本文整理汇总了Python中pandas.offsets.Day方法的典型用法代码示例。如果您正苦于以下问题：Python offsets.Day方法的具体用法？Python offsets.Day怎么用？Python offsets.Day使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.offsets的用法示例。
在下文中一共展示了offsets.Day方法的9个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_period_deprecated_freq
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_period_deprecated_freq(self):
cases = {"M": ["MTH", "MONTH", "MONTHLY", "Mth", "month", "monthly"],
"B": ["BUS", "BUSINESS", "BUSINESSLY", "WEEKDAY", "bus"],
"D": ["DAY", "DLY", "DAILY", "Day", "Dly", "Daily"],
"H": ["HR", "HOUR", "HRLY", "HOURLY", "hr", "Hour", "HRly"],
"T": ["minute", "MINUTE", "MINUTELY", "minutely"],
"S": ["sec", "SEC", "SECOND", "SECONDLY", "second"],
"L": ["MILLISECOND", "MILLISECONDLY", "millisecond"],
"U": ["MICROSECOND", "MICROSECONDLY", "microsecond"],
"N": ["NANOSECOND", "NANOSECONDLY", "nanosecond"]}
msg = INVALID_FREQ_ERR_MSG
for exp, freqs in iteritems(cases):
for freq in freqs:
with pytest.raises(ValueError, match=msg):
Period('2016-03-01 09:00', freq=freq)
with pytest.raises(ValueError, match=msg):
Period(ordinal=1, freq=freq)
# check supported freq-aliases still works
p1 = Period('2016-03-01 09:00', freq=exp)
p2 = Period(ordinal=1, freq=exp)
assert isinstance(p1, Period)
assert isinstance(p2, Period) 示例2: test_period_ops_offset
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_period_ops_offset(self):
p = Period('2011-04-01', freq='D')
result = p + offsets.Day()
exp = Period('2011-04-02', freq='D')
assert result == exp
result = p - offsets.Day(2)
exp = Period('2011-03-30', freq='D')
assert result == exp
msg = r"Input cannot be converted to Period\(freq=D\)"
with pytest.raises(period.IncompatibleFrequency, match=msg):
p + offsets.Hour(2)
with pytest.raises(period.IncompatibleFrequency, match=msg):
p - offsets.Hour(2) 示例3: test_period_deprecated_freq
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_period_deprecated_freq(self):
cases = {"M": ["MTH", "MONTH", "MONTHLY", "Mth", "month", "monthly"],
"B": ["BUS", "BUSINESS", "BUSINESSLY", "WEEKDAY", "bus"],
"D": ["DAY", "DLY", "DAILY", "Day", "Dly", "Daily"],
"H": ["HR", "HOUR", "HRLY", "HOURLY", "hr", "Hour", "HRly"],
"T": ["minute", "MINUTE", "MINUTELY", "minutely"],
"S": ["sec", "SEC", "SECOND", "SECONDLY", "second"],
"L": ["MILLISECOND", "MILLISECONDLY", "millisecond"],
"U": ["MICROSECOND", "MICROSECONDLY", "microsecond"],
"N": ["NANOSECOND", "NANOSECONDLY", "nanosecond"]}
msg = pd._libs.tslibs.frequencies._INVALID_FREQ_ERROR
for exp, freqs in iteritems(cases):
for freq in freqs:
with tm.assert_raises_regex(ValueError, msg):
Period('2016-03-01 09:00', freq=freq)
with tm.assert_raises_regex(ValueError, msg):
Period(ordinal=1, freq=freq)
# check supported freq-aliases still works
p1 = Period('2016-03-01 09:00', freq=exp)
p2 = Period(ordinal=1, freq=exp)
assert isinstance(p1, Period)
assert isinstance(p2, Period) 示例4: test_period_ops_offset
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_period_ops_offset(self):
p = Period('2011-04-01', freq='D')
result = p + offsets.Day()
exp = pd.Period('2011-04-02', freq='D')
assert result == exp
result = p - offsets.Day(2)
exp = pd.Period('2011-03-30', freq='D')
assert result == exp
msg = r"Input cannot be converted to Period\(freq=D\)"
with tm.assert_raises_regex(period.IncompatibleFrequency, msg):
p + offsets.Hour(2)
with tm.assert_raises_regex(period.IncompatibleFrequency, msg):
p - offsets.Hour(2) 示例5: test_period_deprecated_freq
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_period_deprecated_freq(self):
cases = {"M": ["MTH", "MONTH", "MONTHLY", "Mth", "month", "monthly"],
"B": ["BUS", "BUSINESS", "BUSINESSLY", "WEEKDAY", "bus"],
"D": ["DAY", "DLY", "DAILY", "Day", "Dly", "Daily"],
"H": ["HR", "HOUR", "HRLY", "HOURLY", "hr", "Hour", "HRly"],
"T": ["minute", "MINUTE", "MINUTELY", "minutely"],
"S": ["sec", "SEC", "SECOND", "SECONDLY", "second"],
"L": ["MILLISECOND", "MILLISECONDLY", "millisecond"],
"U": ["MICROSECOND", "MICROSECONDLY", "microsecond"],
"N": ["NANOSECOND", "NANOSECONDLY", "nanosecond"]}
msg = pd.tseries.frequencies._INVALID_FREQ_ERROR
for exp, freqs in iteritems(cases):
for freq in freqs:
with tm.assert_raises_regex(ValueError, msg):
Period('2016-03-01 09:00', freq=freq)
with tm.assert_raises_regex(ValueError, msg):
Period(ordinal=1, freq=freq)
# check supported freq-aliases still works
p1 = Period('2016-03-01 09:00', freq=exp)
p2 = Period(ordinal=1, freq=exp)
assert isinstance(p1, Period)
assert isinstance(p2, Period) 示例6: test_sub_offset
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_sub_offset(self):
# freq is DateOffset
for freq in ['A', '2A', '3A']:
p = Period('2011', freq=freq)
assert p - offsets.YearEnd(2) == Period('2009', freq=freq)
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(365, 'D'),
timedelta(365)]:
with pytest.raises(period.IncompatibleFrequency):
p - o
for freq in ['M', '2M', '3M']:
p = Period('2011-03', freq=freq)
assert p - offsets.MonthEnd(2) == Period('2011-01', freq=freq)
assert p - offsets.MonthEnd(12) == Period('2010-03', freq=freq)
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(365, 'D'),
timedelta(365)]:
with pytest.raises(period.IncompatibleFrequency):
p - o
# freq is Tick
for freq in ['D', '2D', '3D']:
p = Period('2011-04-01', freq=freq)
assert p - offsets.Day(5) == Period('2011-03-27', freq=freq)
assert p - offsets.Hour(24) == Period('2011-03-31', freq=freq)
assert p - np.timedelta64(2, 'D') == Period(
'2011-03-30', freq=freq)
assert p - np.timedelta64(3600 * 24, 's') == Period(
'2011-03-31', freq=freq)
assert p - timedelta(-2) == Period('2011-04-03', freq=freq)
assert p - timedelta(hours=48) == Period('2011-03-30', freq=freq)
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(4, 'h'),
timedelta(hours=23)]:
with pytest.raises(period.IncompatibleFrequency):
p - o
for freq in ['H', '2H', '3H']:
p = Period('2011-04-01 09:00', freq=freq)
assert p - offsets.Day(2) == Period('2011-03-30 09:00', freq=freq)
assert p - offsets.Hour(3) == Period('2011-04-01 06:00', freq=freq)
assert p - np.timedelta64(3, 'h') == Period(
'2011-04-01 06:00', freq=freq)
assert p - np.timedelta64(3600, 's') == Period(
'2011-04-01 08:00', freq=freq)
assert p - timedelta(minutes=120) == Period(
'2011-04-01 07:00', freq=freq)
assert p - timedelta(days=4, minutes=180) == Period(
'2011-03-28 06:00', freq=freq)
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(3200, 's'),
timedelta(hours=23, minutes=30)]:
with pytest.raises(period.IncompatibleFrequency):
p - o 示例7: test_sub_offset_nat
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_sub_offset_nat(self):
# freq is DateOffset
for freq in ['A', '2A', '3A']:
p = Period('NaT', freq=freq)
for o in [offsets.YearEnd(2)]:
assert p - o is NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(365, 'D'),
timedelta(365)]:
assert p - o is NaT
for freq in ['M', '2M', '3M']:
p = Period('NaT', freq=freq)
for o in [offsets.MonthEnd(2), offsets.MonthEnd(12)]:
assert p - o is NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(365, 'D'),
timedelta(365)]:
assert p - o is NaT
# freq is Tick
for freq in ['D', '2D', '3D']:
p = Period('NaT', freq=freq)
for o in [offsets.Day(5), offsets.Hour(24), np.timedelta64(2, 'D'),
np.timedelta64(3600 * 24, 's'), timedelta(-2),
timedelta(hours=48)]:
assert p - o is NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(4, 'h'),
timedelta(hours=23)]:
assert p - o is NaT
for freq in ['H', '2H', '3H']:
p = Period('NaT', freq=freq)
for o in [offsets.Day(2), offsets.Hour(3), np.timedelta64(3, 'h'),
np.timedelta64(3600, 's'), timedelta(minutes=120),
timedelta(days=4, minutes=180)]:
assert p - o is NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(3200, 's'),
timedelta(hours=23, minutes=30)]:
assert p - o is NaT 示例8: test_sub_offset_nat
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def test_sub_offset_nat(self):
# freq is DateOffset
for freq in ['A', '2A', '3A']:
p = Period('NaT', freq=freq)
for o in [offsets.YearEnd(2)]:
assert p - o is tslib.NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(365, 'D'),
timedelta(365)]:
assert p - o is tslib.NaT
for freq in ['M', '2M', '3M']:
p = Period('NaT', freq=freq)
for o in [offsets.MonthEnd(2), offsets.MonthEnd(12)]:
assert p - o is tslib.NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(365, 'D'),
timedelta(365)]:
assert p - o is tslib.NaT
# freq is Tick
for freq in ['D', '2D', '3D']:
p = Period('NaT', freq=freq)
for o in [offsets.Day(5), offsets.Hour(24), np.timedelta64(2, 'D'),
np.timedelta64(3600 * 24, 's'), timedelta(-2),
timedelta(hours=48)]:
assert p - o is tslib.NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(4, 'h'),
timedelta(hours=23)]:
assert p - o is tslib.NaT
for freq in ['H', '2H', '3H']:
p = Period('NaT', freq=freq)
for o in [offsets.Day(2), offsets.Hour(3), np.timedelta64(3, 'h'),
np.timedelta64(3600, 's'), timedelta(minutes=120),
timedelta(days=4, minutes=180)]:
assert p - o is tslib.NaT
for o in [offsets.YearBegin(2), offsets.MonthBegin(1),
offsets.Minute(), np.timedelta64(3200, 's'),
timedelta(hours=23, minutes=30)]:
assert p - o is tslib.NaT 示例9: read_in
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import Day [as 别名]
def read_in(self, mat):
"""Read the input part.
"""
# Check if more then one time series model is present
if not isinstance(mat['IN'], np.ndarray):
mat['IN'] = [mat['IN']]
# Read all the time series models
for i, IN in enumerate(mat['IN']):
data = {}
for name in IN._fieldnames:
if name != 'values':
data[name] = getattr(IN, name)
else:
tindex = map(datenum_to_datetime, IN.values[:, 0])
series = Series(IN.values[:, 1], index=tindex)
# round on seconds, to get rid of conversion milliseconds
series.index = series.index.round('s')
if hasattr(IN, 'type'):
IN.Type = IN.type
if IN.Type in ['EVAP', 'PREC', 'WELL']:
# in menyanthes, the flux is summed over the
# time-step, so divide by the timestep now
step = series.index.to_series().diff() / offsets.Day(
1)
step = step.values.astype(np.float)
series = series / step
if series.values[0] != 0:
series = series[1:]
data['values'] = series
# add to self.IN
if not hasattr(IN, 'Name') and not hasattr(IN, 'name'):
IN.Name = 'IN' + str(i)
if hasattr(IN, 'name'):
IN.Name = IN.name
self.IN[IN.Name] = data