Python pandas.tseries.offsets.Second() Examples
The following are 27
code examples of pandas.tseries.offsets.Second().
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Example #1
| Source File: test_libfrequencies.py From vnpy_crypto with MIT License | 7 votes |
|
def test_is_superperiod_subperiod():
# input validation
assert not (is_superperiod(offsets.YearEnd(), None))
assert not (is_subperiod(offsets.MonthEnd(), None))
assert not (is_superperiod(None, offsets.YearEnd()))
assert not (is_subperiod(None, offsets.MonthEnd()))
assert not (is_superperiod(None, None))
assert not (is_subperiod(None, None))
assert (is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
assert (is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))
assert (is_superperiod(offsets.Hour(), offsets.Minute()))
assert (is_subperiod(offsets.Minute(), offsets.Hour()))
assert (is_superperiod(offsets.Second(), offsets.Milli()))
assert (is_subperiod(offsets.Milli(), offsets.Second()))
assert (is_superperiod(offsets.Milli(), offsets.Micro()))
assert (is_subperiod(offsets.Micro(), offsets.Milli()))
assert (is_superperiod(offsets.Micro(), offsets.Nano()))
assert (is_subperiod(offsets.Nano(), offsets.Micro()))
Example #2
| Source File: test_libfrequencies.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_is_superperiod_subperiod():
# input validation
assert not (is_superperiod(offsets.YearEnd(), None))
assert not (is_subperiod(offsets.MonthEnd(), None))
assert not (is_superperiod(None, offsets.YearEnd()))
assert not (is_subperiod(None, offsets.MonthEnd()))
assert not (is_superperiod(None, None))
assert not (is_subperiod(None, None))
assert (is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
assert (is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))
assert (is_superperiod(offsets.Hour(), offsets.Minute()))
assert (is_subperiod(offsets.Minute(), offsets.Hour()))
assert (is_superperiod(offsets.Second(), offsets.Milli()))
assert (is_subperiod(offsets.Milli(), offsets.Second()))
assert (is_superperiod(offsets.Milli(), offsets.Micro()))
assert (is_subperiod(offsets.Micro(), offsets.Milli()))
assert (is_superperiod(offsets.Micro(), offsets.Nano()))
assert (is_subperiod(offsets.Nano(), offsets.Micro()))
Example #3
| Source File: test_ticks.py From recruit with Apache License 2.0 | 6 votes |
|
def test_Second():
assert_offset_equal(Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 1))
assert_offset_equal(Second(-1),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert_offset_equal(2 * Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 2))
assert_offset_equal(-1 * Second(),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert Second(3) + Second(2) == Second(5)
assert Second(3) - Second(2) == Second()
Example #4
| Source File: test_ticks.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_Second():
assert_offset_equal(Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 1))
assert_offset_equal(Second(-1),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert_offset_equal(2 * Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 2))
assert_offset_equal(-1 * Second(),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert Second(3) + Second(2) == Second(5)
assert Second(3) - Second(2) == Second()
Example #5
| Source File: test_ticks.py From vnpy_crypto with MIT License | 6 votes |
|
def test_Second():
assert_offset_equal(Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 1))
assert_offset_equal(Second(-1),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert_offset_equal(2 * Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 2))
assert_offset_equal(-1 * Second(),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert Second(3) + Second(2) == Second(5)
assert Second(3) - Second(2) == Second()
Example #6
| Source File: test_ticks.py From coffeegrindsize with MIT License | 6 votes |
|
def test_Second():
assert_offset_equal(Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 1))
assert_offset_equal(Second(-1),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert_offset_equal(2 * Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 2))
assert_offset_equal(-1 * Second(),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert Second(3) + Second(2) == Second(5)
assert Second(3) - Second(2) == Second()
Example #7
| Source File: test_ticks.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_Second():
assert_offset_equal(Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 1))
assert_offset_equal(Second(-1),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert_offset_equal(2 * Second(),
datetime(2010, 1, 1),
datetime(2010, 1, 1, 0, 0, 2))
assert_offset_equal(-1 * Second(),
datetime(2010, 1, 1, 0, 0, 1),
datetime(2010, 1, 1))
assert Second(3) + Second(2) == Second(5)
assert Second(3) - Second(2) == Second()
Example #8
| Source File: test_frequencies.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_is_superperiod_subperiod():
# input validation
assert not (frequencies.is_superperiod(offsets.YearEnd(), None))
assert not (frequencies.is_subperiod(offsets.MonthEnd(), None))
assert not (frequencies.is_superperiod(None, offsets.YearEnd()))
assert not (frequencies.is_subperiod(None, offsets.MonthEnd()))
assert not (frequencies.is_superperiod(None, None))
assert not (frequencies.is_subperiod(None, None))
assert (frequencies.is_superperiod(offsets.YearEnd(), offsets.MonthEnd()))
assert (frequencies.is_subperiod(offsets.MonthEnd(), offsets.YearEnd()))
assert (frequencies.is_superperiod(offsets.Hour(), offsets.Minute()))
assert (frequencies.is_subperiod(offsets.Minute(), offsets.Hour()))
assert (frequencies.is_superperiod(offsets.Second(), offsets.Milli()))
assert (frequencies.is_subperiod(offsets.Milli(), offsets.Second()))
assert (frequencies.is_superperiod(offsets.Milli(), offsets.Micro()))
assert (frequencies.is_subperiod(offsets.Micro(), offsets.Milli()))
assert (frequencies.is_superperiod(offsets.Micro(), offsets.Nano()))
assert (frequencies.is_subperiod(offsets.Nano(), offsets.Micro()))
Example #9
| Source File: test_frequencies.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_to_offset_pd_timedelta(self):
# Tests for #9064
td = Timedelta(days=1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(86401)
assert (expected == result)
td = Timedelta(days=-1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(-86399)
assert (expected == result)
td = Timedelta(hours=1, minutes=10)
result = frequencies.to_offset(td)
expected = offsets.Minute(70)
assert (expected == result)
td = Timedelta(hours=1, minutes=-10)
result = frequencies.to_offset(td)
expected = offsets.Minute(50)
assert (expected == result)
td = Timedelta(weeks=1)
result = frequencies.to_offset(td)
expected = offsets.Day(7)
assert (expected == result)
td1 = Timedelta(hours=1)
result1 = frequencies.to_offset(td1)
result2 = frequencies.to_offset('60min')
assert (result1 == result2)
td = Timedelta(microseconds=1)
result = frequencies.to_offset(td)
expected = offsets.Micro(1)
assert (expected == result)
td = Timedelta(microseconds=0)
pytest.raises(ValueError, lambda: frequencies.to_offset(td))
Example #10
| Source File: test_frequencies.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_to_offset_pd_timedelta(self):
# Tests for #9064
td = Timedelta(days=1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(86401)
assert (expected == result)
td = Timedelta(days=-1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(-86399)
assert (expected == result)
td = Timedelta(hours=1, minutes=10)
result = frequencies.to_offset(td)
expected = offsets.Minute(70)
assert (expected == result)
td = Timedelta(hours=1, minutes=-10)
result = frequencies.to_offset(td)
expected = offsets.Minute(50)
assert (expected == result)
td = Timedelta(weeks=1)
result = frequencies.to_offset(td)
expected = offsets.Day(7)
assert (expected == result)
td1 = Timedelta(hours=1)
result1 = frequencies.to_offset(td1)
result2 = frequencies.to_offset('60min')
assert (result1 == result2)
td = Timedelta(microseconds=1)
result = frequencies.to_offset(td)
expected = offsets.Micro(1)
assert (expected == result)
td = Timedelta(microseconds=0)
pytest.raises(ValueError, lambda: frequencies.to_offset(td))
Example #11
| Source File: test_converter.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_resolution(self):
def _assert_less(ts1, ts2):
val1 = self.dtc.convert(ts1, None, None)
val2 = self.dtc.convert(ts2, None, None)
if not val1 < val2:
raise AssertionError('{0} is not less than {1}.'.format(val1,
val2))
# Matplotlib's time representation using floats cannot distinguish
# intervals smaller than ~10 microsecond in the common range of years.
ts = Timestamp('2012-1-1')
_assert_less(ts, ts + Second())
_assert_less(ts, ts + Milli())
_assert_less(ts, ts + Micro(50))
Example #12
| Source File: test_timedelta_range.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_timedelta_range(self):
expected = to_timedelta(np.arange(5), unit='D')
result = timedelta_range('0 days', periods=5, freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11), unit='D')
result = timedelta_range('0 days', '10 days', freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50), unit='T') * 30
result = timedelta_range('0 days', freq='30T', periods=50)
tm.assert_index_equal(result, expected)
# GH 11776
arr = np.arange(10).reshape(2, 5)
df = pd.DataFrame(np.arange(10).reshape(2, 5))
for arg in (arr, df):
with tm.assert_raises_regex(TypeError, "1-d array"):
to_timedelta(arg)
for errors in ['ignore', 'raise', 'coerce']:
with tm.assert_raises_regex(TypeError, "1-d array"):
to_timedelta(arg, errors=errors)
# issue10583
df = pd.DataFrame(np.random.normal(size=(10, 4)))
df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
expected = df.loc[pd.Timedelta('0s'):, :]
result = df.loc['0s':, :]
tm.assert_frame_equal(expected, result)
Example #13
| Source File: test_frequencies.py From coffeegrindsize with MIT License | 5 votes |
|
def test_to_offset_pd_timedelta(self):
# Tests for #9064
td = Timedelta(days=1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(86401)
assert (expected == result)
td = Timedelta(days=-1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(-86399)
assert (expected == result)
td = Timedelta(hours=1, minutes=10)
result = frequencies.to_offset(td)
expected = offsets.Minute(70)
assert (expected == result)
td = Timedelta(hours=1, minutes=-10)
result = frequencies.to_offset(td)
expected = offsets.Minute(50)
assert (expected == result)
td = Timedelta(weeks=1)
result = frequencies.to_offset(td)
expected = offsets.Day(7)
assert (expected == result)
td1 = Timedelta(hours=1)
result1 = frequencies.to_offset(td1)
result2 = frequencies.to_offset('60min')
assert (result1 == result2)
td = Timedelta(microseconds=1)
result = frequencies.to_offset(td)
expected = offsets.Micro(1)
assert (expected == result)
td = Timedelta(microseconds=0)
pytest.raises(ValueError, lambda: frequencies.to_offset(td))
Example #14
| Source File: test_converter.py From coffeegrindsize with MIT License | 5 votes |
|
def test_resolution(self):
def _assert_less(ts1, ts2):
val1 = self.dtc.convert(ts1, None, None)
val2 = self.dtc.convert(ts2, None, None)
if not val1 < val2:
raise AssertionError('{0} is not less than {1}.'.format(val1,
val2))
# Matplotlib's time representation using floats cannot distinguish
# intervals smaller than ~10 microsecond in the common range of years.
ts = Timestamp('2012-1-1')
_assert_less(ts, ts + Second())
_assert_less(ts, ts + Milli())
_assert_less(ts, ts + Micro(50))
Example #15
| Source File: test_timedelta_range.py From coffeegrindsize with MIT License | 5 votes |
|
def test_timedelta_range(self):
expected = to_timedelta(np.arange(5), unit='D')
result = timedelta_range('0 days', periods=5, freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11), unit='D')
result = timedelta_range('0 days', '10 days', freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50), unit='T') * 30
result = timedelta_range('0 days', freq='30T', periods=50)
tm.assert_index_equal(result, expected)
# GH 11776
arr = np.arange(10).reshape(2, 5)
df = pd.DataFrame(np.arange(10).reshape(2, 5))
for arg in (arr, df):
with pytest.raises(TypeError, match="1-d array"):
to_timedelta(arg)
for errors in ['ignore', 'raise', 'coerce']:
with pytest.raises(TypeError, match="1-d array"):
to_timedelta(arg, errors=errors)
# issue10583
df = pd.DataFrame(np.random.normal(size=(10, 4)))
df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
expected = df.loc[pd.Timedelta('0s'):, :]
result = df.loc['0s':, :]
tm.assert_frame_equal(expected, result)
Example #16
| Source File: test_frequencies.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_to_offset_pd_timedelta(self):
# Tests for #9064
td = Timedelta(days=1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(86401)
assert (expected == result)
td = Timedelta(days=-1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(-86399)
assert (expected == result)
td = Timedelta(hours=1, minutes=10)
result = frequencies.to_offset(td)
expected = offsets.Minute(70)
assert (expected == result)
td = Timedelta(hours=1, minutes=-10)
result = frequencies.to_offset(td)
expected = offsets.Minute(50)
assert (expected == result)
td = Timedelta(weeks=1)
result = frequencies.to_offset(td)
expected = offsets.Day(7)
assert (expected == result)
td1 = Timedelta(hours=1)
result1 = frequencies.to_offset(td1)
result2 = frequencies.to_offset('60min')
assert (result1 == result2)
td = Timedelta(microseconds=1)
result = frequencies.to_offset(td)
expected = offsets.Micro(1)
assert (expected == result)
td = Timedelta(microseconds=0)
pytest.raises(ValueError, lambda: frequencies.to_offset(td))
Example #17
| Source File: test_converter.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_resolution(self):
def _assert_less(ts1, ts2):
val1 = self.dtc.convert(ts1, None, None)
val2 = self.dtc.convert(ts2, None, None)
if not val1 < val2:
raise AssertionError('{0} is not less than {1}.'.format(val1,
val2))
# Matplotlib's time representation using floats cannot distinguish
# intervals smaller than ~10 microsecond in the common range of years.
ts = Timestamp('2012-1-1')
_assert_less(ts, ts + Second())
_assert_less(ts, ts + Milli())
_assert_less(ts, ts + Micro(50))
Example #18
| Source File: test_timedelta_range.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_timedelta_range(self):
expected = to_timedelta(np.arange(5), unit='D')
result = timedelta_range('0 days', periods=5, freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11), unit='D')
result = timedelta_range('0 days', '10 days', freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50), unit='T') * 30
result = timedelta_range('0 days', freq='30T', periods=50)
tm.assert_index_equal(result, expected)
# GH 11776
arr = np.arange(10).reshape(2, 5)
df = pd.DataFrame(np.arange(10).reshape(2, 5))
for arg in (arr, df):
with tm.assert_raises_regex(TypeError, "1-d array"):
to_timedelta(arg)
for errors in ['ignore', 'raise', 'coerce']:
with tm.assert_raises_regex(TypeError, "1-d array"):
to_timedelta(arg, errors=errors)
# issue10583
df = pd.DataFrame(np.random.normal(size=(10, 4)))
df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
expected = df.loc[pd.Timedelta('0s'):, :]
result = df.loc['0s':, :]
assert_frame_equal(expected, result)
Example #19
| Source File: test_timedelta_range.py From recruit with Apache License 2.0 | 5 votes |
|
def test_timedelta_range(self):
expected = to_timedelta(np.arange(5), unit='D')
result = timedelta_range('0 days', periods=5, freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11), unit='D')
result = timedelta_range('0 days', '10 days', freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50), unit='T') * 30
result = timedelta_range('0 days', freq='30T', periods=50)
tm.assert_index_equal(result, expected)
# GH 11776
arr = np.arange(10).reshape(2, 5)
df = pd.DataFrame(np.arange(10).reshape(2, 5))
for arg in (arr, df):
with pytest.raises(TypeError, match="1-d array"):
to_timedelta(arg)
for errors in ['ignore', 'raise', 'coerce']:
with pytest.raises(TypeError, match="1-d array"):
to_timedelta(arg, errors=errors)
# issue10583
df = pd.DataFrame(np.random.normal(size=(10, 4)))
df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
expected = df.loc[pd.Timedelta('0s'):, :]
result = df.loc['0s':, :]
tm.assert_frame_equal(expected, result)
Example #20
| Source File: test_converter.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_resolution(self):
def _assert_less(ts1, ts2):
val1 = self.dtc.convert(ts1, None, None)
val2 = self.dtc.convert(ts2, None, None)
if not val1 < val2:
raise AssertionError('{0} is not less than {1}.'.format(val1,
val2))
# Matplotlib's time representation using floats cannot distinguish
# intervals smaller than ~10 microsecond in the common range of years.
ts = Timestamp('2012-1-1')
_assert_less(ts, ts + Second())
_assert_less(ts, ts + Milli())
_assert_less(ts, ts + Micro(50))
Example #21
| Source File: test_timedelta_range.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
|
def test_timedelta_range(self):
expected = to_timedelta(np.arange(5), unit='D')
result = timedelta_range('0 days', periods=5, freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11), unit='D')
result = timedelta_range('0 days', '10 days', freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50), unit='T') * 30
result = timedelta_range('0 days', freq='30T', periods=50)
tm.assert_index_equal(result, expected)
# GH 11776
arr = np.arange(10).reshape(2, 5)
df = pd.DataFrame(np.arange(10).reshape(2, 5))
for arg in (arr, df):
with pytest.raises(TypeError, match="1-d array"):
to_timedelta(arg)
for errors in ['ignore', 'raise', 'coerce']:
with pytest.raises(TypeError, match="1-d array"):
to_timedelta(arg, errors=errors)
# issue10583
df = pd.DataFrame(np.random.normal(size=(10, 4)))
df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
expected = df.loc[pd.Timedelta('0s'):, :]
result = df.loc['0s':, :]
tm.assert_frame_equal(expected, result)
Example #22
| Source File: test_frequencies.py From vnpy_crypto with MIT License | 5 votes |
|
def test_to_offset_pd_timedelta(self):
# Tests for #9064
td = Timedelta(days=1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(86401)
assert (expected == result)
td = Timedelta(days=-1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(-86399)
assert (expected == result)
td = Timedelta(hours=1, minutes=10)
result = frequencies.to_offset(td)
expected = offsets.Minute(70)
assert (expected == result)
td = Timedelta(hours=1, minutes=-10)
result = frequencies.to_offset(td)
expected = offsets.Minute(50)
assert (expected == result)
td = Timedelta(weeks=1)
result = frequencies.to_offset(td)
expected = offsets.Day(7)
assert (expected == result)
td1 = Timedelta(hours=1)
result1 = frequencies.to_offset(td1)
result2 = frequencies.to_offset('60min')
assert (result1 == result2)
td = Timedelta(microseconds=1)
result = frequencies.to_offset(td)
expected = offsets.Micro(1)
assert (expected == result)
td = Timedelta(microseconds=0)
pytest.raises(ValueError, lambda: frequencies.to_offset(td))
Example #23
| Source File: test_converter.py From vnpy_crypto with MIT License | 5 votes |
|
def test_resolution(self):
def _assert_less(ts1, ts2):
val1 = self.dtc.convert(ts1, None, None)
val2 = self.dtc.convert(ts2, None, None)
if not val1 < val2:
raise AssertionError('{0} is not less than {1}.'.format(val1,
val2))
# Matplotlib's time representation using floats cannot distinguish
# intervals smaller than ~10 microsecond in the common range of years.
ts = Timestamp('2012-1-1')
_assert_less(ts, ts + Second())
_assert_less(ts, ts + Milli())
_assert_less(ts, ts + Micro(50))
Example #24
| Source File: test_timedelta_range.py From vnpy_crypto with MIT License | 5 votes |
|
def test_timedelta_range(self):
expected = to_timedelta(np.arange(5), unit='D')
result = timedelta_range('0 days', periods=5, freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(11), unit='D')
result = timedelta_range('0 days', '10 days', freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(5), unit='D') + Second(2) + Day()
result = timedelta_range('1 days, 00:00:02', '5 days, 00:00:02',
freq='D')
tm.assert_index_equal(result, expected)
expected = to_timedelta([1, 3, 5, 7, 9], unit='D') + Second(2)
result = timedelta_range('1 days, 00:00:02', periods=5, freq='2D')
tm.assert_index_equal(result, expected)
expected = to_timedelta(np.arange(50), unit='T') * 30
result = timedelta_range('0 days', freq='30T', periods=50)
tm.assert_index_equal(result, expected)
# GH 11776
arr = np.arange(10).reshape(2, 5)
df = pd.DataFrame(np.arange(10).reshape(2, 5))
for arg in (arr, df):
with tm.assert_raises_regex(TypeError, "1-d array"):
to_timedelta(arg)
for errors in ['ignore', 'raise', 'coerce']:
with tm.assert_raises_regex(TypeError, "1-d array"):
to_timedelta(arg, errors=errors)
# issue10583
df = pd.DataFrame(np.random.normal(size=(10, 4)))
df.index = pd.timedelta_range(start='0s', periods=10, freq='s')
expected = df.loc[pd.Timedelta('0s'):, :]
result = df.loc['0s':, :]
tm.assert_frame_equal(expected, result)
Example #25
| Source File: test_frequencies.py From recruit with Apache License 2.0 | 5 votes |
|
def test_to_offset_pd_timedelta(self):
# Tests for #9064
td = Timedelta(days=1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(86401)
assert (expected == result)
td = Timedelta(days=-1, seconds=1)
result = frequencies.to_offset(td)
expected = offsets.Second(-86399)
assert (expected == result)
td = Timedelta(hours=1, minutes=10)
result = frequencies.to_offset(td)
expected = offsets.Minute(70)
assert (expected == result)
td = Timedelta(hours=1, minutes=-10)
result = frequencies.to_offset(td)
expected = offsets.Minute(50)
assert (expected == result)
td = Timedelta(weeks=1)
result = frequencies.to_offset(td)
expected = offsets.Day(7)
assert (expected == result)
td1 = Timedelta(hours=1)
result1 = frequencies.to_offset(td1)
result2 = frequencies.to_offset('60min')
assert (result1 == result2)
td = Timedelta(microseconds=1)
result = frequencies.to_offset(td)
expected = offsets.Micro(1)
assert (expected == result)
td = Timedelta(microseconds=0)
pytest.raises(ValueError, lambda: frequencies.to_offset(td))
Example #26
| Source File: test_converter.py From recruit with Apache License 2.0 | 5 votes |
|
def test_resolution(self):
def _assert_less(ts1, ts2):
val1 = self.dtc.convert(ts1, None, None)
val2 = self.dtc.convert(ts2, None, None)
if not val1 < val2:
raise AssertionError('{0} is not less than {1}.'.format(val1,
val2))
# Matplotlib's time representation using floats cannot distinguish
# intervals smaller than ~10 microsecond in the common range of years.
ts = Timestamp('2012-1-1')
_assert_less(ts, ts + Second())
_assert_less(ts, ts + Milli())
_assert_less(ts, ts + Micro(50))
Example #27
| Source File: test_frequencies.py From Computable with MIT License | 4 votes |
|
def test_to_offset_multiple():
freqstr = '2h30min'
freqstr2 = '2h 30min'
result = to_offset(freqstr)
assert(result == to_offset(freqstr2))
expected = offsets.Minute(150)
assert(result == expected)
freqstr = '2h30min15s'
result = to_offset(freqstr)
expected = offsets.Second(150 * 60 + 15)
assert(result == expected)
freqstr = '2h 60min'
result = to_offset(freqstr)
expected = offsets.Hour(3)
assert(result == expected)
freqstr = '15l500u'
result = to_offset(freqstr)
expected = offsets.Micro(15500)
assert(result == expected)
freqstr = '10s75L'
result = to_offset(freqstr)
expected = offsets.Milli(10075)
assert(result == expected)
if not _np_version_under1p7:
freqstr = '2800N'
result = to_offset(freqstr)
expected = offsets.Nano(2800)
assert(result == expected)
# malformed
try:
to_offset('2h20m')
except ValueError:
pass
else:
assert(False)
