def test_isleapyear_deprecate(self):
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertTrue(isleapyear(2000))
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertFalse(isleapyear(2001))
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertTrue(isleapyear(2004))
def test_isleapyear_deprecate(self):
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertTrue(isleapyear(2000))
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertFalse(isleapyear(2001))
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertTrue(isleapyear(2004))
def test_hourly(self):
rng_hourly = date_range('1/1/1994', periods=(18 * 8760 + 4 * 24),
freq='H')
data_hourly = np.random.randint(100, 350, rng_hourly.size)
ts_hourly = Series(data_hourly, index=rng_hourly)
grouped = ts_hourly.groupby(ts_hourly.index.year)
hoy = grouped.apply(lambda x: x.reset_index(drop=True))
hoy = hoy.index.droplevel(0).values
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
hoy[~isleapyear(ts_hourly.index.year) & (hoy >= 1416)] += 24
hoy += 1
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
annual = pivot_annual(ts_hourly)
ts_hourly = ts_hourly.astype(float)
for i in [1, 1416, 1417, 1418, 1439, 1440, 1441, 8784]:
subset = ts_hourly[hoy == i]
subset.index = [x.year for x in subset.index]
result = annual[i].dropna()
tm.assert_series_equal(result, subset, check_names=False)
self.assertEqual(result.name, i)
leaps = ts_hourly[(ts_hourly.index.month == 2) & (
ts_hourly.index.day == 29) & (ts_hourly.index.hour == 0)]
hour = leaps.index.dayofyear[0] * 24 - 23
leaps.index = leaps.index.year
leaps.name = 1417
tm.assert_series_equal(annual[hour].dropna(), leaps)
def test_daily(self):
rng = date_range('1/1/2000', '12/31/2004', freq='D')
ts = Series(np.random.randn(len(rng)), index=rng)
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
annual = pivot_annual(ts, 'D')
doy = ts.index.dayofyear
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
doy[(~isleapyear(ts.index.year)) & (doy >= 60)] += 1
for i in range(1, 367):
subset = ts[doy == i]
subset.index = [x.year for x in subset.index]
result = annual[i].dropna()
tm.assert_series_equal(result, subset, check_names=False)
self.assertEqual(result.name, i)
# check leap days
leaps = ts[(ts.index.month == 2) & (ts.index.day == 29)]
day = leaps.index.dayofyear[0]
leaps.index = leaps.index.year
leaps.name = 60
tm.assert_series_equal(annual[day].dropna(), leaps)
def test_hourly(self):
rng_hourly = date_range('1/1/1994', periods=(18 * 8760 + 4 * 24),
freq='H')
data_hourly = np.random.randint(100, 350, rng_hourly.size)
ts_hourly = Series(data_hourly, index=rng_hourly)
grouped = ts_hourly.groupby(ts_hourly.index.year)
hoy = grouped.apply(lambda x: x.reset_index(drop=True))
hoy = hoy.index.droplevel(0).values
hoy[~isleapyear(ts_hourly.index.year) & (hoy >= 1416)] += 24
hoy += 1
annual = pivot_annual(ts_hourly)
ts_hourly = ts_hourly.astype(float)
for i in [1, 1416, 1417, 1418, 1439, 1440, 1441, 8784]:
subset = ts_hourly[hoy == i]
subset.index = [x.year for x in subset.index]
result = annual[i].dropna()
tm.assert_series_equal(result, subset, check_names=False)
self.assertEqual(result.name, i)
leaps = ts_hourly[(ts_hourly.index.month == 2) & (
ts_hourly.index.day == 29) & (ts_hourly.index.hour == 0)]
hour = leaps.index.dayofyear[0] * 24 - 23
leaps.index = leaps.index.year
leaps.name = 1417
tm.assert_series_equal(annual[hour].dropna(), leaps)
def test_hourly(self):
rng_hourly = date_range('1/1/1994',
periods=(18 * 8760 + 4 * 24),
freq='H')
data_hourly = np.random.randint(100, 350, rng_hourly.size)
data_hourly = data_hourly.astype('float64')
ts_hourly = Series(data_hourly, index=rng_hourly)
grouped = ts_hourly.groupby(ts_hourly.index.year)
hoy = grouped.apply(lambda x: x.reset_index(drop=True))
hoy = hoy.index.droplevel(0).values
hoy[-isleapyear(ts_hourly.index.year) & (hoy >= 1416)] += 24
hoy += 1
annual = pivot_annual(ts_hourly)
for i in [1, 1416, 1417, 1418, 1439, 1440, 1441, 8784]:
subset = ts_hourly[hoy == i]
subset.index = [x.year for x in subset.index]
tm.assert_series_equal(annual[i].dropna(), subset)
leaps = ts_hourly[(ts_hourly.index.month == 2)
& (ts_hourly.index.day == 29) &
(ts_hourly.index.hour == 0)]
hour = leaps.index.dayofyear[0] * 24 - 23
leaps.index = leaps.index.year
tm.assert_series_equal(annual[hour].dropna(), leaps)
def test_daily(self):
rng = date_range('1/1/2000', '12/31/2004', freq='D')
ts = Series(np.random.randn(len(rng)), index=rng)
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
annual = pivot_annual(ts, 'D')
doy = ts.index.dayofyear
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
doy[(~isleapyear(ts.index.year)) & (doy >= 60)] += 1
for i in range(1, 367):
subset = ts[doy == i]
subset.index = [x.year for x in subset.index]
result = annual[i].dropna()
tm.assert_series_equal(result, subset, check_names=False)
self.assertEqual(result.name, i)
# check leap days
leaps = ts[(ts.index.month == 2) & (ts.index.day == 29)]
day = leaps.index.dayofyear[0]
leaps.index = leaps.index.year
leaps.name = 60
tm.assert_series_equal(annual[day].dropna(), leaps)
def test_daily(self):
rng = date_range('1/1/2000', '12/31/2004', freq='D')
ts = Series(np.random.randn(len(rng)), index=rng)
annual = pivot_annual(ts, 'D')
doy = ts.index.dayofyear
doy[(-isleapyear(ts.index.year)) & (doy >= 60)] += 1
for i in range(1, 367):
subset = ts[doy == i]
subset.index = [x.year for x in subset.index]
tm.assert_series_equal(annual[i].dropna(), subset)
# check leap days
leaps = ts[(ts.index.month == 2) & (ts.index.day == 29)]
day = leaps.index.dayofyear[0]
leaps.index = leaps.index.year
tm.assert_series_equal(annual[day].dropna(), leaps)
def test_daily(self):
rng = date_range('1/1/2000', '12/31/2004', freq='D')
ts = Series(np.random.randn(len(rng)), index=rng)
annual = pivot_annual(ts, 'D')
doy = ts.index.dayofyear
doy[(-isleapyear(ts.index.year)) & (doy >= 60)] += 1
for i in range(1, 367):
subset = ts[doy == i]
subset.index = [x.year for x in subset.index]
tm.assert_series_equal(annual[i].dropna(), subset)
# check leap days
leaps = ts[(ts.index.month == 2) & (ts.index.day == 29)]
day = leaps.index.dayofyear[0]
leaps.index = leaps.index.year
tm.assert_series_equal(annual[day].dropna(), leaps)