def test_convert_unsorted_datetime_index_raises(self):
index = pd.to_datetime(['2001', '2000', '2002'])
with pytest.raises(KeyError):
# pandas will try to convert this into an array indexer. We should
# raise instead, so we can be sure the result of indexing with a
# slice is always a view.
indexing.convert_label_indexer(index, slice('2001', '2002'))
def test_convert_unsorted_datetime_index_raises(self):
index = pd.to_datetime(['2001', '2000', '2002'])
with pytest.raises(KeyError):
# pandas will try to convert this into an array indexer. We should
# raise instead, so we can be sure the result of indexing with a
# slice is always a view.
indexing.convert_label_indexer(index, slice('2001', '2002'))
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(index, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(index, 0)
def test_convert_label_indexer_datetime(self):
index = pd.to_datetime(["2000-01-01", "2001-01-01", "2002-01-01"])
actual = indexing.convert_label_indexer(index, "2001-01-01")
expected = (1, None)
assert actual == expected
actual = indexing.convert_label_indexer(index, index.to_numpy()[1])
assert actual == expected
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with raises_regex(KeyError, 'not all values found'):
indexing.convert_label_indexer(index, [0])
with pytest.raises(KeyError):
indexing.convert_label_indexer(index, 0)
with raises_regex(ValueError, 'does not have a MultiIndex'):
indexing.convert_label_indexer(index, {'one': 0})
mindex = pd.MultiIndex.from_product([['a', 'b'], [1, 2]],
names=('one', 'two'))
with raises_regex(KeyError, 'not all values found'):
indexing.convert_label_indexer(mindex, [0])
with pytest.raises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with pytest.raises(ValueError):
indexing.convert_label_indexer(index, {'three': 0})
with pytest.raises((KeyError, IndexError)):
# pandas 0.21 changed this from KeyError to IndexError
indexing.convert_label_indexer(mindex,
(slice(None), 1, 'no_level'))
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with raises_regex(KeyError, 'not all values found'):
indexing.convert_label_indexer(index, [0])
with pytest.raises(KeyError):
indexing.convert_label_indexer(index, 0)
with raises_regex(ValueError, 'does not have a MultiIndex'):
indexing.convert_label_indexer(index, {'one': 0})
mindex = pd.MultiIndex.from_product([['a', 'b'], [1, 2]],
names=('one', 'two'))
with raises_regex(KeyError, 'not all values found'):
indexing.convert_label_indexer(mindex, [0])
with pytest.raises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with pytest.raises(ValueError):
indexing.convert_label_indexer(index, {'three': 0})
with pytest.raises((KeyError, IndexError)):
# pandas 0.21 changed this from KeyError to IndexError
indexing.convert_label_indexer(
mindex, (slice(None), 1, 'no_level'))
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(index, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(index, 0)
with self.assertRaisesRegexp(ValueError, 'does not have a MultiIndex'):
indexing.convert_label_indexer(index, {'one': 0})
mindex = pd.MultiIndex.from_product([['a', 'b'], [1, 2]],
names=('one', 'two'))
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(mindex, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with self.assertRaises(ValueError):
indexing.convert_label_indexer(index, {'three': 0})
with self.assertRaisesRegexp(KeyError, 'index to be fully lexsorted'):
indexing.convert_label_indexer(mindex,
(slice(None), 1, 'no_level'))
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with raises_regex(KeyError, "not all values found"):
indexing.convert_label_indexer(index, [0])
with pytest.raises(KeyError):
indexing.convert_label_indexer(index, 0)
with raises_regex(ValueError, "does not have a MultiIndex"):
indexing.convert_label_indexer(index, {"one": 0})
mindex = pd.MultiIndex.from_product([["a", "b"], [1, 2]],
names=("one", "two"))
with raises_regex(KeyError, "not all values found"):
indexing.convert_label_indexer(mindex, [0])
with pytest.raises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with pytest.raises(ValueError):
indexing.convert_label_indexer(index, {"three": 0})
with pytest.raises((KeyError, IndexError)):
# pandas 0.21 changed this from KeyError to IndexError
indexing.convert_label_indexer(mindex,
(slice(None), 1, "no_level"))
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(index, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(index, 0)
with self.assertRaisesRegexp(ValueError, 'does not have a MultiIndex'):
indexing.convert_label_indexer(index, {'one': 0})
mindex = pd.MultiIndex.from_product([['a', 'b'], [1, 2]],
names=('one', 'two'))
with self.assertRaisesRegexp(KeyError, 'not all values found'):
indexing.convert_label_indexer(mindex, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with self.assertRaises(ValueError):
indexing.convert_label_indexer(index, {'three': 0})
with self.assertRaisesRegexp(KeyError, 'index to be fully lexsorted'):
indexing.convert_label_indexer(mindex, (slice(None), 1, 'no_level'))
def test_convert_label_indexer(self):
# TODO: add tests that aren't just for edge cases
index = pd.Index([1, 2, 3])
with self.assertRaisesRegexp(KeyError, "not all values found"):
indexing.convert_label_indexer(index, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(index, 0)
with self.assertRaisesRegexp(ValueError, "does not have a MultiIndex"):
indexing.convert_label_indexer(index, {"one": 0})
mindex = pd.MultiIndex.from_product([["a", "b"], [1, 2]], names=("one", "two"))
with self.assertRaisesRegexp(KeyError, "not all values found"):
indexing.convert_label_indexer(mindex, [0])
with self.assertRaises(KeyError):
indexing.convert_label_indexer(mindex, 0)
with self.assertRaises(ValueError):
indexing.convert_label_indexer(index, {"three": 0})
with self.assertRaisesRegexp(KeyError, "index to be fully lexsorted"):
indexing.convert_label_indexer(mindex, (slice(None), 1, "no_level"))
