/
test_index.py
1139 lines (869 loc) · 39.1 KB
/
test_index.py
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# pylint: disable=E1101,E1103,W0232
from datetime import datetime, timedelta
import operator
import pickle
import unittest
import numpy as np
from pandas.core.index import (Index, Int64Index, Factor,
MultiIndex)
from pandas.util.testing import assert_almost_equal
import pandas.util.testing as tm
import pandas._tseries as tseries
class TestIndex(unittest.TestCase):
def setUp(self):
self.strIndex = tm.makeStringIndex(100)
self.dateIndex = tm.makeDateIndex(100)
self.intIndex = tm.makeIntIndex(100)
self.empty = Index([])
self.tuples = Index(zip(['foo', 'bar', 'baz'], [1, 2, 3]))
def test_hash_error(self):
self.assertRaises(TypeError, hash, self.strIndex)
def test_deepcopy(self):
from copy import deepcopy
copy = deepcopy(self.strIndex)
self.assert_(copy is self.strIndex)
def test_duplicates(self):
idx = Index([0, 0, 0])
self.assert_(not idx._verify_integrity())
self.assertRaises(Exception, getattr, idx, 'indexMap')
def test_sort(self):
self.assertRaises(Exception, self.strIndex.sort)
def test_mutability(self):
self.assertRaises(Exception, self.strIndex.__setitem__, 5, 0)
self.assertRaises(Exception, self.strIndex.__setitem__, slice(1,5), 0)
def test_constructor(self):
# regular instance creation
tm.assert_contains_all(self.strIndex, self.strIndex)
tm.assert_contains_all(self.dateIndex, self.dateIndex)
# casting
arr = np.array(self.strIndex)
index = arr.view(Index)
tm.assert_contains_all(arr, index)
self.assert_(np.array_equal(self.strIndex, index))
# what to do here?
# arr = np.array(5.)
# self.assertRaises(Exception, arr.view, Index)
def test_constructor_corner(self):
# corner case
self.assertRaises(Exception, Index, 0)
def test_compat(self):
self.strIndex.tolist()
def test_equals(self):
# same
self.assert_(Index(['a', 'b', 'c']).equals(Index(['a', 'b', 'c'])))
# different length
self.assertFalse(Index(['a', 'b', 'c']).equals(Index(['a', 'b'])))
# same length, different values
self.assertFalse(Index(['a', 'b', 'c']).equals(Index(['a', 'b', 'd'])))
# Must also be an Index
self.assertFalse(Index(['a', 'b', 'c']).equals(['a', 'b', 'c']))
def test_asof(self):
d = self.dateIndex[0]
self.assert_(self.dateIndex.asof(d) is d)
self.assert_(np.isnan(self.dateIndex.asof(d - timedelta(1))))
d = self.dateIndex[-1]
self.assert_(self.dateIndex.asof(d + timedelta(1)) is d)
def test_argsort(self):
result = self.strIndex.argsort()
expected = np.array(self.strIndex).argsort()
self.assert_(np.array_equal(result, expected))
def test_comparators(self):
index = self.dateIndex
element = index[len(index) // 2]
arr = np.array(index)
def _check(op):
arr_result = op(arr, element)
index_result = op(index, element)
self.assert_(isinstance(index_result, np.ndarray))
self.assert_(not isinstance(index_result, Index))
self.assert_(np.array_equal(arr_result, index_result))
_check(operator.eq)
_check(operator.ne)
_check(operator.gt)
_check(operator.lt)
_check(operator.ge)
_check(operator.le)
def test_booleanindex(self):
boolIdx = np.repeat(True, len(self.strIndex)).astype(bool)
boolIdx[5:30:2] = False
subIndex = self.strIndex[boolIdx]
tm.assert_dict_equal(tseries.map_indices_object(subIndex),
subIndex.indexMap)
subIndex = self.strIndex[list(boolIdx)]
tm.assert_dict_equal(tseries.map_indices_object(subIndex),
subIndex.indexMap)
def test_fancy(self):
sl = self.strIndex[[1,2,3]]
for i in sl:
self.assertEqual(i, sl[sl.indexMap[i]])
def test_getitem(self):
arr = np.array(self.dateIndex)
self.assertEquals(self.dateIndex[5], arr[5])
def test_shift(self):
shifted = self.dateIndex.shift(0, timedelta(1))
self.assert_(shifted is self.dateIndex)
shifted = self.dateIndex.shift(5, timedelta(1))
self.assert_(np.array_equal(shifted, self.dateIndex + timedelta(5)))
def test_intersection(self):
first = self.strIndex[:20]
second = self.strIndex[:10]
intersect = first.intersection(second)
self.assert_(tm.equalContents(intersect, second))
# Corner cases
inter = first.intersection(first)
self.assert_(inter is first)
# non-iterable input
self.assertRaises(Exception, first.intersection, 0.5)
def test_union(self):
first = self.strIndex[5:20]
second = self.strIndex[:10]
everything = self.strIndex[:20]
union = first.union(second)
self.assert_(tm.equalContents(union, everything))
# Corner cases
union = first.union(first)
self.assert_(union is first)
union = first.union([])
self.assert_(union is first)
# non-iterable input
self.assertRaises(Exception, first.union, 0.5)
def test_add(self):
firstCat = self.strIndex + self.dateIndex
secondCat = self.strIndex + self.strIndex
self.assert_(tm.equalContents(np.append(self.strIndex,
self.dateIndex), firstCat))
self.assert_(tm.equalContents(secondCat, self.strIndex))
tm.assert_contains_all(self.strIndex, firstCat.indexMap)
tm.assert_contains_all(self.strIndex, secondCat.indexMap)
tm.assert_contains_all(self.dateIndex, firstCat.indexMap)
# this is valid too
shifted = self.dateIndex + timedelta(1)
def test_append_multiple(self):
index = Index(['a', 'b', 'c', 'd', 'e', 'f'])
foos = [index[:2], index[2:4], index[4:]]
result = foos[0].append(foos[1:])
self.assert_(result.equals(index))
# empty
result = index.append([])
self.assert_(result.equals(index))
def test_add_string(self):
# from bug report
index = Index(['a', 'b', 'c'])
index2 = index + 'foo'
self.assert_('a' not in index2.indexMap)
self.assert_('afoo' in index2.indexMap)
def test_diff(self):
first = self.strIndex[5:20]
second = self.strIndex[:10]
answer = self.strIndex[10:20]
result = first - second
self.assert_(tm.equalContents(result, answer))
diff = first.diff(first)
self.assert_(len(diff) == 0)
# non-iterable input
self.assertRaises(Exception, first.diff, 0.5)
def test_pickle(self):
def testit(index):
pickled = pickle.dumps(index)
unpickled = pickle.loads(pickled)
self.assert_(isinstance(unpickled, Index))
self.assert_(np.array_equal(unpickled, index))
tm.assert_dict_equal(unpickled.indexMap, index.indexMap)
testit(self.strIndex)
testit(self.dateIndex)
# def test_always_get_null_index(self):
# empty = Index([])
# self.assert_(empty is NULL_INDEX)
# self.assert_(self.dateIndex[15:15] is NULL_INDEX)
def test_is_all_dates(self):
self.assert_(self.dateIndex.is_all_dates())
self.assert_(not self.strIndex.is_all_dates())
self.assert_(not self.intIndex.is_all_dates())
def test_summary(self):
self._check_method_works(Index.summary)
def test_format(self):
self._check_method_works(Index.format)
index = Index([datetime.now()])
formatted = index.format()
expected = [str(index[0])]
self.assertEquals(formatted, expected)
self.strIndex[:0].format()
def test_take(self):
indexer = [4, 3, 0, 2]
result = self.dateIndex.take(indexer)
expected = self.dateIndex[indexer]
self.assert_(result.equals(expected))
def _check_method_works(self, method):
method(self.empty)
method(self.dateIndex)
method(self.strIndex)
method(self.intIndex)
method(self.tuples)
def test_get_indexer(self):
idx1 = Index([1, 2, 3, 4, 5])
idx2 = Index([2, 4, 6])
r1 = idx1.get_indexer(idx2)
assert_almost_equal(r1, [1, 3, -1])
r1 = idx2.get_indexer(idx1, method='pad')
assert_almost_equal(r1, [-1, 0, 0, 1, 1])
rffill1 = idx2.get_indexer(idx1, method='ffill')
assert_almost_equal(r1, rffill1)
r1 = idx2.get_indexer(idx1, method='backfill')
assert_almost_equal(r1, [0, 0, 1, 1, 2])
rbfill1 = idx2.get_indexer(idx1, method='bfill')
assert_almost_equal(r1, rbfill1)
def test_slice_locs(self):
idx = Index([0, 1, 2, 5, 6, 7, 9, 10])
n = len(idx)
self.assertEquals(idx.slice_locs(start=2), (2, n))
self.assertEquals(idx.slice_locs(start=3), (3, n))
self.assertEquals(idx.slice_locs(3, 8), (3, 6))
self.assertEquals(idx.slice_locs(5, 10), (3, n))
self.assertEquals(idx.slice_locs(end=8), (0, 6))
self.assertEquals(idx.slice_locs(end=9), (0, 7))
def test_drop(self):
n = len(self.strIndex)
dropped = self.strIndex.drop(self.strIndex[range(5, 10)])
expected = self.strIndex[range(5) + range(10, n)]
self.assert_(dropped.equals(expected))
self.assertRaises(ValueError, self.strIndex.drop, ['foo', 'bar'])
def test_tuple_union_bug(self):
import pandas
import numpy as np
idx1 = np.array([(1, 'A'),(2, 'A'),(1, 'B'),(2, 'B')], dtype=[('num',
int),('let', 'a1')])
idx2 = np.array([(1, 'A'),(2, 'A'),(1, 'B'),(2, 'B'),(1,'C'),(2,
'C')], dtype=[('num', int),('let', 'a1')])
idx1 = pandas.Index(idx1)
idx2 = pandas.Index(idx2)
# intersection broken?
int_idx = idx1.intersection(idx2)
# needs to be 1d like idx1 and idx2
expected = idx1[:4] # pandas.Index(sorted(set(idx1) & set(idx2)))
self.assert_(int_idx.ndim == 1)
self.assert_(int_idx.equals(expected))
# union broken
union_idx = idx1.union(idx2)
expected = pandas.Index(sorted(set(idx1) | set(idx2)))
self.assert_(union_idx.ndim == 1)
self.assert_(union_idx.equals(expected))
class TestInt64Index(unittest.TestCase):
def setUp(self):
self.index = Int64Index(np.arange(0, 20, 2))
def test_constructor(self):
# pass list, coerce fine
index = Int64Index([-5, 0, 1, 2])
expected = np.array([-5, 0, 1, 2], dtype=np.int64)
self.assert_(np.array_equal(index, expected))
# from iterable
index = Int64Index(iter([-5, 0, 1, 2]))
self.assert_(np.array_equal(index, expected))
# scalar raise Exception
self.assertRaises(ValueError, Int64Index, 5)
def test_constructor_corner(self):
arr = np.array([1, 2, 3, 4], dtype=object)
index = Int64Index(arr)
self.assert_(index.values.dtype == np.int64)
self.assert_(index.equals(arr))
# preventing casting
arr = np.array([1, '2', 3, '4'], dtype=object)
self.assertRaises(TypeError, Int64Index, arr)
def test_dtype(self):
self.assert_(self.index.dtype == np.int64)
def test_is_monotonic(self):
self.assert_(self.index.is_monotonic)
index = Int64Index([4, 3, 2, 1])
self.assert_(not index.is_monotonic)
def test_equals(self):
same_values = Index(self.index, dtype=object)
self.assert_(self.index.equals(same_values))
self.assert_(same_values.equals(self.index))
def test_get_indexer(self):
target = Int64Index(np.arange(10))
indexer = self.index.get_indexer(target)
expected = np.array([0, -1, 1, -1, 2, -1, 3, -1, 4, -1])
self.assert_(np.array_equal(indexer, expected))
def test_get_indexer_pad(self):
target = Int64Index(np.arange(10))
indexer = self.index.get_indexer(target, method='pad')
expected = np.array([0, 0, 1, 1, 2, 2, 3, 3, 4, 4])
self.assert_(np.array_equal(indexer, expected))
def test_get_indexer_backfill(self):
target = Int64Index(np.arange(10))
indexer = self.index.get_indexer(target, method='backfill')
expected = np.array([0, 1, 1, 2, 2, 3, 3, 4, 4, 5])
self.assert_(np.array_equal(indexer, expected))
def test_join_outer(self):
other = Int64Index([7, 12, 25, 1, 2, 5])
other_mono = Int64Index([1, 2, 5, 7, 12, 25])
# not monotonic
# guarantee of sortedness
res, lidx, ridx = self.index.join(other, how='outer',
return_indexers=True)
noidx_res = self.index.join(other, how='outer')
self.assert_(res.equals(noidx_res))
eres = Int64Index([0, 1, 2, 4, 5, 6, 7, 8, 10, 12, 14, 16, 18, 25])
elidx = np.array([0, -1, 1, 2, -1, 3, -1, 4, 5, 6, 7, 8, 9, -1],
dtype='i4')
eridx = np.array([-1, 3, 4, -1, 5, -1, 0, -1, -1, 1, -1, -1, -1, 2],
dtype='i4')
self.assert_(isinstance(res, Int64Index))
self.assert_(res.equals(eres))
self.assert_(np.array_equal(lidx, elidx))
self.assert_(np.array_equal(ridx, eridx))
# monotonic
res, lidx, ridx = self.index.join(other_mono, how='outer',
return_indexers=True)
noidx_res = self.index.join(other_mono, how='outer')
self.assert_(res.equals(noidx_res))
eridx = np.array([-1, 0, 1, -1, 2, -1, 3, -1, -1, 4, -1, -1, -1, 5],
dtype='i4')
self.assert_(isinstance(res, Int64Index))
self.assert_(res.equals(eres))
self.assert_(np.array_equal(lidx, elidx))
self.assert_(np.array_equal(ridx, eridx))
def test_join_inner(self):
other = Int64Index([7, 12, 25, 1, 2, 5])
other_mono = Int64Index([1, 2, 5, 7, 12, 25])
# not monotonic
res, lidx, ridx = self.index.join(other, how='inner',
return_indexers=True)
# no guarantee of sortedness, so sort for comparison purposes
ind = res.argsort()
res = res.take(ind)
lidx = lidx.take(ind)
ridx = ridx.take(ind)
eres = Int64Index([2, 12])
elidx = np.array([1, 6])
eridx = np.array([4, 1])
self.assert_(isinstance(res, Int64Index))
self.assert_(res.equals(eres))
self.assert_(np.array_equal(lidx, elidx))
self.assert_(np.array_equal(ridx, eridx))
# monotonic
res, lidx, ridx = self.index.join(other_mono, how='inner',
return_indexers=True)
res2 = self.index.intersection(other_mono)
self.assert_(res.equals(res2))
eridx = np.array([1, 4])
self.assert_(isinstance(res, Int64Index))
self.assert_(res.equals(eres))
self.assert_(np.array_equal(lidx, elidx))
self.assert_(np.array_equal(ridx, eridx))
def test_join_left(self):
other = Int64Index([7, 12, 25, 1, 2, 5])
other_mono = Int64Index([1, 2, 5, 7, 12, 25])
# not monotonic
res, lidx, ridx = self.index.join(other, how='left',
return_indexers=True)
eres = self.index
eridx = np.array([-1, 4, -1, -1, -1, -1, 1, -1, -1, -1],
dtype='i4')
self.assert_(isinstance(res, Int64Index))
self.assert_(res.equals(eres))
self.assert_(lidx is None)
self.assert_(np.array_equal(ridx, eridx))
# monotonic
res, lidx, ridx = self.index.join(other_mono, how='left',
return_indexers=True)
eridx = np.array([-1, 1, -1, -1, -1, -1, 4, -1, -1, -1],
dtype='i4')
self.assert_(isinstance(res, Int64Index))
self.assert_(res.equals(eres))
self.assert_(lidx is None)
self.assert_(np.array_equal(ridx, eridx))
def test_join_right(self):
other = Int64Index([7, 12, 25, 1, 2, 5])
other_mono = Int64Index([1, 2, 5, 7, 12, 25])
# not monotonic
res, lidx, ridx = self.index.join(other, how='right',
return_indexers=True)
eres = other
elidx = np.array([-1, 6, -1, -1, 1, -1],
dtype='i4')
self.assert_(isinstance(other, Int64Index))
self.assert_(res.equals(eres))
self.assert_(np.array_equal(lidx, elidx))
self.assert_(ridx is None)
# monotonic
res, lidx, ridx = self.index.join(other_mono, how='right',
return_indexers=True)
eres = other_mono
elidx = np.array([-1, 1, -1, -1, 6, -1],
dtype='i4')
self.assert_(isinstance(other, Int64Index))
self.assert_(res.equals(eres))
self.assert_(np.array_equal(lidx, elidx))
self.assert_(ridx is None)
def test_join_non_int_index(self):
other = Index([3, 6, 7, 8, 10], dtype=object)
outer = self.index.join(other, how='outer')
outer2 = other.join(self.index, how='outer')
expected = Index([0, 2, 3, 4, 6, 7, 8, 10, 12, 14,
16, 18], dtype=object)
self.assert_(outer.equals(outer2))
self.assert_(outer.equals(expected))
inner = self.index.join(other, how='inner')
inner2 = other.join(self.index, how='inner')
expected = Index([6, 8, 10], dtype=object)
self.assert_(inner.equals(inner2))
self.assert_(inner.equals(expected))
left = self.index.join(other, how='left')
self.assert_(left.equals(self.index))
left2 = other.join(self.index, how='left')
self.assert_(left2.equals(other))
right = self.index.join(other, how='right')
self.assert_(right.equals(other))
right2 = other.join(self.index, how='right')
self.assert_(right2.equals(self.index))
def test_intersection(self):
other = Index([1, 2, 3, 4, 5])
result = self.index.intersection(other)
expected = np.sort(np.intersect1d(self.index.values, other.values))
self.assert_(np.array_equal(result, expected))
result = other.intersection(self.index)
expected = np.sort(np.asarray(np.intersect1d(self.index.values,
other.values)))
self.assert_(np.array_equal(result, expected))
def test_union_noncomparable(self):
from datetime import datetime, timedelta
# corner case, non-Int64Index
now = datetime.now()
other = Index([now + timedelta(i) for i in xrange(4)])
result = self.index.union(other)
expected = np.concatenate((self.index, other))
self.assert_(np.array_equal(result, expected))
result = other.union(self.index)
expected = np.concatenate((other, self.index))
self.assert_(np.array_equal(result, expected))
def test_cant_or_shouldnt_cast(self):
# can't
data = ['foo', 'bar', 'baz']
self.assertRaises(TypeError, Int64Index, data)
# shouldn't
data = ['0', '1', '2']
self.assertRaises(TypeError, Int64Index, data)
def test_view_Index(self):
self.index.view(Index)
def test_prevent_casting(self):
result = self.index.astype('O')
self.assert_(result.dtype == np.object_)
def test_take_preserve_name(self):
index = Int64Index([1,2,3,4], name='foo')
taken = index.take([3,0,1])
self.assertEqual(index.name, taken.name)
class TestMultiIndex(unittest.TestCase):
def setUp(self):
major_axis = Index(['foo', 'bar', 'baz', 'qux'])
minor_axis = Index(['one', 'two'])
major_labels = np.array([0, 0, 1, 2, 3, 3])
minor_labels = np.array([0, 1, 0, 1, 0, 1])
self.index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels],
names=['first', 'second'])
def test_constructor_single_level(self):
single_level = MultiIndex(levels=[['foo', 'bar', 'baz', 'qux']],
labels=[[0, 1, 2, 3]],
names=['first'])
self.assert_(isinstance(single_level, Index))
self.assert_(not isinstance(single_level, MultiIndex))
self.assert_(single_level.name == 'first')
single_level = MultiIndex(levels=[['foo', 'bar', 'baz', 'qux']],
labels=[[0, 1, 2, 3]])
self.assert_(single_level.name is None)
def test_constructor_no_levels(self):
self.assertRaises(Exception, MultiIndex, levels=[], labels=[])
def test_duplicate_names(self):
self.index.names = ['foo', 'foo']
self.assertRaises(Exception, self.index._get_level_number, 'foo')
def test_from_arrays(self):
arrays = []
for lev, lab in zip(self.index.levels, self.index.labels):
arrays.append(np.asarray(lev).take(lab))
result = MultiIndex.from_arrays(arrays)
self.assertEquals(list(result), list(self.index))
def test_append(self):
result = self.index[:3].append(self.index[3:])
self.assert_(result.equals(self.index))
foos = [self.index[:1], self.index[1:3], self.index[3:]]
result = foos[0].append(foos[1:])
self.assert_(result.equals(self.index))
# empty
result = self.index.append([])
self.assert_(result.equals(self.index))
def test_get_level_values(self):
result = self.index.get_level_values(0)
expected = ['foo', 'foo', 'bar', 'baz', 'qux', 'qux']
self.assert_(np.array_equal(result, expected))
def test_nlevels(self):
self.assertEquals(self.index.nlevels, 2)
def test_iter(self):
result = list(self.index)
expected = [('foo', 'one'), ('foo', 'two'), ('bar', 'one'),
('baz', 'two'), ('qux', 'one'), ('qux', 'two')]
self.assert_(result == expected)
def test_pickle(self):
pickled = pickle.dumps(self.index)
unpickled = pickle.loads(pickled)
self.assert_(self.index.equals(unpickled))
def test_contains(self):
self.assert_(('foo', 'two') in self.index)
self.assert_(('bar', 'two') not in self.index)
self.assert_(None not in self.index)
def test_is_all_dates(self):
self.assert_(not self.index.is_all_dates())
def test_getitem(self):
# scalar
self.assertEquals(self.index[2], ('bar', 'one'))
# slice
result = self.index[2:5]
expected = self.index[[2,3,4]]
self.assert_(result.equals(expected))
# boolean
result = self.index[[True, False, True, False, True, True]]
result2 = self.index[np.array([True, False, True, False, True, True])]
expected = self.index[[0, 2, 4, 5]]
self.assert_(result.equals(expected))
self.assert_(result2.equals(expected))
def test_getitem_group_select(self):
sorted_idx, _ = self.index.sortlevel(0)
self.assertEquals(sorted_idx.get_loc('baz'), slice(3, 4))
self.assertEquals(sorted_idx.get_loc('foo'), slice(0, 2))
def test_get_loc(self):
self.assert_(self.index.get_loc(('foo', 'two')) == 1)
self.assert_(self.index.get_loc(('baz', 'two')) == 3)
self.assertRaises(KeyError, self.index.get_loc, ('bar', 'two'))
self.assertRaises(KeyError, self.index.get_loc, 'quux')
# 3 levels
index = MultiIndex(levels=[Index(range(4)),
Index(range(4)),
Index(range(4))],
labels=[np.array([0, 0, 1, 2, 2, 2, 3, 3]),
np.array([0, 1, 0, 0, 0, 1, 0, 1]),
np.array([1, 0, 1, 1, 0, 0, 1, 0])])
self.assertRaises(KeyError, index.get_loc, (1, 1))
self.assert_(index.get_loc((2, 0)) == slice(3, 5))
def test_slice_locs(self):
df = tm.makeTimeDataFrame()
stacked = df.stack()
idx = stacked.index
slob = slice(*idx.slice_locs(df.index[5], df.index[15]))
sliced = stacked[slob]
expected = df[5:16].stack()
tm.assert_almost_equal(sliced.values, expected.values)
slob = slice(*idx.slice_locs(df.index[5] + timedelta(seconds=30),
df.index[15] - timedelta(seconds=30)))
sliced = stacked[slob]
expected = df[6:15].stack()
tm.assert_almost_equal(sliced.values, expected.values)
def test_slice_locs_not_sorted(self):
index = MultiIndex(levels=[Index(range(4)),
Index(range(4)),
Index(range(4))],
labels=[np.array([0, 0, 1, 2, 2, 2, 3, 3]),
np.array([0, 1, 0, 0, 0, 1, 0, 1]),
np.array([1, 0, 1, 1, 0, 0, 1, 0])])
self.assertRaises(Exception, index.slice_locs, (1, 0, 1),
(2, 1, 0))
# works
sorted_index, _ = index.sortlevel(0)
result = sorted_index.slice_locs((1, 0, 1), (2, 1, 0))
def test_slice_locs_partial(self):
sorted_idx, _ = self.index.sortlevel(0)
result = sorted_idx.slice_locs(('foo', 'two'), ('qux', 'one'))
self.assertEquals(result, (1, 5))
result = sorted_idx.slice_locs(None, ('qux', 'one'))
self.assertEquals(result, (0, 5))
result = sorted_idx.slice_locs(('foo', 'two'), None)
self.assertEquals(result, (1, len(sorted_idx)))
result = sorted_idx.slice_locs('bar', 'baz')
self.assertEquals(result, (2, 4))
def test_slice_locs_not_contained(self):
# some searchsorted action
index = MultiIndex(levels=[[0, 2, 4, 6], [0, 2, 4]],
labels=[[0, 0, 0, 1, 1, 2, 3, 3, 3],
[0, 1, 2, 1, 2, 2, 0, 1, 2]],
sortorder=0)
result = index.slice_locs((1, 0), (5, 2))
self.assertEquals(result, (3, 6))
result = index.slice_locs(1, 5)
self.assertEquals(result, (3, 6))
result = index.slice_locs((2, 2), (5, 2))
self.assertEquals(result, (3, 6))
result = index.slice_locs(2, 5)
self.assertEquals(result, (3, 6))
result = index.slice_locs((1, 0), (6, 3))
self.assertEquals(result, (3, 8))
result = index.slice_locs(-1, 10)
self.assertEquals(result, (0, len(index)))
def test_consistency(self):
# need to construct an overflow
major_axis = range(70000)
minor_axis = range(10)
major_labels = np.arange(70000)
minor_labels = np.repeat(range(10), 7000)
# the fact that is works means it's consistent
index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels])
# inconsistent
major_labels = np.array([0, 0, 1, 1, 1, 2, 2, 3, 3])
minor_labels = np.array([0, 1, 0, 1, 1, 0, 1, 0, 1])
index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels])
self.assertRaises(Exception, getattr, index, 'indexMap')
def test_truncate(self):
major_axis = Index(range(4))
minor_axis = Index(range(2))
major_labels = np.array([0, 0, 1, 2, 3, 3])
minor_labels = np.array([0, 1, 0, 1, 0, 1])
index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels])
result = index.truncate(before=1)
self.assert_('foo' not in result.levels[0])
self.assert_(1 in result.levels[0])
result = index.truncate(after=1)
self.assert_(2 not in result.levels[0])
self.assert_(1 in result.levels[0])
result = index.truncate(before=1, after=2)
self.assertEqual(len(result.levels[0]), 2)
def test_get_indexer(self):
major_axis = Index(range(4))
minor_axis = Index(range(2))
major_labels = np.array([0, 0, 1, 2, 2, 3, 3])
minor_labels = np.array([0, 1, 0, 0, 1, 0, 1])
index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels])
idx1 = index[:5]
idx2 = index[[1,3,5]]
r1 = idx1.get_indexer(idx2)
assert_almost_equal(r1, [1, 3, -1])
r1 = idx2.get_indexer(idx1, method='pad')
assert_almost_equal(r1, [-1, 0, 0, 1, 1])
rffill1 = idx2.get_indexer(idx1, method='ffill')
assert_almost_equal(r1, rffill1)
r1 = idx2.get_indexer(idx1, method='backfill')
assert_almost_equal(r1, [0, 0, 1, 1, 2])
rbfill1 = idx2.get_indexer(idx1, method='bfill')
assert_almost_equal(r1, rbfill1)
# pass non-MultiIndex
r1 = idx1.get_indexer(idx2.get_tuple_index())
rexp1 = idx1.get_indexer(idx2)
assert_almost_equal(r1, rexp1)
self.assertRaises(Exception, idx1.get_indexer,
list(list(zip(*idx2.get_tuple_index()))[0]))
def test_format(self):
self.index.format()
self.index[:0].format()
def test_bounds(self):
self.index._bounds
def test_makeMask(self):
from pandas.core.panel import make_mask
mask = make_mask(self.index)
expected = np.array([True, True,
True, False,
False, True,
True, True], dtype=bool)
self.assert_(np.array_equal(mask, expected))
def test_equals(self):
self.assert_(self.index.equals(self.index))
self.assert_(self.index.equal_levels(self.index))
self.assert_(not self.index.equals(self.index[:-1]))
self.assert_(not self.index.equals(self.index.get_tuple_index()))
# different number of levels
index = MultiIndex(levels=[Index(range(4)),
Index(range(4)),
Index(range(4))],
labels=[np.array([0, 0, 1, 2, 2, 2, 3, 3]),
np.array([0, 1, 0, 0, 0, 1, 0, 1]),
np.array([1, 0, 1, 1, 0, 0, 1, 0])])
index2 = MultiIndex(levels=index.levels[:-1],
labels=index.labels[:-1])
self.assert_(not index.equals(index2))
self.assert_(not index.equal_levels(index2))
# levels are different
major_axis = Index(range(4))
minor_axis = Index(range(2))
major_labels = np.array([0, 0, 1, 2, 2, 3])
minor_labels = np.array([0, 1, 0, 0, 1, 0])
index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels])
self.assert_(not self.index.equals(index))
self.assert_(not self.index.equal_levels(index))
# some of the labels are different
major_axis = Index(['foo', 'bar', 'baz', 'qux'])
minor_axis = Index(['one', 'two'])
major_labels = np.array([0, 0, 2, 2, 3, 3])
minor_labels = np.array([0, 1, 0, 1, 0, 1])
index = MultiIndex(levels=[major_axis, minor_axis],
labels=[major_labels, minor_labels])
self.assert_(not self.index.equals(index))
def test_union(self):
piece1 = self.index[:5][::-1]
piece2 = self.index[3:]
the_union = piece1 | piece2
tups = sorted(self.index.get_tuple_index())
expected = MultiIndex.from_tuples(tups)
self.assert_(the_union.equals(expected))
# corner case, pass self or empty thing:
the_union = self.index.union(self.index)
self.assert_(the_union is self.index)
the_union = self.index.union(self.index[:0])
self.assert_(the_union is self.index)
# won't work in python 3
# tuples = self.index.get_tuple_index()
# result = self.index[:4] | tuples[4:]
# self.assert_(result.equals(tuples))
# not valid for python 3
# def test_union_with_regular_index(self):
# other = Index(['A', 'B', 'C'])
# result = other.union(self.index)
# self.assert_(('foo', 'one') in result)
# self.assert_('B' in result)
# result2 = self.index.union(other)
# self.assert_(result.equals(result2))
def test_intersection(self):
piece1 = self.index[:5][::-1]
piece2 = self.index[3:]
the_int = piece1 & piece2
tups = sorted(self.index[3:5].get_tuple_index())
expected = MultiIndex.from_tuples(tups)
self.assert_(the_int.equals(expected))
# corner case, pass self
the_int = self.index.intersection(self.index)
self.assert_(the_int is self.index)
# empty intersection: disjoint
empty = self.index[:2] & self.index[2:]
expected = self.index[:0]
self.assert_(empty.equals(expected))
# can't do in python 3
# tuples = self.index.get_tuple_index()
# result = self.index & tuples
# self.assert_(result.equals(tuples))
def test_diff(self):
first = self.index
result = first - self.index[-3:]
expected = MultiIndex.from_tuples(sorted(self.index[:-3].values),
sortorder=0,
names=self.index.names)
self.assert_(isinstance(result, MultiIndex))
self.assert_(result.equals(expected))
self.assertEqual(result.names, self.index.names)
# empty difference: reflexive
result = self.index - self.index
expected = self.index[:0]
self.assert_(result.equals(expected))
self.assertEqual(result.names, self.index.names)
# empty difference: superset
result = self.index[-3:] - self.index
expected = self.index[:0]
self.assert_(result.equals(expected))
self.assertEqual(result.names, self.index.names)
# empty difference: degenerate
result = self.index[:0] - self.index
expected = self.index[:0]
self.assert_(result.equals(expected))
self.assertEqual(result.names, self.index.names)