| /dports/math/py-numpy/numpy-1.20.3/numpy/core/tests/ |
| H A D | test_datetime.py | 144 assert_(np.datetime64('NaT') != np.datetime64('NaT', 'us'))
145 assert_(np.datetime64('NaT', 'us') != np.datetime64('NaT'))
199 assert_equal(np.datetime64(), np.datetime64('NaT'))
210 assert_equal(np.datetime64(None), np.datetime64('NaT'))
529 assert_equal(np.datetime64(b, '[s]'), np.datetime64('NaT', '[s]'))
531 assert_equal(np.datetime64(b, '[M]'), np.datetime64('NaT', '[M]'))
532 assert_equal(np.datetime64(b, '[Y]'), np.datetime64('NaT', '[Y]'))
533 assert_equal(np.datetime64(b, '[W]'), np.datetime64('NaT', '[W]'))
536 assert_equal(np.datetime64(a, '[s]'), np.datetime64('NaT', '[s]'))
538 assert_equal(np.datetime64(a, '[M]'), np.datetime64('NaT', '[M]'))
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| H A D | test_cython.py | 78 assert not checks.is_td64(np.datetime64("now", "s"))
84 assert checks.is_dt64(np.datetime64(1234, "ns"))
85 assert checks.is_dt64(np.datetime64("NaT", "ns"))
96 dt64 = np.datetime64("2016-01-01", "ns")
118 dt64 = np.datetime64("2016-01-01", "ns")
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| /dports/math/py-numpy/numpy-1.20.3/doc/source/reference/ |
| H A D | arrays.datetime.rst | 57 >>> np.datetime64('nat')
58 numpy.datetime64('NaT')
99 >>> np.datetime64('2005') == np.datetime64('2005-01-01')
102 >>> np.datetime64('2010-03-14T15') == np.datetime64('2010-03-14T15:00:00.00')
140 >>> np.datetime64('2009-01-01') - np.datetime64('2008-01-01')
155 >>> np.datetime64('nat') - np.datetime64('2009-01-01')
159 numpy.datetime64('NaT')
325 >>> a = np.arange(np.datetime64('2011-07-11'), np.datetime64('2011-07-18'))
336 >>> np.busday_count(np.datetime64('2011-07-11'), np.datetime64('2011-07-18'))
338 >>> np.busday_count(np.datetime64('2011-07-18'), np.datetime64('2011-07-11'))
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| /dports/math/py-numpy/numpy-1.20.3/numpy/typing/tests/data/pass/ |
| H A D | scalars.py | 78 np.datetime64()
79 np.datetime64(0, "D")
80 np.datetime64(0, b"D")
81 np.datetime64(0, ('ms', 3))
82 np.datetime64("2019")
83 np.datetime64(b"2019")
84 np.datetime64("2019", "D")
85 np.datetime64(np.datetime64())
87 np.datetime64(None)
88 np.datetime64(dt.date(2000, 5, 3))
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| /dports/math/py-matplotlib/matplotlib-3.4.3/examples/ticks_and_spines/ |
| H A D | date_concise_formatter.py | 33 lims = [(np.datetime64('2005-02'), np.datetime64('2005-04')),
34 (np.datetime64('2005-02-03'), np.datetime64('2005-02-15')),
35 (np.datetime64('2005-02-03 11:00'), np.datetime64('2005-02-04 13:20'))]
72 munits.registry[np.datetime64] = converter
171 munits.registry[np.datetime64] = converter
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| /dports/math/py-numpy/numpy-1.20.3/doc/neps/ |
| H A D | nep-0004-datetime-proposal3.rst | 47 ``datetime64``
92 Building a ``datetime64`` dtype argument
99 dtype('datetime64[us]')
272 In [5]: numpy.datetime64(42, 'us')
273 Out[5]: datetime64(42, 'us')
275 In [6]: print numpy.datetime64(42, 'us')
282 Out[8]: datetime64(20273063, 'm')
303 dtype('datetime64[ms]')
340 ``datetime64`` vs ``datetime64``
375 ``datetime64`` vs ``timedelta64``
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| H A D | nep-0007-datetime-proposal.rst | 40 ``datetime64`` -- an absolute time.
143 ``datetime64``
163 Building a ``datetime64`` dtype
170 dtype('datetime64[us]')
315 In [5]: numpy.datetime64(42, 'us')
316 Out[5]: datetime64(42, 'us')
325 Out[8]: datetime64(20273063, 'm')
346 dtype('datetime64[ms]')
383 ``datetime64`` vs ``datetime64``
418 ``datetime64`` vs ``timedelta64``
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/dtypes/ |
| H A D | test_common.py | 221 assert com.is_datetime64_dtype(np.datetime64)
308 np.datetime64,
340 np.datetime64,
376 np.datetime64,
423 assert com.is_datetime64_any_dtype(np.datetime64)
434 assert not com.is_datetime64_ns_dtype(np.datetime64)
485 dt = np.datetime64(datetime(2017, 1, 1))
505 assert com.needs_i8_conversion(np.datetime64)
512 assert not com.is_numeric_dtype(np.datetime64)
700 (pd.DatetimeIndex([1, 2]), np.datetime64),
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| H A D | test_inference.py | 803 [np.datetime64("2011-01-01"), np.datetime64("2011-01-01")], dtype=object
924 [np.datetime64("2017-06-12"), np.datetime64("2017-03-11")],
1010 arr = np.array([np.datetime64("nat")])
1014 arr = np.array([n, np.datetime64("nat"), n])
1264 assert not is_number(np.datetime64("2011-01-01"))
1289 assert not is_bool(np.datetime64("2011-01-01"))
1311 assert not is_integer(np.datetime64("2011-01-01"))
1333 assert not is_float(np.datetime64("2011-01-01"))
1426 assert is_scalar(np.datetime64("2014-01-01"))
1433 np.array(np.datetime64("2014-01-01")),
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| /dports/databases/py-tiledb/tiledb-0.8.11/tiledb/tests/ |
| H A D | test_fragment_info.py | 310 domain=(np.datetime64("2010-01-01"), np.datetime64("2020")),
337 (np.datetime64("2017-04-01"), np.datetime64("2019-12-04")),
341 (np.datetime64("2010-01-01"), np.datetime64("2014-10-03")),
346 (np.datetime64("2017-04-01"), np.datetime64("2019-12-04")),
350 (np.datetime64("2010-01-01"), np.datetime64("2014-10-03")),
355 ((np.datetime64("2017-04-01"), np.datetime64("2019-12-04")),),
359 ((np.datetime64("2010-01-01"), np.datetime64("2014-10-03")),),
365 ((np.datetime64("2017-04-01"), np.datetime64("2019-12-04")),),
366 ((np.datetime64("2010-01-01"), np.datetime64("2014-10-03")),),
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| H A D | common.py | 176 elif np.issubdtype(dtype, np.datetime64):
177 return np.datetime64(datetime.datetime.max)
194 elif np.issubdtype(dtype, np.datetime64):
195 return np.datetime64(datetime.datetime.min)
216 start = np.datetime64(intmin + 1, units)
218 start = np.datetime64(start)
220 stop = np.datetime64(intmax, units)
222 stop = np.datetime64(stop)
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| H A D | test_libtiledb.py | 259 domain=(np.datetime64("2010-01-01"), np.datetime64("2020-01-01")),
268 dim.domain, (np.datetime64("2010-01-01"), np.datetime64("2020-01-01"))
284 domain=(np.datetime64("2010-01-01"), np.datetime64("2020-01-01")),
294 domain=(np.datetime64("2010"), np.datetime64("2020")),
301 dim.domain, (np.datetime64("2010", "Y"), np.datetime64("2020", "Y"))
307 domain=(np.datetime64("2010-01-01"), np.datetime64("2020")),
314 (np.datetime64("2010-01-01", "D"), np.datetime64("2020-01-01", "D")),
355 domain=(np.datetime64("2010-01-01"), np.datetime64("2020-01-01")),
2862 domain=(np.datetime64("2010-01-01"), np.datetime64("2020-01-01")),
2904 (np.datetime64("2011-01-31") - np.datetime64("2010-11-01") + 1)
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/core/ |
| H A D | dtypes.py | 70 elif np.issubdtype(dtype, np.datetime64):
71 fill_value = np.datetime64("NaT")
78 NAT_TYPES = {np.datetime64("NaT").dtype, np.timedelta64("NaT").dtype}
154 return np.issubdtype(dtype, np.datetime64) or np.issubdtype(dtype, np.timedelta64)
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/dtypes/cast/ |
| H A D | test_upcast.py | 63 np.datetime64("NaT"),
65 np.datetime64("NaT"),
66 np.datetime64("NaT"),
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| H A D | test_dict_compat.py | 9 data_datetime64 = {np.datetime64("1990-03-15"): 1, np.datetime64("2015-03-15"): 2}
|
| /dports/astro/py-metpy/MetPy-1.1.0/ |
| H A D | conftest.py | 114 numpy.array([numpy.datetime64('2018-07-01T00:00'),
115 numpy.datetime64('2018-07-01T06:00'),
116 numpy.datetime64('2018-07-01T12:00')]),
|
| /dports/databases/tiledb/TileDB-2.5.2/test/src/ |
| H A D | unit_arrow.py | 39 start = np.datetime64(intmin + 1, units)
41 start = np.datetime64(start)
43 stop = np.datetime64(intmax, units)
45 stop = np.datetime64(stop)
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| /dports/math/py-matplotlib/matplotlib-3.4.3/examples/text_labels_and_annotations/ |
| H A D | date.py | 54 datemin = np.datetime64(data['date'][0], 'Y')
55 datemax = np.datetime64(data['date'][-1], 'Y') + np.timedelta64(1, 'Y')
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| /dports/math/py-pandas/pandas-1.2.5/doc/source/whatsnew/ |
| H A D | v0.8.0.rst | 14 datetime64 dtype, there may be a number of bugs and incompatibilities
27 NumPy datetime64 dtype and 1.6 dependency
30 Time series data are now represented using NumPy's datetime64 dtype; thus,
35 clear of NumPy 1.6's datetime64 API functions (though limited as they are) and
57 - New datetime64 representation **speeds up join operations and data
99 datetime64
100 - **Optimized** support for datetime64-dtype data in Series and DataFrame
200 indexes use NumPy's ``datetime64`` data type instead of ``dtype=object`` arrays
251 There are bugs in the user-facing API with the nanosecond datetime64 unit
264 interaction with ``datetime64`` values to pandas's API you will be just
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| /dports/math/py-matplotlib2/matplotlib-2.2.4/examples/text_labels_and_annotations/ |
| H A D | date.py | 44 datemin = np.datetime64(r.date[0], 'Y')
45 datemax = np.datetime64(r.date[-1], 'Y') + np.timedelta64(1, 'Y')
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| /dports/math/py-matplotlib2/matplotlib-2.2.4/lib/mpl_examples/text_labels_and_annotations/ |
| H A D | date.py | 44 datemin = np.datetime64(r.date[0], 'Y')
45 datemax = np.datetime64(r.date[-1], 'Y') + np.timedelta64(1, 'Y')
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| /dports/math/py-matplotlib/matplotlib-3.4.3/lib/matplotlib/ |
| H A D | dates.py | 298 t0 = np.datetime64(get_epoch(), 's')
303 NaT_int = np.datetime64('NaT').astype(np.int64)
327 dt = (np.datetime64(get_epoch()) +
329 if dt < np.datetime64('0001-01-01') or dt >= np.datetime64('10000-01-01'):
417 if not np.issubdtype(d.dtype, np.datetime64):
449 ep = np.datetime64(get_epoch(), 'h').astype(float) / 24.
1767 dt = (np.datetime64('1970-01-01T00:00:00', 's') -
1768 np.datetime64(get_epoch(), 's')).astype(float)
1787 dt = (np.datetime64('1970-01-01T00:00:00', 's') -
1788 np.datetime64(get_epoch(), 's')).astype(float)
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| /dports/math/py-numpy/numpy-1.20.3/doc/source/release/ |
| H A D | 1.11.0-notes.rst | 19 * The datetime64 type is now timezone naive.
47 * The behavior of the datetime64 "not a time" (NaT) value will be changed
81 datetime64 changes
84 times in UTC. By default, creating a datetime64 object from a string or
88 >>> np.datetime64('2000-01-01T00:00:00')
92 A consensus of datetime64 users agreed that this behavior is undesirable
93 and at odds with how datetime64 is usually used (e.g., by `pandas
99 >>> np.datetime64('2000-01-01T00:00:00')
100 numpy.datetime64('2000-01-01T00:00:00')
106 >>> np.datetime64('2000-01-01T00:00:00-08')
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/reshape/ |
| H A D | test_cut.py | 433 lambda v: np.datetime64(v),
438 data = [np.datetime64("2012-12-13"), np.datetime64("2012-12-15")]
460 np.datetime64("2013-01-01"),
461 np.datetime64("2013-01-02"),
462 np.datetime64("2013-01-03"),
466 np.datetime64("2013-01-01"),
467 np.datetime64("2013-01-02"),
468 np.datetime64("2013-01-03"),
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| /dports/math/py-numpy/numpy-1.20.3/numpy/typing/tests/data/fail/ |
| H A D | scalars.py | 31 np.datetime64(0) # E: non-matching overload
64 np.datetime64(value="2019") # E: No overload variant
|