def test_construction_with_dtype(self):
# specify dtype
ci = self.create_index(categories=list('abc'))
result = Index(np.array(ci), dtype='category')
tm.assert_index_equal(result, ci, exact=True)
result = Index(np.array(ci).tolist(), dtype='category')
tm.assert_index_equal(result, ci, exact=True)
# these are generally only equal when the categories are reordered
ci = self.create_index()
result = Index(np.array(ci),
dtype='category').reorder_categories(ci.categories)
tm.assert_index_equal(result, ci, exact=True)
# make sure indexes are handled
expected = CategoricalIndex([0, 1, 2],
categories=[0, 1, 2],
ordered=True)
idx = Index(range(3))
result = CategoricalIndex(idx, categories=idx, ordered=True)
tm.assert_index_equal(result, expected, exact=True)
def test_append(self):
ci = self.create_index()
categories = ci.categories
# append cats with the same categories
result = ci[:3].append(ci[3:])
tm.assert_index_equal(result, ci, exact=True)
foos = [ci[:1], ci[1:3], ci[3:]]
result = foos[0].append(foos[1:])
tm.assert_index_equal(result, ci, exact=True)
# empty
result = ci.append([])
tm.assert_index_equal(result, ci, exact=True)
# appending with different categories or reoreded is not ok
self.assertRaises(
TypeError,
lambda: ci.append(ci.values.set_categories(list('abcd'))))
self.assertRaises(
TypeError,
lambda: ci.append(ci.values.reorder_categories(list('abc'))))
# with objects
result = ci.append(Index(['c', 'a']))
expected = CategoricalIndex(list('aabbcaca'), categories=categories)
tm.assert_index_equal(result, expected, exact=True)
# invalid objects
self.assertRaises(TypeError, lambda: ci.append(Index(['a', 'd'])))
def test_reindex_dtype(self):
c = CategoricalIndex(['a', 'b', 'c', 'a'])
res, indexer = c.reindex(['a', 'c'])
tm.assert_index_equal(res, Index(['a', 'a', 'c']), exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2],
dtype=np.int64))
c = CategoricalIndex(['a', 'b', 'c', 'a'])
res, indexer = c.reindex(Categorical(['a', 'c']))
exp = CategoricalIndex(['a', 'a', 'c'], categories=['a', 'c'])
tm.assert_index_equal(res, exp, exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2],
dtype=np.int64))
c = CategoricalIndex(['a', 'b', 'c', 'a'],
categories=['a', 'b', 'c', 'd'])
res, indexer = c.reindex(['a', 'c'])
exp = Index(['a', 'a', 'c'], dtype='object')
tm.assert_index_equal(res, exp, exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2],
dtype=np.int64))
c = CategoricalIndex(['a', 'b', 'c', 'a'],
categories=['a', 'b', 'c', 'd'])
res, indexer = c.reindex(Categorical(['a', 'c']))
exp = CategoricalIndex(['a', 'a', 'c'], categories=['a', 'c'])
tm.assert_index_equal(res, exp, exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2],
dtype=np.int64))
def test_reindex_dtype(self):
res, indexer = CategoricalIndex(['a', 'b', 'c',
'a']).reindex(['a', 'c'])
tm.assert_index_equal(res, Index(['a', 'a', 'c']), exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2]))
res, indexer = CategoricalIndex(['a', 'b', 'c',
'a']).reindex(Categorical(['a', 'c']))
tm.assert_index_equal(res,
CategoricalIndex(['a', 'a', 'c'],
categories=['a', 'c']),
exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2]))
res, indexer = CategoricalIndex(['a', 'b', 'c', 'a'],
categories=['a', 'b', 'c',
'd']).reindex(['a', 'c'])
tm.assert_index_equal(res,
Index(['a', 'a', 'c'], dtype='object'),
exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2]))
res, indexer = CategoricalIndex(['a', 'b', 'c', 'a'],
categories=['a', 'b', 'c',
'd']).reindex(
Categorical(['a',
'c']))
tm.assert_index_equal(res,
CategoricalIndex(['a', 'a', 'c'],
categories=['a', 'c']),
exact=True)
tm.assert_numpy_array_equal(indexer, np.array([0, 3, 2]))
def test_equals_categorical(self):
ci1 = CategoricalIndex(['a', 'b'], categories=['a', 'b'], ordered=True)
ci2 = CategoricalIndex(['a', 'b'],
categories=['a', 'b', 'c'],
ordered=True)
self.assertTrue(ci1.equals(ci1))
self.assertFalse(ci1.equals(ci2))
self.assertTrue(ci1.equals(ci1.astype(object)))
self.assertTrue(ci1.astype(object).equals(ci1))
self.assertTrue((ci1 == ci1).all())
self.assertFalse((ci1 != ci1).all())
self.assertFalse((ci1 > ci1).all())
self.assertFalse((ci1 < ci1).all())
self.assertTrue((ci1 <= ci1).all())
self.assertTrue((ci1 >= ci1).all())
self.assertFalse((ci1 == 1).all())
self.assertTrue((ci1 == Index(['a', 'b'])).all())
self.assertTrue((ci1 == ci1.values).all())
# invalid comparisons
with tm.assertRaisesRegexp(ValueError, "Lengths must match"):
ci1 == Index(['a', 'b', 'c'])
self.assertRaises(TypeError, lambda: ci1 == ci2)
self.assertRaises(
TypeError, lambda: ci1 == Categorical(ci1.values, ordered=False))
self.assertRaises(
TypeError,
lambda: ci1 == Categorical(ci1.values, categories=list('abc')))
# tests
# make sure that we are testing for category inclusion properly
ci = CategoricalIndex(list('aabca'), categories=['c', 'a', 'b'])
self.assertFalse(ci.equals(list('aabca')))
self.assertFalse(ci.equals(CategoricalIndex(list('aabca'))))
self.assertTrue(ci.equals(ci.copy()))
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
ci = CategoricalIndex(list('aabca'),
categories=['c', 'a', 'b', np.nan])
self.assertFalse(ci.equals(list('aabca')))
self.assertFalse(ci.equals(CategoricalIndex(list('aabca'))))
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
self.assertTrue(ci.equals(ci.copy()))
ci = CategoricalIndex(list('aabca') + [np.nan],
categories=['c', 'a', 'b'])
self.assertFalse(ci.equals(list('aabca')))
self.assertFalse(ci.equals(CategoricalIndex(list('aabca'))))
self.assertTrue(ci.equals(ci.copy()))
ci = CategoricalIndex(list('aabca') + [np.nan],
categories=['c', 'a', 'b'])
self.assertFalse(ci.equals(list('aabca') + [np.nan]))
self.assertFalse(ci.equals(CategoricalIndex(list('aabca') + [np.nan])))
self.assertTrue(ci.equals(ci.copy()))
def test_reindexing(self):
ci = self.create_index()
oidx = Index(np.array(ci))
for n in [1, 2, 5, len(ci)]:
finder = oidx[np.random.randint(0, len(ci), size=n)]
expected = oidx.get_indexer_non_unique(finder)[0]
actual = ci.get_indexer(finder)
tm.assert_numpy_array_equal(expected, actual)
def test_reindexing(self):
ci = self.create_index()
oidx = Index(np.array(ci))
for n in [1, 2, 5, len(ci)]:
finder = oidx[np.random.randint(0, len(ci), size=n)]
expected = oidx.get_indexer_non_unique(finder)[0]
actual = ci.get_indexer(finder)
tm.assert_numpy_array_equal(expected.values, actual, check_dtype=False)
def test_astype(self):
ci = self.create_index()
result = ci.astype('category')
tm.assert_index_equal(result, ci, exact=True)
result = ci.astype(object)
self.assert_index_equal(result, Index(np.array(ci)))
# this IS equal, but not the same class
self.assertTrue(result.equals(ci))
self.assertIsInstance(result, Index)
self.assertNotIsInstance(result, CategoricalIndex)
# interval
ii = IntervalIndex.from_arrays(left=[-0.001, 2.0],
right=[2, 4],
closed='right')
ci = CategoricalIndex(
Categorical.from_codes([0, 1, -1], categories=ii, ordered=True))
result = ci.astype('interval')
expected = ii.take([0, 1, -1])
tm.assert_index_equal(result, expected)
result = IntervalIndex.from_intervals(result.values)
tm.assert_index_equal(result, expected)
def test_astype(self):
ci = self.create_index()
result = ci.astype('category')
tm.assert_index_equal(result, ci, exact=True)
result = ci.astype(object)
self.assert_index_equal(result, Index(np.array(ci)))
# this IS equal, but not the same class
self.assertTrue(result.equals(ci))
self.assertIsInstance(result, Index)
self.assertNotIsInstance(result, CategoricalIndex)
def test_get_indexer(self):
idx1 = CategoricalIndex(list('aabcde'), categories=list('edabc'))
idx2 = CategoricalIndex(list('abf'))
for indexer in [idx2, list('abf'), Index(list('abf'))]:
r1 = idx1.get_indexer(idx2)
assert_almost_equal(r1, np.array([0, 1, 2, -1], dtype=np.intp))
self.assertRaises(NotImplementedError,
lambda: idx2.get_indexer(idx1, method='pad'))
self.assertRaises(NotImplementedError,
lambda: idx2.get_indexer(idx1, method='backfill'))
self.assertRaises(NotImplementedError,
lambda: idx2.get_indexer(idx1, method='nearest'))
def test_get_loc(self):
# GH 12531
cidx1 = CategoricalIndex(list('abcde'), categories=list('edabc'))
idx1 = Index(list('abcde'))
self.assertEqual(cidx1.get_loc('a'), idx1.get_loc('a'))
self.assertEqual(cidx1.get_loc('e'), idx1.get_loc('e'))
for i in [cidx1, idx1]:
with tm.assertRaises(KeyError):
i.get_loc('NOT-EXIST')
# non-unique
cidx2 = CategoricalIndex(list('aacded'), categories=list('edabc'))
idx2 = Index(list('aacded'))
# results in bool array
res = cidx2.get_loc('d')
self.assert_numpy_array_equal(res, idx2.get_loc('d'))
self.assert_numpy_array_equal(res, np.array([False, False, False,
True, False, True]))
# unique element results in scalar
res = cidx2.get_loc('e')
self.assertEqual(res, idx2.get_loc('e'))
self.assertEqual(res, 4)
for i in [cidx2, idx2]:
with tm.assertRaises(KeyError):
i.get_loc('NOT-EXIST')
# non-unique, slicable
cidx3 = CategoricalIndex(list('aabbb'), categories=list('abc'))
idx3 = Index(list('aabbb'))
# results in slice
res = cidx3.get_loc('a')
self.assertEqual(res, idx3.get_loc('a'))
self.assertEqual(res, slice(0, 2, None))
res = cidx3.get_loc('b')
self.assertEqual(res, idx3.get_loc('b'))
self.assertEqual(res, slice(2, 5, None))
for i in [cidx3, idx3]:
with tm.assertRaises(KeyError):
i.get_loc('c')
def test_map(self):
ci = pd.CategoricalIndex(list('ABABC'),
categories=list('CBA'),
ordered=True)
result = ci.map(lambda x: x.lower())
exp = pd.CategoricalIndex(list('ababc'),
categories=list('cba'),
ordered=True)
tm.assert_index_equal(result, exp)
ci = pd.CategoricalIndex(list('ABABC'),
categories=list('BAC'),
ordered=False,
name='XXX')
result = ci.map(lambda x: x.lower())
exp = pd.CategoricalIndex(list('ababc'),
categories=list('bac'),
ordered=False,
name='XXX')
tm.assert_index_equal(result, exp)
# GH 12766: Return an index not an array
tm.assert_index_equal(
ci.map(lambda x: 1),
Index(np.array([1] * 5, dtype=np.int64), name='XXX'))
# change categories dtype
ci = pd.CategoricalIndex(list('ABABC'),
categories=list('BAC'),
ordered=False)
def f(x):
return {'A': 10, 'B': 20, 'C': 30}.get(x)
result = ci.map(f)
exp = pd.CategoricalIndex([10, 20, 10, 20, 30],
categories=[20, 10, 30],
ordered=False)
tm.assert_index_equal(result, exp)
def test_get_loc(self):
# GH 12531
cidx1 = CategoricalIndex(list('abcde'), categories=list('edabc'))
idx1 = Index(list('abcde'))
self.assertEqual(cidx1.get_loc('a'), idx1.get_loc('a'))
self.assertEqual(cidx1.get_loc('e'), idx1.get_loc('e'))
for i in [cidx1, idx1]:
with tm.assertRaises(KeyError):
i.get_loc('NOT-EXIST')
# non-unique
cidx2 = CategoricalIndex(list('aacded'), categories=list('edabc'))
idx2 = Index(list('aacded'))
# results in bool array
res = cidx2.get_loc('d')
self.assert_numpy_array_equal(res, idx2.get_loc('d'))
self.assert_numpy_array_equal(
res, np.array([False, False, False, True, False, True]))
# unique element results in scalar
res = cidx2.get_loc('e')
self.assertEqual(res, idx2.get_loc('e'))
self.assertEqual(res, 4)
for i in [cidx2, idx2]:
with tm.assertRaises(KeyError):
i.get_loc('NOT-EXIST')
# non-unique, slicable
cidx3 = CategoricalIndex(list('aabbb'), categories=list('abc'))
idx3 = Index(list('aabbb'))
# results in slice
res = cidx3.get_loc('a')
self.assertEqual(res, idx3.get_loc('a'))
self.assertEqual(res, slice(0, 2, None))
res = cidx3.get_loc('b')
self.assertEqual(res, idx3.get_loc('b'))
self.assertEqual(res, slice(2, 5, None))
for i in [cidx3, idx3]:
with tm.assertRaises(KeyError):
i.get_loc('c')
def test_construction(self):
ci = self.create_index(categories=list('abcd'))
categories = ci.categories
result = Index(ci)
tm.assert_index_equal(result, ci, exact=True)
self.assertFalse(result.ordered)
result = Index(ci.values)
tm.assert_index_equal(result, ci, exact=True)
self.assertFalse(result.ordered)
# empty
result = CategoricalIndex(categories=categories)
self.assert_index_equal(result.categories, Index(categories))
tm.assert_numpy_array_equal(result.codes, np.array([], dtype='int8'))
self.assertFalse(result.ordered)
# passing categories
result = CategoricalIndex(list('aabbca'), categories=categories)
self.assert_index_equal(result.categories, Index(categories))
tm.assert_numpy_array_equal(result.codes,
np.array([0, 0, 1, 1, 2, 0], dtype='int8'))
c = pd.Categorical(list('aabbca'))
result = CategoricalIndex(c)
self.assert_index_equal(result.categories, Index(list('abc')))
tm.assert_numpy_array_equal(result.codes,
np.array([0, 0, 1, 1, 2, 0], dtype='int8'))
self.assertFalse(result.ordered)
result = CategoricalIndex(c, categories=categories)
self.assert_index_equal(result.categories, Index(categories))
tm.assert_numpy_array_equal(result.codes,
np.array([0, 0, 1, 1, 2, 0], dtype='int8'))
self.assertFalse(result.ordered)
ci = CategoricalIndex(c, categories=list('abcd'))
result = CategoricalIndex(ci)
self.assert_index_equal(result.categories, Index(categories))
tm.assert_numpy_array_equal(result.codes,
np.array([0, 0, 1, 1, 2, 0], dtype='int8'))
self.assertFalse(result.ordered)
result = CategoricalIndex(ci, categories=list('ab'))
self.assert_index_equal(result.categories, Index(list('ab')))
tm.assert_numpy_array_equal(
result.codes, np.array([0, 0, 1, 1, -1, 0], dtype='int8'))
self.assertFalse(result.ordered)
result = CategoricalIndex(ci, categories=list('ab'), ordered=True)
self.assert_index_equal(result.categories, Index(list('ab')))
tm.assert_numpy_array_equal(
result.codes, np.array([0, 0, 1, 1, -1, 0], dtype='int8'))
self.assertTrue(result.ordered)
# turn me to an Index
result = Index(np.array(ci))
self.assertIsInstance(result, Index)
self.assertNotIsInstance(result, CategoricalIndex)
