| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/scalar/timedelta/ |
| H A D | test_timedelta.py | 62 assert td == np.timedelta64(td.value, "ns")
65 assert td64 == np.timedelta64(td.value, "ns")
68 assert isinstance(td64, np.timedelta64)
288 assert Timedelta(0) == np.timedelta64(0, "ns")
289 assert Timedelta(10) == np.timedelta64(10, "ns")
381 assert Timedelta("10") == np.timedelta64(10, "ns")
382 assert Timedelta("10ns") == np.timedelta64(10, "ns")
383 assert Timedelta("100") == np.timedelta64(100, "ns")
431 d1 = np.timedelta64(1, "D")
441 np.timedelta64(1000 * (6 * 3600 + 1) + 10, "ms")
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| H A D | test_arithmetic.py | 31 np.timedelta64(10, "s"),
32 np.timedelta64(10000000000, "ns"),
54 np.timedelta64(1, "D") + np.timedelta64(10, "s"),
170 td_nat = np.timedelta64("NaT")
327 "td_nat", [NaT, np.timedelta64("NaT", "ns"), np.timedelta64("NaT")]
395 result = td / np.timedelta64(1, "D")
397 result = td / np.timedelta64(1, "s")
399 result = td / np.timedelta64(1, "ns")
469 result = np.timedelta64("NaT") / td
707 result = td % np.timedelta64(2, "h")
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| H A D | test_constructors.py | 10 expected = np.timedelta64(10, "D").astype("m8[ns]").view("i8")
17 expected += np.timedelta64(10, "s").astype("m8[ns]").view("i8")
113 expected = np.timedelta64(10, "s").astype("m8[ns]").view("i8") + np.timedelta64(
154 expected = np.timedelta64(1, npkwarg).astype("m8[ns]").view("i8")
296 expected = Timedelta(np.timedelta64(1, "s"))
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| /dports/math/py-numpy/numpy-1.20.3/numpy/core/tests/ |
| H A D | test_datetime.py | 336 assert_equal(np.timedelta64(), np.timedelta64(0))
339 assert_equal(np.timedelta64(None), np.timedelta64('NaT'))
1188 (np.timedelta64(1890),
1189 np.timedelta64(31),
1213 np.timedelta64(-1)),
1264 (np.timedelta64(1890),
1265 np.timedelta64(31)),
1288 np.timedelta64(-1)),
1354 assert_equal(np.timedelta64(1) / float('inf'), np.timedelta64(0))
1355 assert_equal(np.timedelta64(0) / float('inf'), np.timedelta64(0))
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| H A D | test_cython.py | 71 assert checks.is_td64(np.timedelta64(1234))
72 assert checks.is_td64(np.timedelta64(1234, "ns"))
73 assert checks.is_td64(np.timedelta64("NaT", "ns"))
90 assert not checks.is_dt64(np.timedelta64(1234))
107 td64 = np.timedelta64(12345, "h")
123 td64 = np.timedelta64(12345, "h")
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| /dports/math/py-numpy/numpy-1.20.3/numpy/typing/tests/data/pass/ |
| H A D | scalars.py | 91 np.timedelta64()
92 np.timedelta64(0)
93 np.timedelta64(0, "D")
94 np.timedelta64(0, ('ms', 3))
95 np.timedelta64(0, b"D")
96 np.timedelta64("3")
97 np.timedelta64(b"5")
98 np.timedelta64(np.timedelta64(2))
100 np.timedelta64(None)
101 np.timedelta64(None, "D")
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/tools/ |
| H A D | test_to_timedelta.py | 28 result = to_timedelta(np.array([np.timedelta64(1, "s")]))
29 expected = pd.Index(np.array([np.timedelta64(1, "s")]))
39 [np.timedelta64(0, "ns"), np.timedelta64(10, "s").astype("m8[ns]")]
47 expected = TimedeltaIndex([np.timedelta64(1, "s")] * 5)
52 expected = TimedeltaIndex([np.timedelta64(1, "m")] * 5)
57 expected = TimedeltaIndex([np.timedelta64(1, "h")] * 5)
62 expected = TimedeltaIndex([np.timedelta64(1, "s")] * 5)
67 expected = TimedeltaIndex([np.timedelta64(1, "D")] * 5)
157 expected = Series([np.timedelta64(1, "s")])
166 timedelta_NaT = np.timedelta64("NaT")
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/scalar/timestamp/ |
| H A D | test_arithmetic.py | 133 td64 = np.timedelta64(1, "D")
140 ("S", timedelta(seconds=1), np.timedelta64(1, "s")),
141 ("min", timedelta(minutes=1), np.timedelta64(1, "m")),
142 ("H", timedelta(hours=1), np.timedelta64(1, "h")),
143 ("D", timedelta(days=1), np.timedelta64(1, "D")),
144 ("W", timedelta(weeks=1), np.timedelta64(1, "W")),
145 ("M", None, np.timedelta64(1, "M")),
174 (np.timedelta64(-123, "ns"), -123),
175 (np.timedelta64(1234567898, "ns"), 1234567898),
176 (np.timedelta64(-123, "us"), -123000),
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| /dports/math/py-numpy/numpy-1.20.3/doc/source/reference/ |
| H A D | arrays.datetime.rst | 126 >>> np.timedelta64(1, 'D')
127 numpy.timedelta64(1,'D')
129 >>> np.timedelta64(4, 'h')
130 numpy.timedelta64(4,'h')
132 >>> np.timedelta64('nAt')
133 numpy.timedelta64('NaT')
141 numpy.timedelta64(366,'D')
149 >>> np.timedelta64(1,'W') / np.timedelta64(1,'D')
152 >>> np.timedelta64(1,'W') % np.timedelta64(10,'D')
153 numpy.timedelta64(7,'D')
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/arithmetic/ |
| H A D | conftest.py | 124 np.timedelta64(3, "D"),
125 np.timedelta64(72, "h"),
143 np.timedelta64(2, "h"),
144 np.timedelta64(120, "m"),
166 np.timedelta64(30, "s"),
181 np.timedelta64(4, "h"),
197 np.timedelta64(365, "D"),
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| /dports/math/py-numpy/numpy-1.20.3/doc/neps/ |
| H A D | nep-0004-datetime-proposal3.rst | 159 ``timedelta64``
202 Building a ``timedelta64`` dtype argument
209 dtype('timedelta64[us]')
231 repr(t[1]) --> timedelta64(13, 'ms')
307 In [5]: numpy.timedelta64(10, 'us')
308 Out[5]: timedelta64(10, 'us')
334 dtype('timedelta64[s]')
367 array([1, 1, 1], dtype="timedelta64[Y]")
375 ``datetime64`` vs ``timedelta64``
407 ``timedelta64`` vs ``timedelta64``
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| H A D | nep-0007-datetime-proposal.rst | 231 ``timedelta64``
245 Building a ``timedelta64`` dtype
252 dtype('timedelta64[us]')
274 repr(t[1]) --> timedelta64(13, 'ms')
350 In [5]: numpy.timedelta64(10, 'us')
351 Out[5]: timedelta64(10, 'us')
377 dtype('timedelta64[s]')
410 array([1, 1, 1], dtype="timedelta64[Y]")
418 ``datetime64`` vs ``timedelta64``
450 ``timedelta64`` vs ``timedelta64``
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| /dports/math/py-pandas/pandas-1.2.5/pandas/_libs/tslibs/ |
| H A D | timedeltas.pyx | 179 - timedelta64
187 return np.timedelta64(NPY_NAT)
190 ts = np.timedelta64(ts.value)
194 return np.timedelta64(NPY_NAT)
205 ts = np.timedelta64(ts)
211 ts = np.timedelta64(ts)
217 ts = np.timedelta64(ts)
225 return ts.astype('timedelta64[ns]')
821 numpy.timedelta64
876 def asm8(self) -> np.timedelta64:
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| /dports/math/py-pandas/pandas-1.2.5/doc/source/user_guide/ |
| H A D | timedeltas.rst | 40 # from a datetime.timedelta/np.timedelta64
42 pd.Timedelta(np.timedelta64(1, "ms"))
248 td / np.timedelta64(1, "D")
249 td.astype("timedelta64[D]")
252 td / np.timedelta64(1, "s")
253 td.astype("timedelta64[s]")
256 td / np.timedelta64(1, "M")
259 yields another ``timedelta64[ns]`` dtypes Series.
353 np.timedelta64(2, "D"),
453 tdi / np.timedelta64(1, "s")
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/scalar/interval/ |
| H A D | test_arithmetic.py | 18 "delta", [Timedelta(days=7), timedelta(7), np.timedelta64(7, "D")]
32 "delta", [Timedelta(days=7), timedelta(7), np.timedelta64(7, "D")]
50 @pytest.mark.parametrize("klass", [timedelta, np.timedelta64, Timedelta])
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/core/ |
| H A D | dtypes.py | 60 elif np.issubdtype(dtype, np.timedelta64):
64 fill_value = np.timedelta64("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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| H A D | duck_array_ops.py | 107 if issubclass(scalar_type, (np.datetime64, np.timedelta64)):
466 array = array / np.timedelta64(1, datetime_unit)
488 elif isinstance(value, np.timedelta64):
521 conversion_factor = np.timedelta64(1, "ns") / np.timedelta64(1, datetime_unit)
541 conversion_factor = np.timedelta64(1, "us") / np.timedelta64(1, datetime_unit)
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/dtypes/ |
| H A D | test_common.py | 242 assert com.is_timedelta64_dtype(np.timedelta64)
309 np.timedelta64,
312 np.array([], dtype=np.timedelta64),
341 np.timedelta64,
344 np.array([], dtype=np.timedelta64),
377 np.timedelta64,
380 np.array([], dtype=np.timedelta64),
466 assert com.is_datetime_or_timedelta_dtype(np.timedelta64)
513 assert not com.is_numeric_dtype(np.timedelta64)
729 @pytest.mark.parametrize("from_type", [np.datetime64, np.timedelta64])
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| H A D | test_inference.py | 563 exp = np.array([np.timedelta64("NaT"), np.timedelta64(1, "s")], dtype="m8[ns]")
867 np.array([np.timedelta64(1, "D"), np.timedelta64(2, "D")], dtype=object),
936 [np.timedelta64(2017, "D"), np.timedelta64(6, "s")],
1020 arr = np.array([np.timedelta64("nat")], dtype=object)
1024 arr = np.array([n, np.timedelta64("nat"), n])
1272 assert is_number(np.timedelta64(1, "D"))
1293 assert not is_bool(np.timedelta64(1, "D"))
1316 assert not is_integer(np.timedelta64(1, "D"))
1337 assert not is_float(np.timedelta64(1, "D"))
1427 assert is_scalar(np.timedelta64(1, "h"))
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/scalar/ |
| H A D | test_nat.py | 424 "val,expected", [(np.nan, NaT), (NaT, np.nan), (np.timedelta64("NaT"), np.nan)]
549 @pytest.mark.parametrize("other", [np.timedelta64(0, "ns"), np.datetime64("now", "ns")])
666 np.timedelta64(3, "h"),
667 np.timedelta64(4, "h"),
668 np.timedelta64(3200, "s"),
669 np.timedelta64(3600, "s"),
670 np.timedelta64(3600 * 24, "s"),
671 np.timedelta64(2, "D"),
672 np.timedelta64(365, "D"),
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/groupby/ |
| H A D | test_libgroupby.py | 225 data = np.array([np.timedelta64(1, "ns")] * 5, dtype="m8[ns]")[:, None]
230 np.timedelta64(1, "ns"),
231 np.timedelta64(2, "ns"),
232 np.timedelta64(3, "ns"),
233 np.timedelta64(4, "ns"),
234 np.timedelta64(5, "ns"),
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/scalar/period/ |
| H A D | test_period.py | 1266 np.timedelta64(365, "D"),
1301 np.timedelta64(365, "D"),
1338 np.timedelta64(2, "D") + p
1357 np.timedelta64(4, "h"),
1393 np.timedelta64(3, "h") + p
1398 np.timedelta64(3600, "s") + p
1412 np.timedelta64(3200, "s"),
1444 np.timedelta64(365, "D"),
1459 np.timedelta64(365, "D"),
1479 np.timedelta64(4, "h"),
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| /dports/math/py-pandas/pandas-1.2.5/pandas/tests/reshape/ |
| H A D | test_cut.py | 148 [np.timedelta64(-1), np.timedelta64(0), np.timedelta64(1)],
151 np.timedelta64(-np.iinfo(np.int64).max),
152 np.timedelta64(0),
153 np.timedelta64(np.iinfo(np.int64).max),
158 (np.timedelta64(-np.iinfo(np.int64).max), np.timedelta64(0)),
159 (np.timedelta64(0), np.timedelta64(np.iinfo(np.int64).max)),
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/tests/ |
| H A D | test_coding_times.py | 133 assert (abs_diff <= np.timedelta64(1, "s")).all()
213 assert (abs_diff <= np.timedelta64(1, "s")).all()
238 assert (abs_diff <= np.timedelta64(1, "s")).all()
265 assert (abs_diff <= np.timedelta64(1, "s")).all()
341 assert (abs_diff1 <= np.timedelta64(1, "s")).all()
342 assert (abs_diff2 <= np.timedelta64(1, "s")).all()
382 assert (abs_diff1 <= np.timedelta64(1, "s")).all()
383 assert (abs_diff2 <= np.timedelta64(1, "s")).all()
416 assert (abs_diff1 <= np.timedelta64(1, "s")).all()
585 timedeltas = np.timedelta64("NaT", "ns")
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| /dports/devel/py-xarray/xarray-0.20.1/xarray/coding/ |
| H A D | times.py | 298 return np.timedelta64(_NS_PER_TIME_DELTA[numpy_units], "ns")
310 zero_timedelta = np.timedelta64(0, "ns")
463 time_delta = np.timedelta64(1, delta_units).astype("timedelta64[ns]")
479 if np.all(time_deltas % time_delta == np.timedelta64(0, "ns")):
497 num = 1.0 * timedeltas / np.timedelta64(1, np_unit)
542 if np.issubdtype(data.dtype, np.timedelta64):
|