/
test_datetime.py
1909 lines (1714 loc) · 88.3 KB
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test_datetime.py
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from __future__ import division, absolute_import, print_function
import pickle
import warnings
import numpy
import numpy as np
import datetime
from numpy.compat import asbytes
from numpy.testing import (
TestCase, run_module_suite, assert_, assert_equal, assert_raises,
assert_warns, dec
)
# Use pytz to test out various time zones if available
try:
from pytz import timezone as tz
_has_pytz = True
except ImportError:
_has_pytz = False
class TestDateTime(TestCase):
def test_datetime_dtype_creation(self):
for unit in ['Y', 'M', 'W', 'D',
'h', 'm', 's', 'ms', 'us',
'ns', 'ps', 'fs', 'as']:
dt1 = np.dtype('M8[750%s]' % unit)
assert_(dt1 == np.dtype('datetime64[750%s]' % unit))
dt2 = np.dtype('m8[%s]' % unit)
assert_(dt2 == np.dtype('timedelta64[%s]' % unit))
# Generic units shouldn't add [] to the end
assert_equal(str(np.dtype("M8")), "datetime64")
# Should be possible to specify the endianness
assert_equal(np.dtype("=M8"), np.dtype("M8"))
assert_equal(np.dtype("=M8[s]"), np.dtype("M8[s]"))
assert_(np.dtype(">M8") == np.dtype("M8") or
np.dtype("<M8") == np.dtype("M8"))
assert_(np.dtype(">M8[D]") == np.dtype("M8[D]") or
np.dtype("<M8[D]") == np.dtype("M8[D]"))
assert_(np.dtype(">M8") != np.dtype("<M8"))
assert_equal(np.dtype("=m8"), np.dtype("m8"))
assert_equal(np.dtype("=m8[s]"), np.dtype("m8[s]"))
assert_(np.dtype(">m8") == np.dtype("m8") or
np.dtype("<m8") == np.dtype("m8"))
assert_(np.dtype(">m8[D]") == np.dtype("m8[D]") or
np.dtype("<m8[D]") == np.dtype("m8[D]"))
assert_(np.dtype(">m8") != np.dtype("<m8"))
# Check that the parser rejects bad datetime types
assert_raises(TypeError, np.dtype, 'M8[badunit]')
assert_raises(TypeError, np.dtype, 'm8[badunit]')
assert_raises(TypeError, np.dtype, 'M8[YY]')
assert_raises(TypeError, np.dtype, 'm8[YY]')
assert_raises(TypeError, np.dtype, 'm4')
assert_raises(TypeError, np.dtype, 'M7')
assert_raises(TypeError, np.dtype, 'm7')
assert_raises(TypeError, np.dtype, 'M16')
assert_raises(TypeError, np.dtype, 'm16')
def test_datetime_casting_rules(self):
# Cannot cast safely/same_kind between timedelta and datetime
assert_(not np.can_cast('m8', 'M8', casting='same_kind'))
assert_(not np.can_cast('M8', 'm8', casting='same_kind'))
assert_(not np.can_cast('m8', 'M8', casting='safe'))
assert_(not np.can_cast('M8', 'm8', casting='safe'))
# Can cast safely/same_kind from integer to timedelta
assert_(np.can_cast('i8', 'm8', casting='same_kind'))
assert_(np.can_cast('i8', 'm8', casting='safe'))
# Cannot cast safely/same_kind from float to timedelta
assert_(not np.can_cast('f4', 'm8', casting='same_kind'))
assert_(not np.can_cast('f4', 'm8', casting='safe'))
# Cannot cast safely/same_kind from integer to datetime
assert_(not np.can_cast('i8', 'M8', casting='same_kind'))
assert_(not np.can_cast('i8', 'M8', casting='safe'))
# Cannot cast safely/same_kind from bool to datetime
assert_(not np.can_cast('b1', 'M8', casting='same_kind'))
assert_(not np.can_cast('b1', 'M8', casting='safe'))
# Can cast safely/same_kind from bool to timedelta
assert_(np.can_cast('b1', 'm8', casting='same_kind'))
assert_(np.can_cast('b1', 'm8', casting='safe'))
# Can cast datetime safely from months/years to days
assert_(np.can_cast('M8[M]', 'M8[D]', casting='safe'))
assert_(np.can_cast('M8[Y]', 'M8[D]', casting='safe'))
# Cannot cast timedelta safely from months/years to days
assert_(not np.can_cast('m8[M]', 'm8[D]', casting='safe'))
assert_(not np.can_cast('m8[Y]', 'm8[D]', casting='safe'))
# Can cast datetime same_kind from months/years to days
assert_(np.can_cast('M8[M]', 'M8[D]', casting='same_kind'))
assert_(np.can_cast('M8[Y]', 'M8[D]', casting='same_kind'))
# Can't cast timedelta same_kind from months/years to days
assert_(not np.can_cast('m8[M]', 'm8[D]', casting='same_kind'))
assert_(not np.can_cast('m8[Y]', 'm8[D]', casting='same_kind'))
# Can cast datetime same_kind across the date/time boundary
assert_(np.can_cast('M8[D]', 'M8[h]', casting='same_kind'))
# Can cast timedelta same_kind across the date/time boundary
assert_(np.can_cast('m8[D]', 'm8[h]', casting='same_kind'))
assert_(np.can_cast('m8[h]', 'm8[D]', casting='same_kind'))
# Cannot cast safely if the integer multiplier doesn't divide
assert_(not np.can_cast('M8[7h]', 'M8[3h]', casting='safe'))
assert_(not np.can_cast('M8[3h]', 'M8[6h]', casting='safe'))
# But can cast same_kind
assert_(np.can_cast('M8[7h]', 'M8[3h]', casting='same_kind'))
# Can cast safely if the integer multiplier does divide
assert_(np.can_cast('M8[6h]', 'M8[3h]', casting='safe'))
# We can always cast types with generic units (corresponding to NaT) to
# more specific types
assert_(np.can_cast('m8', 'm8[h]', casting='same_kind'))
assert_(np.can_cast('m8', 'm8[h]', casting='safe'))
assert_(np.can_cast('M8', 'M8[h]', casting='same_kind'))
assert_(np.can_cast('M8', 'M8[h]', casting='safe'))
# but not the other way around
assert_(not np.can_cast('m8[h]', 'm8', casting='same_kind'))
assert_(not np.can_cast('m8[h]', 'm8', casting='safe'))
assert_(not np.can_cast('M8[h]', 'M8', casting='same_kind'))
assert_(not np.can_cast('M8[h]', 'M8', casting='safe'))
def test_compare_generic_nat(self):
# regression tests for GH6452
assert_equal(np.datetime64('NaT'),
np.datetime64('2000') + np.timedelta64('NaT'))
# nb. we may want to make NaT != NaT true in the future; this test
# verifies the existing behavior (and that it should not warn)
assert_(np.datetime64('NaT') == np.datetime64('NaT', 'us'))
assert_(np.datetime64('NaT', 'us') == np.datetime64('NaT'))
def test_datetime_scalar_construction(self):
# Construct with different units
assert_equal(np.datetime64('1950-03-12', 'D'),
np.datetime64('1950-03-12'))
assert_equal(np.datetime64('1950-03-12T13', 's'),
np.datetime64('1950-03-12T13', 'm'))
# Default construction means NaT
assert_equal(np.datetime64(), np.datetime64('NaT'))
# Some basic strings and repr
assert_equal(str(np.datetime64('NaT')), 'NaT')
assert_equal(repr(np.datetime64('NaT')),
"numpy.datetime64('NaT')")
assert_equal(str(np.datetime64('2011-02')), '2011-02')
assert_equal(repr(np.datetime64('2011-02')),
"numpy.datetime64('2011-02')")
# None gets constructed as NaT
assert_equal(np.datetime64(None), np.datetime64('NaT'))
# Default construction of NaT is in generic units
assert_equal(np.datetime64().dtype, np.dtype('M8'))
assert_equal(np.datetime64('NaT').dtype, np.dtype('M8'))
# Construction from integers requires a specified unit
assert_raises(ValueError, np.datetime64, 17)
# When constructing from a scalar or zero-dimensional array,
# it either keeps the units or you can override them.
a = np.datetime64('2000-03-18T16', 'h')
b = np.array('2000-03-18T16', dtype='M8[h]')
assert_equal(a.dtype, np.dtype('M8[h]'))
assert_equal(b.dtype, np.dtype('M8[h]'))
assert_equal(np.datetime64(a), a)
assert_equal(np.datetime64(a).dtype, np.dtype('M8[h]'))
assert_equal(np.datetime64(b), a)
assert_equal(np.datetime64(b).dtype, np.dtype('M8[h]'))
assert_equal(np.datetime64(a, 's'), a)
assert_equal(np.datetime64(a, 's').dtype, np.dtype('M8[s]'))
assert_equal(np.datetime64(b, 's'), a)
assert_equal(np.datetime64(b, 's').dtype, np.dtype('M8[s]'))
# Construction from datetime.date
assert_equal(np.datetime64('1945-03-25'),
np.datetime64(datetime.date(1945, 3, 25)))
assert_equal(np.datetime64('2045-03-25', 'D'),
np.datetime64(datetime.date(2045, 3, 25), 'D'))
# Construction from datetime.datetime
assert_equal(np.datetime64('1980-01-25T14:36:22.5'),
np.datetime64(datetime.datetime(1980, 1, 25,
14, 36, 22, 500000)))
# Construction with time units from a date is okay
assert_equal(np.datetime64('1920-03-13', 'h'),
np.datetime64('1920-03-13T00'))
assert_equal(np.datetime64('1920-03', 'm'),
np.datetime64('1920-03-01T00:00'))
assert_equal(np.datetime64('1920', 's'),
np.datetime64('1920-01-01T00:00:00'))
assert_equal(np.datetime64(datetime.date(2045, 3, 25), 'ms'),
np.datetime64('2045-03-25T00:00:00.000'))
# Construction with date units from a datetime is also okay
assert_equal(np.datetime64('1920-03-13T18', 'D'),
np.datetime64('1920-03-13'))
assert_equal(np.datetime64('1920-03-13T18:33:12', 'M'),
np.datetime64('1920-03'))
assert_equal(np.datetime64('1920-03-13T18:33:12.5', 'Y'),
np.datetime64('1920'))
def test_datetime_scalar_construction_timezone(self):
# verify that supplying an explicit timezone works, but is deprecated
with assert_warns(DeprecationWarning):
assert_equal(np.datetime64('2000-01-01T00Z'),
np.datetime64('2000-01-01T00'))
with assert_warns(DeprecationWarning):
assert_equal(np.datetime64('2000-01-01T00-08'),
np.datetime64('2000-01-01T08'))
def test_datetime_array_find_type(self):
dt = np.datetime64('1970-01-01', 'M')
arr = np.array([dt])
assert_equal(arr.dtype, np.dtype('M8[M]'))
# at the moment, we don't automatically convert these to datetime64
dt = datetime.date(1970, 1, 1)
arr = np.array([dt])
assert_equal(arr.dtype, np.dtype('O'))
dt = datetime.datetime(1970, 1, 1, 12, 30, 40)
arr = np.array([dt])
assert_equal(arr.dtype, np.dtype('O'))
# find "supertype" for non-dates and dates
b = np.bool_(True)
dt = np.datetime64('1970-01-01', 'M')
arr = np.array([b, dt])
assert_equal(arr.dtype, np.dtype('O'))
dt = datetime.date(1970, 1, 1)
arr = np.array([b, dt])
assert_equal(arr.dtype, np.dtype('O'))
dt = datetime.datetime(1970, 1, 1, 12, 30, 40)
arr = np.array([b, dt])
assert_equal(arr.dtype, np.dtype('O'))
def test_timedelta_scalar_construction(self):
# Construct with different units
assert_equal(np.timedelta64(7, 'D'),
np.timedelta64(1, 'W'))
assert_equal(np.timedelta64(120, 's'),
np.timedelta64(2, 'm'))
# Default construction means 0
assert_equal(np.timedelta64(), np.timedelta64(0))
# None gets constructed as NaT
assert_equal(np.timedelta64(None), np.timedelta64('NaT'))
# Some basic strings and repr
assert_equal(str(np.timedelta64('NaT')), 'NaT')
assert_equal(repr(np.timedelta64('NaT')),
"numpy.timedelta64('NaT')")
assert_equal(str(np.timedelta64(3, 's')), '3 seconds')
assert_equal(repr(np.timedelta64(-3, 's')),
"numpy.timedelta64(-3,'s')")
assert_equal(repr(np.timedelta64(12)),
"numpy.timedelta64(12)")
# Construction from an integer produces generic units
assert_equal(np.timedelta64(12).dtype, np.dtype('m8'))
# When constructing from a scalar or zero-dimensional array,
# it either keeps the units or you can override them.
a = np.timedelta64(2, 'h')
b = np.array(2, dtype='m8[h]')
assert_equal(a.dtype, np.dtype('m8[h]'))
assert_equal(b.dtype, np.dtype('m8[h]'))
assert_equal(np.timedelta64(a), a)
assert_equal(np.timedelta64(a).dtype, np.dtype('m8[h]'))
assert_equal(np.timedelta64(b), a)
assert_equal(np.timedelta64(b).dtype, np.dtype('m8[h]'))
assert_equal(np.timedelta64(a, 's'), a)
assert_equal(np.timedelta64(a, 's').dtype, np.dtype('m8[s]'))
assert_equal(np.timedelta64(b, 's'), a)
assert_equal(np.timedelta64(b, 's').dtype, np.dtype('m8[s]'))
# Construction from datetime.timedelta
assert_equal(np.timedelta64(5, 'D'),
np.timedelta64(datetime.timedelta(days=5)))
assert_equal(np.timedelta64(102347621, 's'),
np.timedelta64(datetime.timedelta(seconds=102347621)))
assert_equal(np.timedelta64(-10234760000, 'us'),
np.timedelta64(datetime.timedelta(
microseconds=-10234760000)))
assert_equal(np.timedelta64(10234760000, 'us'),
np.timedelta64(datetime.timedelta(
microseconds=10234760000)))
assert_equal(np.timedelta64(1023476, 'ms'),
np.timedelta64(datetime.timedelta(milliseconds=1023476)))
assert_equal(np.timedelta64(10, 'm'),
np.timedelta64(datetime.timedelta(minutes=10)))
assert_equal(np.timedelta64(281, 'h'),
np.timedelta64(datetime.timedelta(hours=281)))
assert_equal(np.timedelta64(28, 'W'),
np.timedelta64(datetime.timedelta(weeks=28)))
# Cannot construct across nonlinear time unit boundaries
a = np.timedelta64(3, 's')
assert_raises(TypeError, np.timedelta64, a, 'M')
assert_raises(TypeError, np.timedelta64, a, 'Y')
a = np.timedelta64(6, 'M')
assert_raises(TypeError, np.timedelta64, a, 'D')
assert_raises(TypeError, np.timedelta64, a, 'h')
a = np.timedelta64(1, 'Y')
assert_raises(TypeError, np.timedelta64, a, 'D')
assert_raises(TypeError, np.timedelta64, a, 'm')
def test_timedelta_scalar_construction_units(self):
# String construction detecting units
assert_equal(np.datetime64('2010').dtype,
np.dtype('M8[Y]'))
assert_equal(np.datetime64('2010-03').dtype,
np.dtype('M8[M]'))
assert_equal(np.datetime64('2010-03-12').dtype,
np.dtype('M8[D]'))
assert_equal(np.datetime64('2010-03-12T17').dtype,
np.dtype('M8[h]'))
assert_equal(np.datetime64('2010-03-12T17:15').dtype,
np.dtype('M8[m]'))
assert_equal(np.datetime64('2010-03-12T17:15:08').dtype,
np.dtype('M8[s]'))
assert_equal(np.datetime64('2010-03-12T17:15:08.1').dtype,
np.dtype('M8[ms]'))
assert_equal(np.datetime64('2010-03-12T17:15:08.12').dtype,
np.dtype('M8[ms]'))
assert_equal(np.datetime64('2010-03-12T17:15:08.123').dtype,
np.dtype('M8[ms]'))
assert_equal(np.datetime64('2010-03-12T17:15:08.1234').dtype,
np.dtype('M8[us]'))
assert_equal(np.datetime64('2010-03-12T17:15:08.12345').dtype,
np.dtype('M8[us]'))
assert_equal(np.datetime64('2010-03-12T17:15:08.123456').dtype,
np.dtype('M8[us]'))
assert_equal(np.datetime64('1970-01-01T00:00:02.1234567').dtype,
np.dtype('M8[ns]'))
assert_equal(np.datetime64('1970-01-01T00:00:02.12345678').dtype,
np.dtype('M8[ns]'))
assert_equal(np.datetime64('1970-01-01T00:00:02.123456789').dtype,
np.dtype('M8[ns]'))
assert_equal(np.datetime64('1970-01-01T00:00:02.1234567890').dtype,
np.dtype('M8[ps]'))
assert_equal(np.datetime64('1970-01-01T00:00:02.12345678901').dtype,
np.dtype('M8[ps]'))
assert_equal(np.datetime64('1970-01-01T00:00:02.123456789012').dtype,
np.dtype('M8[ps]'))
assert_equal(np.datetime64(
'1970-01-01T00:00:02.1234567890123').dtype,
np.dtype('M8[fs]'))
assert_equal(np.datetime64(
'1970-01-01T00:00:02.12345678901234').dtype,
np.dtype('M8[fs]'))
assert_equal(np.datetime64(
'1970-01-01T00:00:02.123456789012345').dtype,
np.dtype('M8[fs]'))
assert_equal(np.datetime64(
'1970-01-01T00:00:02.1234567890123456').dtype,
np.dtype('M8[as]'))
assert_equal(np.datetime64(
'1970-01-01T00:00:02.12345678901234567').dtype,
np.dtype('M8[as]'))
assert_equal(np.datetime64(
'1970-01-01T00:00:02.123456789012345678').dtype,
np.dtype('M8[as]'))
# Python date object
assert_equal(np.datetime64(datetime.date(2010, 4, 16)).dtype,
np.dtype('M8[D]'))
# Python datetime object
assert_equal(np.datetime64(
datetime.datetime(2010, 4, 16, 13, 45, 18)).dtype,
np.dtype('M8[us]'))
# 'today' special value
assert_equal(np.datetime64('today').dtype,
np.dtype('M8[D]'))
# 'now' special value
assert_equal(np.datetime64('now').dtype,
np.dtype('M8[s]'))
def test_datetime_nat_casting(self):
a = np.array('NaT', dtype='M8[D]')
b = np.datetime64('NaT', '[D]')
# Arrays
assert_equal(a.astype('M8[s]'), np.array('NaT', dtype='M8[s]'))
assert_equal(a.astype('M8[ms]'), np.array('NaT', dtype='M8[ms]'))
assert_equal(a.astype('M8[M]'), np.array('NaT', dtype='M8[M]'))
assert_equal(a.astype('M8[Y]'), np.array('NaT', dtype='M8[Y]'))
assert_equal(a.astype('M8[W]'), np.array('NaT', dtype='M8[W]'))
# Scalars -> Scalars
assert_equal(np.datetime64(b, '[s]'), np.datetime64('NaT', '[s]'))
assert_equal(np.datetime64(b, '[ms]'), np.datetime64('NaT', '[ms]'))
assert_equal(np.datetime64(b, '[M]'), np.datetime64('NaT', '[M]'))
assert_equal(np.datetime64(b, '[Y]'), np.datetime64('NaT', '[Y]'))
assert_equal(np.datetime64(b, '[W]'), np.datetime64('NaT', '[W]'))
# Arrays -> Scalars
assert_equal(np.datetime64(a, '[s]'), np.datetime64('NaT', '[s]'))
assert_equal(np.datetime64(a, '[ms]'), np.datetime64('NaT', '[ms]'))
assert_equal(np.datetime64(a, '[M]'), np.datetime64('NaT', '[M]'))
assert_equal(np.datetime64(a, '[Y]'), np.datetime64('NaT', '[Y]'))
assert_equal(np.datetime64(a, '[W]'), np.datetime64('NaT', '[W]'))
def test_days_creation(self):
assert_equal(np.array('1599', dtype='M8[D]').astype('i8'),
(1600-1970)*365 - (1972-1600)/4 + 3 - 365)
assert_equal(np.array('1600', dtype='M8[D]').astype('i8'),
(1600-1970)*365 - (1972-1600)/4 + 3)
assert_equal(np.array('1601', dtype='M8[D]').astype('i8'),
(1600-1970)*365 - (1972-1600)/4 + 3 + 366)
assert_equal(np.array('1900', dtype='M8[D]').astype('i8'),
(1900-1970)*365 - (1970-1900)//4)
assert_equal(np.array('1901', dtype='M8[D]').astype('i8'),
(1900-1970)*365 - (1970-1900)//4 + 365)
assert_equal(np.array('1967', dtype='M8[D]').astype('i8'), -3*365 - 1)
assert_equal(np.array('1968', dtype='M8[D]').astype('i8'), -2*365 - 1)
assert_equal(np.array('1969', dtype='M8[D]').astype('i8'), -1*365)
assert_equal(np.array('1970', dtype='M8[D]').astype('i8'), 0*365)
assert_equal(np.array('1971', dtype='M8[D]').astype('i8'), 1*365)
assert_equal(np.array('1972', dtype='M8[D]').astype('i8'), 2*365)
assert_equal(np.array('1973', dtype='M8[D]').astype('i8'), 3*365 + 1)
assert_equal(np.array('1974', dtype='M8[D]').astype('i8'), 4*365 + 1)
assert_equal(np.array('2000', dtype='M8[D]').astype('i8'),
(2000 - 1970)*365 + (2000 - 1972)//4)
assert_equal(np.array('2001', dtype='M8[D]').astype('i8'),
(2000 - 1970)*365 + (2000 - 1972)//4 + 366)
assert_equal(np.array('2400', dtype='M8[D]').astype('i8'),
(2400 - 1970)*365 + (2400 - 1972)//4 - 3)
assert_equal(np.array('2401', dtype='M8[D]').astype('i8'),
(2400 - 1970)*365 + (2400 - 1972)//4 - 3 + 366)
assert_equal(np.array('1600-02-29', dtype='M8[D]').astype('i8'),
(1600-1970)*365 - (1972-1600)//4 + 3 + 31 + 28)
assert_equal(np.array('1600-03-01', dtype='M8[D]').astype('i8'),
(1600-1970)*365 - (1972-1600)//4 + 3 + 31 + 29)
assert_equal(np.array('2000-02-29', dtype='M8[D]').astype('i8'),
(2000 - 1970)*365 + (2000 - 1972)//4 + 31 + 28)
assert_equal(np.array('2000-03-01', dtype='M8[D]').astype('i8'),
(2000 - 1970)*365 + (2000 - 1972)//4 + 31 + 29)
assert_equal(np.array('2001-03-22', dtype='M8[D]').astype('i8'),
(2000 - 1970)*365 + (2000 - 1972)//4 + 366 + 31 + 28 + 21)
def test_days_to_pydate(self):
assert_equal(np.array('1599', dtype='M8[D]').astype('O'),
datetime.date(1599, 1, 1))
assert_equal(np.array('1600', dtype='M8[D]').astype('O'),
datetime.date(1600, 1, 1))
assert_equal(np.array('1601', dtype='M8[D]').astype('O'),
datetime.date(1601, 1, 1))
assert_equal(np.array('1900', dtype='M8[D]').astype('O'),
datetime.date(1900, 1, 1))
assert_equal(np.array('1901', dtype='M8[D]').astype('O'),
datetime.date(1901, 1, 1))
assert_equal(np.array('2000', dtype='M8[D]').astype('O'),
datetime.date(2000, 1, 1))
assert_equal(np.array('2001', dtype='M8[D]').astype('O'),
datetime.date(2001, 1, 1))
assert_equal(np.array('1600-02-29', dtype='M8[D]').astype('O'),
datetime.date(1600, 2, 29))
assert_equal(np.array('1600-03-01', dtype='M8[D]').astype('O'),
datetime.date(1600, 3, 1))
assert_equal(np.array('2001-03-22', dtype='M8[D]').astype('O'),
datetime.date(2001, 3, 22))
def test_dtype_comparison(self):
assert_(not (np.dtype('M8[us]') == np.dtype('M8[ms]')))
assert_(np.dtype('M8[us]') != np.dtype('M8[ms]'))
assert_(np.dtype('M8[2D]') != np.dtype('M8[D]'))
assert_(np.dtype('M8[D]') != np.dtype('M8[2D]'))
def test_pydatetime_creation(self):
a = np.array(['1960-03-12', datetime.date(1960, 3, 12)], dtype='M8[D]')
assert_equal(a[0], a[1])
a = np.array(['1999-12-31', datetime.date(1999, 12, 31)], dtype='M8[D]')
assert_equal(a[0], a[1])
a = np.array(['2000-01-01', datetime.date(2000, 1, 1)], dtype='M8[D]')
assert_equal(a[0], a[1])
# Will fail if the date changes during the exact right moment
a = np.array(['today', datetime.date.today()], dtype='M8[D]')
assert_equal(a[0], a[1])
# datetime.datetime.now() returns local time, not UTC
#a = np.array(['now', datetime.datetime.now()], dtype='M8[s]')
#assert_equal(a[0], a[1])
# we can give a datetime.date time units
assert_equal(np.array(datetime.date(1960, 3, 12), dtype='M8[s]'),
np.array(np.datetime64('1960-03-12T00:00:00')))
def test_datetime_string_conversion(self):
a = ['2011-03-16', '1920-01-01', '2013-05-19']
str_a = np.array(a, dtype='S')
dt_a = np.array(a, dtype='M')
str_b = np.empty_like(str_a)
dt_b = np.empty_like(dt_a)
# String to datetime
assert_equal(dt_a, str_a.astype('M'))
assert_equal(dt_a.dtype, str_a.astype('M').dtype)
dt_b[...] = str_a
assert_equal(dt_a, dt_b)
# Datetime to string
assert_equal(str_a, dt_a.astype('S0'))
str_b[...] = dt_a
assert_equal(str_a, str_b)
# Convert the 'S' to 'U'
str_a = str_a.astype('U')
str_b = str_b.astype('U')
# Unicode to datetime
assert_equal(dt_a, str_a.astype('M'))
assert_equal(dt_a.dtype, str_a.astype('M').dtype)
dt_b[...] = str_a
assert_equal(dt_a, dt_b)
# Datetime to unicode
assert_equal(str_a, dt_a.astype('U'))
str_b[...] = dt_a
assert_equal(str_a, str_b)
def test_datetime_array_str(self):
a = np.array(['2011-03-16', '1920-01-01', '2013-05-19'], dtype='M')
assert_equal(str(a), "['2011-03-16' '1920-01-01' '2013-05-19']")
a = np.array(['2011-03-16T13:55', '1920-01-01T03:12'], dtype='M')
assert_equal(np.array2string(a, separator=', ',
formatter={'datetime': lambda x:
"'%s'" % np.datetime_as_string(x, timezone='UTC')}),
"['2011-03-16T13:55Z', '1920-01-01T03:12Z']")
# Check that one NaT doesn't corrupt subsequent entries
a = np.array(['2010', 'NaT', '2030']).astype('M')
assert_equal(str(a), "['2010' 'NaT' '2030']")
def test_timedelta_array_str(self):
a = np.array([-1, 0, 100], dtype='m')
assert_equal(str(a), "[ -1 0 100]")
a = np.array(['NaT', 'NaT'], dtype='m')
assert_equal(str(a), "['NaT' 'NaT']")
# Check right-alignment with NaTs
a = np.array([-1, 'NaT', 0], dtype='m')
assert_equal(str(a), "[ -1 'NaT' 0]")
a = np.array([-1, 'NaT', 1234567], dtype='m')
assert_equal(str(a), "[ -1 'NaT' 1234567]")
def test_pickle(self):
# Check that pickle roundtripping works
dt = np.dtype('M8[7D]')
assert_equal(pickle.loads(pickle.dumps(dt)), dt)
dt = np.dtype('M8[W]')
assert_equal(pickle.loads(pickle.dumps(dt)), dt)
# Check that loading pickles from 1.6 works
pkl = "cnumpy\ndtype\np0\n(S'M8'\np1\nI0\nI1\ntp2\nRp3\n" + \
"(I4\nS'<'\np4\nNNNI-1\nI-1\nI0\n((dp5\n(S'D'\np6\n" + \
"I7\nI1\nI1\ntp7\ntp8\ntp9\nb."
assert_equal(pickle.loads(asbytes(pkl)), np.dtype('<M8[7D]'))
pkl = "cnumpy\ndtype\np0\n(S'M8'\np1\nI0\nI1\ntp2\nRp3\n" + \
"(I4\nS'<'\np4\nNNNI-1\nI-1\nI0\n((dp5\n(S'W'\np6\n" + \
"I1\nI1\nI1\ntp7\ntp8\ntp9\nb."
assert_equal(pickle.loads(asbytes(pkl)), np.dtype('<M8[W]'))
pkl = "cnumpy\ndtype\np0\n(S'M8'\np1\nI0\nI1\ntp2\nRp3\n" + \
"(I4\nS'>'\np4\nNNNI-1\nI-1\nI0\n((dp5\n(S'us'\np6\n" + \
"I1\nI1\nI1\ntp7\ntp8\ntp9\nb."
assert_equal(pickle.loads(asbytes(pkl)), np.dtype('>M8[us]'))
def test_setstate(self):
"Verify that datetime dtype __setstate__ can handle bad arguments"
dt = np.dtype('>M8[us]')
assert_raises(ValueError, dt.__setstate__, (4, '>', None, None, None, -1, -1, 0, 1))
assert_(dt.__reduce__()[2] == np.dtype('>M8[us]').__reduce__()[2])
assert_raises(TypeError, dt.__setstate__, (4, '>', None, None, None, -1, -1, 0, ({}, 'xxx')))
assert_(dt.__reduce__()[2] == np.dtype('>M8[us]').__reduce__()[2])
def test_dtype_promotion(self):
# datetime <op> datetime computes the metadata gcd
# timedelta <op> timedelta computes the metadata gcd
for mM in ['m', 'M']:
assert_equal(
np.promote_types(np.dtype(mM+'8[2Y]'), np.dtype(mM+'8[2Y]')),
np.dtype(mM+'8[2Y]'))
assert_equal(
np.promote_types(np.dtype(mM+'8[12Y]'), np.dtype(mM+'8[15Y]')),
np.dtype(mM+'8[3Y]'))
assert_equal(
np.promote_types(np.dtype(mM+'8[62M]'), np.dtype(mM+'8[24M]')),
np.dtype(mM+'8[2M]'))
assert_equal(
np.promote_types(np.dtype(mM+'8[1W]'), np.dtype(mM+'8[2D]')),
np.dtype(mM+'8[1D]'))
assert_equal(
np.promote_types(np.dtype(mM+'8[W]'), np.dtype(mM+'8[13s]')),
np.dtype(mM+'8[s]'))
assert_equal(
np.promote_types(np.dtype(mM+'8[13W]'), np.dtype(mM+'8[49s]')),
np.dtype(mM+'8[7s]'))
# timedelta <op> timedelta raises when there is no reasonable gcd
assert_raises(TypeError, np.promote_types,
np.dtype('m8[Y]'), np.dtype('m8[D]'))
assert_raises(TypeError, np.promote_types,
np.dtype('m8[M]'), np.dtype('m8[W]'))
# timedelta <op> timedelta may overflow with big unit ranges
assert_raises(OverflowError, np.promote_types,
np.dtype('m8[W]'), np.dtype('m8[fs]'))
assert_raises(OverflowError, np.promote_types,
np.dtype('m8[s]'), np.dtype('m8[as]'))
def test_cast_overflow(self):
# gh-4486
def cast():
numpy.datetime64("1971-01-01 00:00:00.000000000000000").astype("<M8[D]")
assert_raises(OverflowError, cast)
def cast2():
numpy.datetime64("2014").astype("<M8[fs]")
assert_raises(OverflowError, cast2)
def test_pyobject_roundtrip(self):
# All datetime types should be able to roundtrip through object
a = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0,
-1020040340, -2942398, -1, 0, 1, 234523453, 1199164176],
dtype=np.int64)
# With date units
for unit in ['M8[D]', 'M8[W]', 'M8[M]', 'M8[Y]']:
b = a.copy().view(dtype=unit)
b[0] = '-0001-01-01'
b[1] = '-0001-12-31'
b[2] = '0000-01-01'
b[3] = '0001-01-01'
b[4] = '1969-12-31'
b[5] = '1970-01-01'
b[6] = '9999-12-31'
b[7] = '10000-01-01'
b[8] = 'NaT'
assert_equal(b.astype(object).astype(unit), b,
"Error roundtripping unit %s" % unit)
# With time units
for unit in ['M8[as]', 'M8[16fs]', 'M8[ps]', 'M8[us]',
'M8[300as]', 'M8[20us]']:
b = a.copy().view(dtype=unit)
b[0] = '-0001-01-01T00'
b[1] = '-0001-12-31T00'
b[2] = '0000-01-01T00'
b[3] = '0001-01-01T00'
b[4] = '1969-12-31T23:59:59.999999'
b[5] = '1970-01-01T00'
b[6] = '9999-12-31T23:59:59.999999'
b[7] = '10000-01-01T00'
b[8] = 'NaT'
assert_equal(b.astype(object).astype(unit), b,
"Error roundtripping unit %s" % unit)
def test_month_truncation(self):
# Make sure that months are truncating correctly
assert_equal(np.array('1945-03-01', dtype='M8[M]'),
np.array('1945-03-31', dtype='M8[M]'))
assert_equal(np.array('1969-11-01', dtype='M8[M]'),
np.array('1969-11-30T23:59:59.99999', dtype='M').astype('M8[M]'))
assert_equal(np.array('1969-12-01', dtype='M8[M]'),
np.array('1969-12-31T23:59:59.99999', dtype='M').astype('M8[M]'))
assert_equal(np.array('1970-01-01', dtype='M8[M]'),
np.array('1970-01-31T23:59:59.99999', dtype='M').astype('M8[M]'))
assert_equal(np.array('1980-02-01', dtype='M8[M]'),
np.array('1980-02-29T23:59:59.99999', dtype='M').astype('M8[M]'))
def test_different_unit_comparison(self):
# Check some years with date units
for unit1 in ['Y', 'M', 'D']:
dt1 = np.dtype('M8[%s]' % unit1)
for unit2 in ['Y', 'M', 'D']:
dt2 = np.dtype('M8[%s]' % unit2)
assert_equal(np.array('1945', dtype=dt1),
np.array('1945', dtype=dt2))
assert_equal(np.array('1970', dtype=dt1),
np.array('1970', dtype=dt2))
assert_equal(np.array('9999', dtype=dt1),
np.array('9999', dtype=dt2))
assert_equal(np.array('10000', dtype=dt1),
np.array('10000-01-01', dtype=dt2))
assert_equal(np.datetime64('1945', unit1),
np.datetime64('1945', unit2))
assert_equal(np.datetime64('1970', unit1),
np.datetime64('1970', unit2))
assert_equal(np.datetime64('9999', unit1),
np.datetime64('9999', unit2))
assert_equal(np.datetime64('10000', unit1),
np.datetime64('10000-01-01', unit2))
# Check some datetimes with time units
for unit1 in ['6h', 'h', 'm', 's', '10ms', 'ms', 'us']:
dt1 = np.dtype('M8[%s]' % unit1)
for unit2 in ['h', 'm', 's', 'ms', 'us']:
dt2 = np.dtype('M8[%s]' % unit2)
assert_equal(np.array('1945-03-12T18', dtype=dt1),
np.array('1945-03-12T18', dtype=dt2))
assert_equal(np.array('1970-03-12T18', dtype=dt1),
np.array('1970-03-12T18', dtype=dt2))
assert_equal(np.array('9999-03-12T18', dtype=dt1),
np.array('9999-03-12T18', dtype=dt2))
assert_equal(np.array('10000-01-01T00', dtype=dt1),
np.array('10000-01-01T00', dtype=dt2))
assert_equal(np.datetime64('1945-03-12T18', unit1),
np.datetime64('1945-03-12T18', unit2))
assert_equal(np.datetime64('1970-03-12T18', unit1),
np.datetime64('1970-03-12T18', unit2))
assert_equal(np.datetime64('9999-03-12T18', unit1),
np.datetime64('9999-03-12T18', unit2))
assert_equal(np.datetime64('10000-01-01T00', unit1),
np.datetime64('10000-01-01T00', unit2))
# Check some days with units that won't overflow
for unit1 in ['D', '12h', 'h', 'm', 's', '4s', 'ms', 'us']:
dt1 = np.dtype('M8[%s]' % unit1)
for unit2 in ['D', 'h', 'm', 's', 'ms', 'us']:
dt2 = np.dtype('M8[%s]' % unit2)
assert_(np.equal(np.array('1932-02-17', dtype='M').astype(dt1),
np.array('1932-02-17T00:00:00', dtype='M').astype(dt2),
casting='unsafe'))
assert_(np.equal(np.array('10000-04-27', dtype='M').astype(dt1),
np.array('10000-04-27T00:00:00', dtype='M').astype(dt2),
casting='unsafe'))
# Shouldn't be able to compare datetime and timedelta
# TODO: Changing to 'same_kind' or 'safe' casting in the ufuncs by
# default is needed to properly catch this kind of thing...
a = np.array('2012-12-21', dtype='M8[D]')
b = np.array(3, dtype='m8[D]')
#assert_raises(TypeError, np.less, a, b)
assert_raises(TypeError, np.less, a, b, casting='same_kind')
def test_datetime_like(self):
a = np.array([3], dtype='m8[4D]')
b = np.array(['2012-12-21'], dtype='M8[D]')
assert_equal(np.ones_like(a).dtype, a.dtype)
assert_equal(np.zeros_like(a).dtype, a.dtype)
assert_equal(np.empty_like(a).dtype, a.dtype)
assert_equal(np.ones_like(b).dtype, b.dtype)
assert_equal(np.zeros_like(b).dtype, b.dtype)
assert_equal(np.empty_like(b).dtype, b.dtype)
def test_datetime_unary(self):
for tda, tdb, tdzero, tdone, tdmone in \
[
# One-dimensional arrays
(np.array([3], dtype='m8[D]'),
np.array([-3], dtype='m8[D]'),
np.array([0], dtype='m8[D]'),
np.array([1], dtype='m8[D]'),
np.array([-1], dtype='m8[D]')),
# NumPy scalars
(np.timedelta64(3, '[D]'),
np.timedelta64(-3, '[D]'),
np.timedelta64(0, '[D]'),
np.timedelta64(1, '[D]'),
np.timedelta64(-1, '[D]'))]:
# negative ufunc
assert_equal(-tdb, tda)
assert_equal((-tdb).dtype, tda.dtype)
assert_equal(np.negative(tdb), tda)
assert_equal(np.negative(tdb).dtype, tda.dtype)
# absolute ufunc
assert_equal(np.absolute(tdb), tda)
assert_equal(np.absolute(tdb).dtype, tda.dtype)
# sign ufunc
assert_equal(np.sign(tda), tdone)
assert_equal(np.sign(tdb), tdmone)
assert_equal(np.sign(tdzero), tdzero)
assert_equal(np.sign(tda).dtype, tda.dtype)
# The ufuncs always produce native-endian results
assert_
def test_datetime_add(self):
for dta, dtb, dtc, dtnat, tda, tdb, tdc in \
[
# One-dimensional arrays
(np.array(['2012-12-21'], dtype='M8[D]'),
np.array(['2012-12-24'], dtype='M8[D]'),
np.array(['2012-12-21T11'], dtype='M8[h]'),
np.array(['NaT'], dtype='M8[D]'),
np.array([3], dtype='m8[D]'),
np.array([11], dtype='m8[h]'),
np.array([3*24 + 11], dtype='m8[h]')),
# NumPy scalars
(np.datetime64('2012-12-21', '[D]'),
np.datetime64('2012-12-24', '[D]'),
np.datetime64('2012-12-21T11', '[h]'),
np.datetime64('NaT', '[D]'),
np.timedelta64(3, '[D]'),
np.timedelta64(11, '[h]'),
np.timedelta64(3*24 + 11, '[h]'))]:
# m8 + m8
assert_equal(tda + tdb, tdc)
assert_equal((tda + tdb).dtype, np.dtype('m8[h]'))
# m8 + bool
assert_equal(tdb + True, tdb + 1)
assert_equal((tdb + True).dtype, np.dtype('m8[h]'))
# m8 + int
assert_equal(tdb + 3*24, tdc)
assert_equal((tdb + 3*24).dtype, np.dtype('m8[h]'))
# bool + m8
assert_equal(False + tdb, tdb)
assert_equal((False + tdb).dtype, np.dtype('m8[h]'))
# int + m8
assert_equal(3*24 + tdb, tdc)
assert_equal((3*24 + tdb).dtype, np.dtype('m8[h]'))
# M8 + bool
assert_equal(dta + True, dta + 1)
assert_equal(dtnat + True, dtnat)
assert_equal((dta + True).dtype, np.dtype('M8[D]'))
# M8 + int
assert_equal(dta + 3, dtb)
assert_equal(dtnat + 3, dtnat)
assert_equal((dta + 3).dtype, np.dtype('M8[D]'))
# bool + M8
assert_equal(False + dta, dta)
assert_equal(False + dtnat, dtnat)
assert_equal((False + dta).dtype, np.dtype('M8[D]'))
# int + M8
assert_equal(3 + dta, dtb)
assert_equal(3 + dtnat, dtnat)
assert_equal((3 + dta).dtype, np.dtype('M8[D]'))
# M8 + m8
assert_equal(dta + tda, dtb)
assert_equal(dtnat + tda, dtnat)
assert_equal((dta + tda).dtype, np.dtype('M8[D]'))
# m8 + M8
assert_equal(tda + dta, dtb)
assert_equal(tda + dtnat, dtnat)
assert_equal((tda + dta).dtype, np.dtype('M8[D]'))
# In M8 + m8, the result goes to higher precision
assert_equal(np.add(dta, tdb, casting='unsafe'), dtc)
assert_equal(np.add(dta, tdb, casting='unsafe').dtype,
np.dtype('M8[h]'))
assert_equal(np.add(tdb, dta, casting='unsafe'), dtc)
assert_equal(np.add(tdb, dta, casting='unsafe').dtype,
np.dtype('M8[h]'))
# M8 + M8
assert_raises(TypeError, np.add, dta, dtb)
def test_datetime_subtract(self):
for dta, dtb, dtc, dtd, dte, dtnat, tda, tdb, tdc in \
[
# One-dimensional arrays
(np.array(['2012-12-21'], dtype='M8[D]'),
np.array(['2012-12-24'], dtype='M8[D]'),
np.array(['1940-12-24'], dtype='M8[D]'),
np.array(['1940-12-24T00'], dtype='M8[h]'),
np.array(['1940-12-23T13'], dtype='M8[h]'),
np.array(['NaT'], dtype='M8[D]'),
np.array([3], dtype='m8[D]'),
np.array([11], dtype='m8[h]'),
np.array([3*24 - 11], dtype='m8[h]')),
# NumPy scalars
(np.datetime64('2012-12-21', '[D]'),
np.datetime64('2012-12-24', '[D]'),
np.datetime64('1940-12-24', '[D]'),
np.datetime64('1940-12-24T00', '[h]'),
np.datetime64('1940-12-23T13', '[h]'),
np.datetime64('NaT', '[D]'),
np.timedelta64(3, '[D]'),
np.timedelta64(11, '[h]'),
np.timedelta64(3*24 - 11, '[h]'))]:
# m8 - m8
assert_equal(tda - tdb, tdc)
assert_equal((tda - tdb).dtype, np.dtype('m8[h]'))
assert_equal(tdb - tda, -tdc)
assert_equal((tdb - tda).dtype, np.dtype('m8[h]'))
# m8 - bool
assert_equal(tdc - True, tdc - 1)
assert_equal((tdc - True).dtype, np.dtype('m8[h]'))
# m8 - int
assert_equal(tdc - 3*24, -tdb)
assert_equal((tdc - 3*24).dtype, np.dtype('m8[h]'))
# int - m8
assert_equal(False - tdb, -tdb)
assert_equal((False - tdb).dtype, np.dtype('m8[h]'))
# int - m8
assert_equal(3*24 - tdb, tdc)
assert_equal((3*24 - tdb).dtype, np.dtype('m8[h]'))
# M8 - bool
assert_equal(dtb - True, dtb - 1)
assert_equal(dtnat - True, dtnat)
assert_equal((dtb - True).dtype, np.dtype('M8[D]'))
# M8 - int
assert_equal(dtb - 3, dta)
assert_equal(dtnat - 3, dtnat)
assert_equal((dtb - 3).dtype, np.dtype('M8[D]'))
# M8 - m8
assert_equal(dtb - tda, dta)
assert_equal(dtnat - tda, dtnat)
assert_equal((dtb - tda).dtype, np.dtype('M8[D]'))
# In M8 - m8, the result goes to higher precision
assert_equal(np.subtract(dtc, tdb, casting='unsafe'), dte)
assert_equal(np.subtract(dtc, tdb, casting='unsafe').dtype,
np.dtype('M8[h]'))
# M8 - M8 with different goes to higher precision
assert_equal(np.subtract(dtc, dtd, casting='unsafe'),
np.timedelta64(0, 'h'))
assert_equal(np.subtract(dtc, dtd, casting='unsafe').dtype,
np.dtype('m8[h]'))
assert_equal(np.subtract(dtd, dtc, casting='unsafe'),
np.timedelta64(0, 'h'))
assert_equal(np.subtract(dtd, dtc, casting='unsafe').dtype,
np.dtype('m8[h]'))
# m8 - M8
assert_raises(TypeError, np.subtract, tda, dta)
# bool - M8
assert_raises(TypeError, np.subtract, False, dta)
# int - M8
assert_raises(TypeError, np.subtract, 3, dta)
def test_datetime_multiply(self):
for dta, tda, tdb, tdc in \
[
# One-dimensional arrays
(np.array(['2012-12-21'], dtype='M8[D]'),
np.array([6], dtype='m8[h]'),
np.array([9], dtype='m8[h]'),
np.array([12], dtype='m8[h]')),
# NumPy scalars
(np.datetime64('2012-12-21', '[D]'),
np.timedelta64(6, '[h]'),
np.timedelta64(9, '[h]'),
np.timedelta64(12, '[h]'))]:
# m8 * int
assert_equal(tda * 2, tdc)
assert_equal((tda * 2).dtype, np.dtype('m8[h]'))
# int * m8
assert_equal(2 * tda, tdc)
assert_equal((2 * tda).dtype, np.dtype('m8[h]'))
# m8 * float
assert_equal(tda * 1.5, tdb)
assert_equal((tda * 1.5).dtype, np.dtype('m8[h]'))
# float * m8
assert_equal(1.5 * tda, tdb)
assert_equal((1.5 * tda).dtype, np.dtype('m8[h]'))
# m8 * m8
assert_raises(TypeError, np.multiply, tda, tdb)
# m8 * M8
assert_raises(TypeError, np.multiply, dta, tda)
# M8 * m8
assert_raises(TypeError, np.multiply, tda, dta)
# M8 * int
assert_raises(TypeError, np.multiply, dta, 2)
# int * M8
assert_raises(TypeError, np.multiply, 2, dta)
# M8 * float
assert_raises(TypeError, np.multiply, dta, 1.5)
# float * M8
assert_raises(TypeError, np.multiply, 1.5, dta)
# NaTs
with warnings.catch_warnings():
warnings.filterwarnings('ignore', category=RuntimeWarning)
nat = np.timedelta64('NaT')
def check(a, b, res):
assert_equal(a * b, res)
assert_equal(b * a, res)
for tp in (int, float):
check(nat, tp(2), nat)
check(nat, tp(0), nat)