m = utils.calendardate_to_hydrodate(1, 10, start_month=10) assert (y, m) == (2, 1) y, m = utils.calendardate_to_hydrodate([1, 1, 1], [1, 9, 10], start_month=10) np.testing.assert_array_equal(y, [1, 1, 2]) np.testing.assert_array_equal(m, [4, 12, 1]) # Roundtrip time = pd.period_range('0001-01', '1000-12', freq='M') y, m = utils.calendardate_to_hydrodate(time.year, time.month, start_month=10) y, m = utils.hydrodate_to_calendardate(y, m, start_month=10) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month) # April y, m = utils.hydrodate_to_calendardate(1, 1, start_month=4) assert (y, m) == (0, 4) y, m = utils.hydrodate_to_calendardate(1, 4, start_month=4) assert (y, m) == (0, 7) y, m = utils.hydrodate_to_calendardate(1, 9, start_month=4) assert (y, m) == (0, 12) y, m = utils.hydrodate_to_calendardate(1, 10, start_month=4) assert (y, m) == (1, 1) y, m = utils.hydrodate_to_calendardate(1, 12, start_month=4) assert (y, m) == (1, 3) y, m = utils.hydrodate_to_calendardate([1, 1, 1], [1, 4, 12], start_month=4) np.testing.assert_array_equal(y, [0, 0, 1]) np.testing.assert_array_equal(m, [4, 7, 3]) # Roundtrip time = pd.period_range('0001-01', '1000-12', freq='M') y, m = utils.calendardate_to_hydrodate(time.year, time.month, start_month=4) y, m = utils.hydrodate_to_calendardate(y, m, start_month=4) np.testing.assert_array_equal(y, time.year) np.testing.assert_array_equal(m, time.month)
Example #8
Source File: get_data1.py From Malicious_Domain_Whois with GNU General Public License v3.0 | 4 votes |
def get_c_e_data(chooseyear): date_data = dict(year=[{"name":"一月", "cValue":0, "eValue":0}, {"name":"二月", "cValue":0, "eValue":0}, {"name":"三月", "cValue":0, "eValue":0}, {"name":"四月", "cValue":0, "eValue":0}, {"name":"五月", "cValue":0, "eValue":0}, {"name":"六月", "cValue":0, "eValue":0}, {"name":"七月", "cValue":0, "eValue":0}, {"name":"八月", "cValue":0, "eValue":0}, {"name":"九月", "cValue":0, "eValue":0}, {"name":"十月", "cValue":0, "eValue":0}, {"name":"十一月", "cValue":0, "eValue":0}, {"name":"十二月", "cValue":0, "eValue":0}], c_date=[], e_date=[]) standard_year = 2003 for year in range(standard_year, chooseyear+1): date_data['c_date'].append({"name": year,"value":0}) date_data['e_date'].append({"name": year, "value": 0}) data = whois.select(whois.creation_date).where(whois.creation_date != '') for date in data: try: try: time = arrow.get(date.creation_date, 'DD-MMM-YYYY') date_data['c_date'][time.year-standard_year]['value'] += 1 if time.year == chooseyear: date_data['year'][time.month-1]["cValue"] += 1 except: time = arrow.get(date.creation_date) date_data['c_date'][time.year - standard_year]['value'] += 1 if time.year == chooseyear: date_data['year'][time.month - 1]["cValue"] += 1 except: pass data1 = whois.select(whois.expiration_date).where(whois.expiration_date != '') for date in data1: try: try: time = arrow.get(date.expiration_date, 'DD-MMM-YYYY') date_data['e_date'][time.year - standard_year]['value'] += 1 if time.year == chooseyear: date_data['year'][time.month - 1]["eValue"] += 1 except: time = arrow.get(date.expiration_date) date_data['e_date'][time.year - standard_year]['value'] += 1 if time.year == chooseyear: date_data['year'][time.month - 1]["eValue"] += 1 except: pass return json.dumps(date_data, ensure_ascii=False) # 4.2恶意域名总体生存时间分布展示 横轴动态定