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TST: Fix unused tests in tseries/test_base.py #13996

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TST: Fix unused tests in tseries/test_base.py #13996

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118 changes: 59 additions & 59 deletions pandas/tseries/tests/test_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -335,7 +335,7 @@ def test_resolution(self):
['day', 'day', 'day', 'day', 'hour',
'minute', 'second', 'millisecond',
'microsecond']):
for tz in [None, 'Asia/Tokyo', 'US/Eastern']:
for tz in self.tz:
idx = pd.date_range(start='2013-04-01', periods=30, freq=freq,
tz=tz)
self.assertEqual(idx.resolution, expected)
Expand Down Expand Up @@ -488,7 +488,7 @@ def test_comp_nat(self):

def test_value_counts_unique(self):
# GH 7735
for tz in [None, 'UTC', 'Asia/Tokyo', 'US/Eastern']:
for tz in self.tz:
idx = pd.date_range('2011-01-01 09:00', freq='H', periods=10)
# create repeated values, 'n'th element is repeated by n+1 times
idx = DatetimeIndex(np.repeat(idx.values, range(1, len(idx) + 1)),
Expand Down Expand Up @@ -570,49 +570,50 @@ def test_order(self):
self.assertEqual(ordered.freq.n, -1)

# without freq
idx1 = DatetimeIndex(['2011-01-01', '2011-01-03', '2011-01-05',
'2011-01-02', '2011-01-01'], name='idx1')
exp1 = DatetimeIndex(['2011-01-01', '2011-01-01', '2011-01-02',
'2011-01-03', '2011-01-05'], name='idx1')

idx2 = DatetimeIndex(['2011-01-01', '2011-01-03', '2011-01-05',
'2011-01-02', '2011-01-01'],
tz='Asia/Tokyo', name='idx2')

# TODO(wesm): unused?

# exp2 = DatetimeIndex(['2011-01-01', '2011-01-01', '2011-01-02',
# '2011-01-03', '2011-01-05'],
# tz='Asia/Tokyo', name='idx2')

# idx3 = DatetimeIndex([pd.NaT, '2011-01-03', '2011-01-05',
# '2011-01-02', pd.NaT], name='idx3')
# exp3 = DatetimeIndex([pd.NaT, pd.NaT, '2011-01-02', '2011-01-03',
# '2011-01-05'], name='idx3')

for idx, expected in [(idx1, exp1), (idx1, exp1), (idx1, exp1)]:
ordered = idx.sort_values()
self.assert_index_equal(ordered, expected)
self.assertIsNone(ordered.freq)

ordered = idx.sort_values(ascending=False)
self.assert_index_equal(ordered, expected[::-1])
self.assertIsNone(ordered.freq)

ordered, indexer = idx.sort_values(return_indexer=True)
self.assert_index_equal(ordered, expected)

exp = np.array([0, 4, 3, 1, 2])
self.assert_numpy_array_equal(indexer, exp, check_dtype=False)
self.assertIsNone(ordered.freq)

ordered, indexer = idx.sort_values(return_indexer=True,
ascending=False)
self.assert_index_equal(ordered, expected[::-1])

exp = np.array([2, 1, 3, 4, 0])
self.assert_numpy_array_equal(indexer, exp, check_dtype=False)
self.assertIsNone(ordered.freq)
for tz in self.tz:
idx1 = DatetimeIndex(['2011-01-01', '2011-01-03', '2011-01-05',
'2011-01-02', '2011-01-01'],
tz=tz, name='idx1')
exp1 = DatetimeIndex(['2011-01-01', '2011-01-01', '2011-01-02',
'2011-01-03', '2011-01-05'],
tz=tz, name='idx1')

idx2 = DatetimeIndex(['2011-01-01', '2011-01-03', '2011-01-05',
'2011-01-02', '2011-01-01'],
tz=tz, name='idx2')

exp2 = DatetimeIndex(['2011-01-01', '2011-01-01', '2011-01-02',
'2011-01-03', '2011-01-05'],
tz=tz, name='idx2')

idx3 = DatetimeIndex([pd.NaT, '2011-01-03', '2011-01-05',
'2011-01-02', pd.NaT], tz=tz, name='idx3')
exp3 = DatetimeIndex([pd.NaT, pd.NaT, '2011-01-02', '2011-01-03',
'2011-01-05'], tz=tz, name='idx3')

for idx, expected in [(idx1, exp1), (idx2, exp2), (idx3, exp3)]:
ordered = idx.sort_values()
self.assert_index_equal(ordered, expected)
self.assertIsNone(ordered.freq)

ordered = idx.sort_values(ascending=False)
self.assert_index_equal(ordered, expected[::-1])
self.assertIsNone(ordered.freq)

ordered, indexer = idx.sort_values(return_indexer=True)
self.assert_index_equal(ordered, expected)

exp = np.array([0, 4, 3, 1, 2])
self.assert_numpy_array_equal(indexer, exp, check_dtype=False)
self.assertIsNone(ordered.freq)

ordered, indexer = idx.sort_values(return_indexer=True,
ascending=False)
self.assert_index_equal(ordered, expected[::-1])

exp = np.array([2, 1, 3, 4, 0])
self.assert_numpy_array_equal(indexer, exp, check_dtype=False)
self.assertIsNone(ordered.freq)

def test_getitem(self):
idx1 = pd.date_range('2011-01-01', '2011-01-31', freq='D', name='idx')
Expand Down Expand Up @@ -762,7 +763,7 @@ def test_nat_new(self):

def test_shift(self):
# GH 9903
for tz in [None, 'US/Eastern', 'Asia/Tokyo']:
for tz in self.tz:
idx = pd.DatetimeIndex([], name='xxx', tz=tz)
tm.assert_index_equal(idx.shift(0, freq='H'), idx)
tm.assert_index_equal(idx.shift(3, freq='H'), idx)
Expand Down Expand Up @@ -2365,20 +2366,19 @@ def test_order(self):
exp1 = PeriodIndex(['2011-01-01', '2011-01-01', '2011-01-02',
'2011-01-03', '2011-01-05'], freq='D', name='idx1')

# TODO(wesm): unused?
# idx2 = PeriodIndex(['2011-01-01', '2011-01-03', '2011-01-05',
# '2011-01-02', '2011-01-01'],
# freq='D', name='idx2')
# exp2 = PeriodIndex(['2011-01-01', '2011-01-01', '2011-01-02',
# '2011-01-03', '2011-01-05'],
# freq='D', name='idx2')

# idx3 = PeriodIndex([pd.NaT, '2011-01-03', '2011-01-05',
# '2011-01-02', pd.NaT], freq='D', name='idx3')
# exp3 = PeriodIndex([pd.NaT, pd.NaT, '2011-01-02', '2011-01-03',
# '2011-01-05'], freq='D', name='idx3')
idx2 = PeriodIndex(['2011-01-01', '2011-01-03', '2011-01-05',
'2011-01-02', '2011-01-01'],
freq='D', name='idx2')
exp2 = PeriodIndex(['2011-01-01', '2011-01-01', '2011-01-02',
'2011-01-03', '2011-01-05'],
freq='D', name='idx2')

for idx, expected in [(idx1, exp1), (idx1, exp1), (idx1, exp1)]:
idx3 = PeriodIndex([pd.NaT, '2011-01-03', '2011-01-05',
'2011-01-02', pd.NaT], freq='D', name='idx3')
exp3 = PeriodIndex([pd.NaT, pd.NaT, '2011-01-02', '2011-01-03',
'2011-01-05'], freq='D', name='idx3')

for idx, expected in [(idx1, exp1), (idx2, exp2), (idx3, exp3)]:
ordered = idx.sort_values()
self.assert_index_equal(ordered, expected)
self.assertEqual(ordered.freq, 'D')
Expand Down