/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]')) [all …]
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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')) [all …]
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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)) [all …]
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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`` [all …]
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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`` [all …]
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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), [all …]
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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")), [all …]
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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) [all …]
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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}
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/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')]),
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/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 [all …]
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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) [all …]
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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') [all …]
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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
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