Python time.year() Examples
The following are 10
code examples of time.year().
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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: extract_features.py From Build-CNN-or-LSTM-or-CNNLSTM-with-speech-features with MIT License | 5 votes |
|
def get_date():
'''
This creates a string of the day, hour, minute and second
I use this to make folder names unique
For the files themselves, I generate genuinely unique names (i.e. name001.csv, name002.csv, etc.)
'''
time = datetime.datetime.now()
time_str = "{}y{}m{}d{}h{}m{}s".format(time.year,time.month,time.day,time.hour,time.minute,time.second)
return(time_str)
Example #5
| 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 #6
| Source File: frequency_estimators.py From augur with GNU Affero General Public License v3.0 | 5 votes |
|
def __init__(self, sigma_narrow=1 / 12.0, sigma_wide=3 / 12.0, proportion_wide=0.2,
pivot_frequency=1, start_date=None, end_date=None, weights=None, weights_attribute=None,
node_filters=None, max_date=None, include_internal_nodes=False, censored=False):
"""Define parameters for KDE-based frequency estimation.
Args:
sigma_narrow (float): Bandwidth for first of two Gaussians composing the KDEs
sigma_wide (float): Bandwidth for second of two Gaussians composing the KDEs
proportion_wide (float): Proportion of the second Gaussian to include in each KDE
pivot_frequency (int): Number of months between pivots
start_date (float): start of the pivots interval
end_date (float): end of the pivots interval
weights (dict): Numerical weights indexed by attribute values and applied to individual tips
weights_attribute (str): Attribute annotated on tips of a tree to use for weighting
node_filters (dict): Mapping of node attribute names (keys) to a list of valid values to keep
max_date (float): Maximum year beyond which tips are excluded from frequency estimation and are assigned
frequencies of zero
include_internal_nodes (bool): Whether internal (non-tip) nodes should have their frequencies estimated
censored (bool): Whether future observations should be censored at each pivot
Returns:
KdeFrequencies
"""
self.sigma_narrow = sigma_narrow
self.sigma_wide = sigma_wide
self.proportion_wide = proportion_wide
self.pivot_frequency = pivot_frequency
self.start_date = start_date
self.end_date = end_date
self.weights = weights
self.weights_attribute = weights_attribute
self.node_filters = node_filters
self.max_date = max_date
self.include_internal_nodes = include_internal_nodes
self.censored = censored
Example #7
| Source File: get_data.py From Malicious_Domain_Whois with GNU General Public License v3.0 | 5 votes |
|
def update_redis():
get_black_name(1)
get_black_tel(1)
get_black_email(1)
get_malicious_domain_whois(1)
get_malicious_sponsoring_registrar()
get_malicious_tld()
get_ip_frequency()
get_exist_situation()
get_update_situation()
for year in range(2007, 2018):
get_c_e_data(year)
Example #8
| 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 #9
| 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 #10
| 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
