/pandas/tests/test_index.py

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# pylint: disable=E1101,E1103,W0232

from datetime import datetime, timedelta
from pandas.compat import range, lrange, lzip, u, zip
import operator
import pickle
import re
import nose
import warnings
import os

import numpy as np
from numpy.testing import assert_array_equal

from pandas.core.index import (Index, Float64Index, Int64Index, MultiIndex,
                               InvalidIndexError)
from pandas.tseries.index import DatetimeIndex
from pandas.core.series import Series
from pandas.util.testing import (assert_almost_equal, assertRaisesRegexp,
                                 assert_copy)
from pandas import compat
from pandas.compat import long

import pandas.util.testing as tm
import pandas.core.config as cf

from pandas.tseries.index import _to_m8
import pandas.tseries.offsets as offsets

import pandas as pd
from pandas.lib import Timestamp

from pandas import _np_version_under1p7

class TestIndex(tm.TestCase):
    _multiprocess_can_split_ = True

    def setUp(self):
        self.indices = dict(
            unicodeIndex = tm.makeUnicodeIndex(100),
            strIndex = tm.makeStringIndex(100),
            dateIndex = tm.makeDateIndex(100),
            intIndex = tm.makeIntIndex(100),
            floatIndex = tm.makeFloatIndex(100),
            empty = Index([]),
            tuples = MultiIndex.from_tuples(lzip(['foo', 'bar', 'baz'],
                                                 [1, 2, 3]))
        )
        for name, ind in self.indices.items():
            setattr(self, name, ind)

    def test_wrong_number_names(self):
        def testit(ind):
            ind.names = ["apple", "banana", "carrot"]

        for ind in self.indices.values():
            assertRaisesRegexp(ValueError, "^Length", testit, ind)

    def test_set_name_methods(self):
        new_name = "This is the new name for this index"
        indices = (self.dateIndex, self.intIndex, self.unicodeIndex,
                   self.empty)
        for ind in indices:
            original_name = ind.name
            new_ind = ind.set_names([new_name])
            self.assertEqual(new_ind.name, new_name)
            self.assertEqual(ind.name, original_name)
            res = ind.rename(new_name, inplace=True)
            # should return None
            self.assertIsNone(res)
            self.assertEqual(ind.name, new_name)
            self.assertEqual(ind.names, [new_name])
            with assertRaisesRegexp(TypeError, "list-like"):
                # should still fail even if it would be the right length
                ind.set_names("a")
        # rename in place just leaves tuples and other containers alone
        name = ('A', 'B')
        ind = self.intIndex
        ind.rename(name, inplace=True)
        self.assertEqual(ind.name, name)
        self.assertEqual(ind.names, [name])

    def test_hash_error(self):
        with tm.assertRaisesRegexp(TypeError,
                                   "unhashable type: %r" %
                                   type(self.strIndex).__name__):
            hash(self.strIndex)

    def test_new_axis(self):
        new_index = self.dateIndex[None, :]
        self.assertEqual(new_index.ndim, 2)
        tm.assert_isinstance(new_index, np.ndarray)

    def test_copy_and_deepcopy(self):
        from copy import copy, deepcopy

        for func in (copy, deepcopy):
            idx_copy = func(self.strIndex)
            self.assertIsNot(idx_copy, self.strIndex)
            self.assertTrue(idx_copy.equals(self.strIndex))

        new_copy = self.strIndex.copy(deep=True, name="banana")
        self.assertEqual(new_copy.name, "banana")
        new_copy2 = self.intIndex.copy(dtype=int)
        self.assertEqual(new_copy2.dtype.kind, 'i')

    def test_duplicates(self):
        idx = Index([0, 0, 0])
        self.assertFalse(idx.is_unique)

    def test_sort(self):
        self.assertRaises(TypeError, self.strIndex.sort)

    def test_mutability(self):
        self.assertRaises(TypeError, self.strIndex.__setitem__, 0, 'foo')

    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_numpy_array_equal(self.strIndex, index)

        # copy
        arr = np.array(self.strIndex)
        index = Index(arr, copy=True, name='name')
        tm.assert_isinstance(index, Index)
        self.assertEqual(index.name, 'name')
        assert_array_equal(arr, index)
        arr[0] = "SOMEBIGLONGSTRING"
        self.assertNotEqual(index[0], "SOMEBIGLONGSTRING")

        # what to do here?
        # arr = np.array(5.)
        # self.assertRaises(Exception, arr.view, Index)

    def test_constructor_corner(self):
        # corner case
        self.assertRaises(TypeError, Index, 0)

    def test_constructor_from_series(self):

        expected = DatetimeIndex([Timestamp('20110101'),Timestamp('20120101'),Timestamp('20130101')])
        s = Series([Timestamp('20110101'),Timestamp('20120101'),Timestamp('20130101')])
        result = Index(s)
        self.assertTrue(result.equals(expected))
        result = DatetimeIndex(s)
        self.assertTrue(result.equals(expected))

        # GH 6273
        # create from a series, passing a freq
        s = Series(pd.to_datetime(['1-1-1990', '2-1-1990', '3-1-1990', '4-1-1990', '5-1-1990']))
        result = DatetimeIndex(s, freq='MS')
        expected = DatetimeIndex(['1-1-1990', '2-1-1990', '3-1-1990', '4-1-1990', '5-1-1990'],freq='MS')
        self.assertTrue(result.equals(expected))

        df = pd.DataFrame(np.random.rand(5,3))
        df['date'] = ['1-1-1990', '2-1-1990', '3-1-1990', '4-1-1990', '5-1-1990']
        result = DatetimeIndex(df['date'], freq='MS')

        # GH 6274
        # infer freq of same
        result = pd.infer_freq(df['date'])
        self.assertEqual(result,'MS')

    def test_constructor_ndarray_like(self):
        # GH 5460#issuecomment-44474502
        # it should be possible to convert any object that satisfies the numpy
        # ndarray interface directly into an Index
        class ArrayLike(object):
            def __init__(self, array):
                self.array = array
            def __array__(self, dtype=None):
                return self.array

        for array in [np.arange(5),
                      np.array(['a', 'b', 'c']),
                      pd.date_range('2000-01-01', periods=3).values]:
            expected = pd.Index(array)
            result = pd.Index(ArrayLike(array))
            self.assertTrue(result.equals(expected))

    def test_index_ctor_infer_periodindex(self):
        from pandas import period_range, PeriodIndex
        xp = period_range('2012-1-1', freq='M', periods=3)
        rs = Index(xp)
        assert_array_equal(rs, xp)
        tm.assert_isinstance(rs, PeriodIndex)

    def test_constructor_simple_new(self):
        idx = Index([1, 2, 3, 4, 5], name='int')
        result = idx._simple_new(idx, 'int')
        self.assertTrue(result.equals(idx))

        idx = Index([1.1, np.nan, 2.2, 3.0], name='float')
        result = idx._simple_new(idx, 'float')
        self.assertTrue(result.equals(idx))

        idx = Index(['A', 'B', 'C', np.nan], name='obj')
        result = idx._simple_new(idx, 'obj')
        self.assertTrue(result.equals(idx))

    def test_copy(self):
        i = Index([], name='Foo')
        i_copy = i.copy()
        self.assertEqual(i_copy.name, 'Foo')

    def test_view(self):
        i = Index([], name='Foo')
        i_view = i.view()
        self.assertEqual(i_view.name, 'Foo')

    def test_astype(self):
        casted = self.intIndex.astype('i8')

        # it works!
        casted.get_loc(5)

        # pass on name
        self.intIndex.name = 'foobar'
        casted = self.intIndex.astype('i8')
        self.assertEqual(casted.name, 'foobar')

    def test_compat(self):
        self.strIndex.tolist()

    def test_equals(self):
        # same
        self.assertTrue(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_insert(self):

        # GH 7256
        # validate neg/pos inserts
        result = Index(['b', 'c', 'd'])

        #test 0th element
        self.assertTrue(Index(['a', 'b', 'c', 'd']).equals(
            result.insert(0, 'a')))

        #test Nth element that follows Python list behavior
        self.assertTrue(Index(['b', 'c', 'e', 'd']).equals(
            result.insert(-1, 'e')))

        #test loc +/- neq (0, -1)
        self.assertTrue(result.insert(1, 'z').equals(
            result.insert(-2, 'z')))

        #test empty
        null_index = Index([])
        self.assertTrue(Index(['a']).equals(
            null_index.insert(0, 'a')))

    def test_delete(self):
        idx = Index(['a', 'b', 'c', 'd'], name='idx')

        expected = Index(['b', 'c', 'd'], name='idx')
        result = idx.delete(0)
        self.assertTrue(result.equals(expected))
        self.assertEqual(result.name, expected.name)

        expected = Index(['a', 'b', 'c'], name='idx')
        result = idx.delete(-1)
        self.assertTrue(result.equals(expected))
        self.assertEqual(result.name, expected.name)

        with tm.assertRaises((IndexError, ValueError)):
            # either depeidnig on numpy version
            result = idx.delete(5)

    def test_identical(self):

        # index
        i1 = Index(['a', 'b', 'c'])
        i2 = Index(['a', 'b', 'c'])

        self.assertTrue(i1.identical(i2))

        i1 = i1.rename('foo')
        self.assertTrue(i1.equals(i2))
        self.assertFalse(i1.identical(i2))

        i2 = i2.rename('foo')
        self.assertTrue(i1.identical(i2))

        i3 = Index([('a', 'a'), ('a', 'b'), ('b', 'a')])
        i4 = Index([('a', 'a'), ('a', 'b'), ('b', 'a')], tupleize_cols=False)
        self.assertFalse(i3.identical(i4))

    def test_is_(self):
        ind = Index(range(10))
        self.assertTrue(ind.is_(ind))
        self.assertTrue(ind.is_(ind.view().view().view().view()))
        self.assertFalse(ind.is_(Index(range(10))))
        self.assertFalse(ind.is_(ind.copy()))
        self.assertFalse(ind.is_(ind.copy(deep=False)))
        self.assertFalse(ind.is_(ind[:]))
        self.assertFalse(ind.is_(ind.view(np.ndarray).view(Index)))
        self.assertFalse(ind.is_(np.array(range(10))))
        # quasi-implementation dependent
        self.assertTrue(ind.is_(ind.view().base))
        ind2 = ind.view()
        ind2.name = 'bob'
        self.assertTrue(ind.is_(ind2))
        self.assertTrue(ind2.is_(ind))
        # doesn't matter if Indices are *actually* views of underlying data,
        self.assertFalse(ind.is_(Index(ind.values)))
        arr = np.array(range(1, 11))
        ind1 = Index(arr, copy=False)
        ind2 = Index(arr, copy=False)
        self.assertFalse(ind1.is_(ind2))

    def test_asof(self):
        d = self.dateIndex[0]
        self.assertIs(self.dateIndex.asof(d), d)
        self.assertTrue(np.isnan(self.dateIndex.asof(d - timedelta(1))))

        d = self.dateIndex[-1]
        self.assertEqual(self.dateIndex.asof(d + timedelta(1)), d)

        d = self.dateIndex[0].to_datetime()
        tm.assert_isinstance(self.dateIndex.asof(d), Timestamp)

    def test_nanosecond_index_access(self):
        tm._skip_if_not_numpy17_friendly()

        s = Series([Timestamp('20130101')]).values.view('i8')[0]
        r = DatetimeIndex([s + 50 + i for i in range(100)])
        x = Series(np.random.randn(100), index=r)

        first_value = x.asof(x.index[0])

        # this does not yet work, as parsing strings is done via dateutil
        #self.assertEqual(first_value, x['2013-01-01 00:00:00.000000050+0000'])

        self.assertEqual(first_value, x[Timestamp(np.datetime64('2013-01-01 00:00:00.000000050+0000', 'ns'))])

    def test_argsort(self):
        result = self.strIndex.argsort()
        expected = np.array(self.strIndex).argsort()
        self.assert_numpy_array_equal(result, expected)

    def test_comparators(self):
        index = self.dateIndex
        element = index[len(index) // 2]
        element = _to_m8(element)

        arr = np.array(index)

        def _check(op):
            arr_result = op(arr, element)
            index_result = op(index, element)

            tm.assert_isinstance(index_result, np.ndarray)
            self.assertNotIsInstance(index_result, Index)
            self.assert_numpy_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]

        for i, val in enumerate(subIndex):
            self.assertEqual(subIndex.get_loc(val), i)

        subIndex = self.strIndex[list(boolIdx)]
        for i, val in enumerate(subIndex):
            self.assertEqual(subIndex.get_loc(val), i)

    def test_fancy(self):
        sl = self.strIndex[[1, 2, 3]]
        for i in sl:
            self.assertEqual(i, sl[sl.get_loc(i)])

    def test_empty_fancy(self):
        empty_farr = np.array([], dtype=np.float_)
        empty_iarr = np.array([], dtype=np.int_)
        empty_barr = np.array([], dtype=np.bool_)

        # pd.DatetimeIndex is excluded, because it overrides getitem and should
        # be tested separately.
        for idx in [self.strIndex, self.intIndex, self.floatIndex]:
            empty_idx = idx.__class__([])
            values = idx.values

            self.assertTrue(idx[[]].identical(empty_idx))
            self.assertTrue(idx[empty_iarr].identical(empty_idx))
            self.assertTrue(idx[empty_barr].identical(empty_idx))

            # np.ndarray only accepts ndarray of int & bool dtypes, so should
            # Index.
            self.assertRaises(IndexError, idx.__getitem__, empty_farr)

    def test_getitem(self):
        arr = np.array(self.dateIndex)
        exp = self.dateIndex[5]
        exp = _to_m8(exp)

        self.assertEqual(exp, arr[5])

    def test_shift(self):
        shifted = self.dateIndex.shift(0, timedelta(1))
        self.assertIs(shifted, self.dateIndex)

        shifted = self.dateIndex.shift(5, timedelta(1))
        self.assert_numpy_array_equal(shifted, self.dateIndex + timedelta(5))

        shifted = self.dateIndex.shift(1, 'B')
        self.assert_numpy_array_equal(shifted, self.dateIndex + offsets.BDay())

        shifted.name = 'shifted'
        self.assertEqual(shifted.name, shifted.shift(1, 'D').name)

    def test_intersection(self):
        first = self.strIndex[:20]
        second = self.strIndex[:10]
        intersect = first.intersection(second)

        self.assertTrue(tm.equalContents(intersect, second))

        # Corner cases
        inter = first.intersection(first)
        self.assertIs(inter, first)

        # non-iterable input
        assertRaisesRegexp(TypeError, "iterable", first.intersection, 0.5)

        idx1 = Index([1, 2, 3, 4, 5], name='idx')
        # if target has the same name, it is preserved
        idx2 = Index([3, 4, 5, 6, 7], name='idx')
        expected2 = Index([3, 4, 5], name='idx')
        result2 = idx1.intersection(idx2)
        self.assertTrue(result2.equals(expected2))
        self.assertEqual(result2.name, expected2.name)

        # if target name is different, it will be reset
        idx3 = Index([3, 4, 5, 6, 7], name='other')
        expected3 = Index([3, 4, 5], name=None)
        result3 = idx1.intersection(idx3)
        self.assertTrue(result3.equals(expected3))
        self.assertEqual(result3.name, expected3.name)

        # non monotonic
        idx1 = Index([5, 3, 2, 4, 1], name='idx')
        idx2 = Index([4, 7, 6, 5, 3], name='idx')
        result2 = idx1.intersection(idx2)
        self.assertTrue(tm.equalContents(result2, expected2))
        self.assertEqual(result2.name, expected2.name)

        idx3 = Index([4, 7, 6, 5, 3], name='other')
        result3 = idx1.intersection(idx3)
        self.assertTrue(tm.equalContents(result3, expected3))
        self.assertEqual(result3.name, expected3.name)

    def test_union(self):
        first = self.strIndex[5:20]
        second = self.strIndex[:10]
        everything = self.strIndex[:20]
        union = first.union(second)
        self.assertTrue(tm.equalContents(union, everything))

        # Corner cases
        union = first.union(first)
        self.assertIs(union, first)

        union = first.union([])
        self.assertIs(union, first)

        union = Index([]).union(first)
        self.assertIs(union, first)

        # non-iterable input
        assertRaisesRegexp(TypeError, "iterable", first.union, 0.5)

        # preserve names
        first.name = 'A'
        second.name = 'A'
        union = first.union(second)
        self.assertEqual(union.name, 'A')

        second.name = 'B'
        union = first.union(second)
        self.assertIsNone(union.name)

    def test_add(self):
        firstCat = self.strIndex + self.dateIndex
        secondCat = self.strIndex + self.strIndex

        if self.dateIndex.dtype == np.object_:
            appended = np.append(self.strIndex, self.dateIndex)
        else:
            appended = np.append(self.strIndex, self.dateIndex.astype('O'))

        self.assertTrue(tm.equalContents(firstCat, appended))
        self.assertTrue(tm.equalContents(secondCat, self.strIndex))
        tm.assert_contains_all(self.strIndex, firstCat)
        tm.assert_contains_all(self.strIndex, secondCat)
        tm.assert_contains_all(self.dateIndex, firstCat)

    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.assertTrue(result.equals(index))

        # empty
        result = index.append([])
        self.assertTrue(result.equals(index))

    def test_append_empty_preserve_name(self):
        left = Index([], name='foo')
        right = Index([1, 2, 3], name='foo')

        result = left.append(right)
        self.assertEqual(result.name, 'foo')

        left = Index([], name='foo')
        right = Index([1, 2, 3], name='bar')

        result = left.append(right)
        self.assertIsNone(result.name)

    def test_add_string(self):
        # from bug report
        index = Index(['a', 'b', 'c'])
        index2 = index + 'foo'

        self.assertNotIn('a', index2)
        self.assertIn('afoo', index2)

    def test_iadd_string(self):
        index = pd.Index(['a', 'b', 'c'])
        # doesn't fail test unless there is a check before `+=`
        self.assertIn('a', index)

        index += '_x'
        self.assertIn('a_x', index)

    def test_diff(self):
        first = self.strIndex[5:20]
        second = self.strIndex[:10]
        answer = self.strIndex[10:20]
        first.name = 'name'
        # different names
        result = first - second

        self.assertTrue(tm.equalContents(result, answer))
        self.assertEqual(result.name, None)

        # same names
        second.name = 'name'
        result = first - second
        self.assertEqual(result.name, 'name')

        # with empty
        result = first.diff([])
        self.assertTrue(tm.equalContents(result, first))
        self.assertEqual(result.name, first.name)

        # with everythin
        result = first.diff(first)
        self.assertEqual(len(result), 0)
        self.assertEqual(result.name, first.name)

        # non-iterable input
        assertRaisesRegexp(TypeError, "iterable", first.diff, 0.5)

    def test_symmetric_diff(self):
        # smoke
        idx1 = Index([1, 2, 3, 4], name='idx1')
        idx2 = Index([2, 3, 4, 5])
        result = idx1.sym_diff(idx2)
        expected = Index([1, 5])
        self.assertTrue(tm.equalContents(result, expected))
        self.assertIsNone(result.name)

        # __xor__ syntax
        expected = idx1 ^ idx2
        self.assertTrue(tm.equalContents(result, expected))
        self.assertIsNone(result.name)

        # multiIndex
        idx1 = MultiIndex.from_tuples(self.tuples)
        idx2 = MultiIndex.from_tuples([('foo', 1), ('bar', 3)])
        result = idx1.sym_diff(idx2)
        expected = MultiIndex.from_tuples([('bar', 2), ('baz', 3), ('bar', 3)])
        self.assertTrue(tm.equalContents(result, expected))

        # nans:
        # GH #6444, sorting of nans. Make sure the number of nans is right
        # and the correct non-nan values are there. punt on sorting.
        idx1 = Index([1, 2, 3, np.nan])
        idx2 = Index([0, 1, np.nan])
        result = idx1.sym_diff(idx2)
        # expected = Index([0.0, np.nan, 2.0, 3.0, np.nan])
        nans = pd.isnull(result)
        self.assertEqual(nans.sum(), 2)
        self.assertEqual((~nans).sum(), 3)
        [self.assertIn(x, result) for x in [0.0, 2.0, 3.0]]

        # other not an Index:
        idx1 = Index([1, 2, 3, 4], name='idx1')
        idx2 = np.array([2, 3, 4, 5])
        expected = Index([1, 5])
        result = idx1.sym_diff(idx2)
        self.assertTrue(tm.equalContents(result, expected))
        self.assertEqual(result.name, 'idx1')

        result = idx1.sym_diff(idx2, result_name='new_name')
        self.assertTrue(tm.equalContents(result, expected))
        self.assertEqual(result.name, 'new_name')

        # other isn't iterable
        with tm.assertRaises(TypeError):
            idx1 - 1

    def test_pickle(self):
        def testit(index):
            pickled = pickle.dumps(index)
            unpickled = pickle.loads(pickled)

            tm.assert_isinstance(unpickled, Index)
            self.assert_numpy_array_equal(unpickled, index)
            self.assertEqual(unpickled.name, index.name)

            # tm.assert_dict_equal(unpickled.indexMap, index.indexMap)

        testit(self.strIndex)
        self.strIndex.name = 'foo'
        testit(self.strIndex)

        testit(self.dateIndex)

    def test_is_numeric(self):
        self.assertFalse(self.dateIndex.is_numeric())
        self.assertFalse(self.strIndex.is_numeric())
        self.assertTrue(self.intIndex.is_numeric())
        self.assertTrue(self.floatIndex.is_numeric())

    def test_is_all_dates(self):
        self.assertTrue(self.dateIndex.is_all_dates)
        self.assertFalse(self.strIndex.is_all_dates)
        self.assertFalse(self.intIndex.is_all_dates)

    def test_summary(self):
        self._check_method_works(Index.summary)
        # GH3869
        ind = Index(['{other}%s', "~:{range}:0"], name='A')
        result = ind.summary()
        # shouldn't be formatted accidentally.
        self.assertIn('~:{range}:0', result)
        self.assertIn('{other}%s', result)

    def test_format(self):
        self._check_method_works(Index.format)

        index = Index([datetime.now()])
        formatted = index.format()
        expected = [str(index[0])]
        self.assertEqual(formatted, expected)

        # 2845
        index = Index([1, 2.0+3.0j, np.nan])
        formatted = index.format()
        expected = [str(index[0]), str(index[1]), u('NaN')]
        self.assertEqual(formatted, expected)

        # is this really allowed?
        index = Index([1, 2.0+3.0j, None])
        formatted = index.format()
        expected = [str(index[0]), str(index[1]), u('NaN')]
        self.assertEqual(formatted, expected)

        self.strIndex[:0].format()

    def test_format_with_name_time_info(self):
        # bug I fixed 12/20/2011
        inc = timedelta(hours=4)
        dates = Index([dt + inc for dt in self.dateIndex], name='something')

        formatted = dates.format(name=True)
        self.assertEqual(formatted[0], 'something')

    def test_format_datetime_with_time(self):
        t = Index([datetime(2012, 2, 7), datetime(2012, 2, 7, 23)])

        result = t.format()
        expected = ['2012-02-07 00:00:00', '2012-02-07 23:00:00']
        self.assertEqual(len(result), 2)
        self.assertEqual(result, expected)

    def test_format_none(self):
        values = ['a', 'b', 'c', None]

        idx = Index(values)
        idx.format()
        self.assertIsNone(idx[3])

    def test_take(self):
        indexer = [4, 3, 0, 2]
        result = self.dateIndex.take(indexer)
        expected = self.dateIndex[indexer]
        self.assertTrue(result.equals(expected))

    def _check_method_works(self, method):
        method(self.empty)
        method(self.dateIndex)
        method(self.unicodeIndex)
        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.assertEqual(idx.slice_locs(start=2), (2, n))
        self.assertEqual(idx.slice_locs(start=3), (3, n))
        self.assertEqual(idx.slice_locs(3, 8), (3, 6))
        self.assertEqual(idx.slice_locs(5, 10), (3, n))
        self.assertEqual(idx.slice_locs(end=8), (0, 6))
        self.assertEqual(idx.slice_locs(end=9), (0, 7))

        idx2 = idx[::-1]
        self.assertRaises(KeyError, idx2.slice_locs, 8, 2)
        self.assertRaises(KeyError, idx2.slice_locs, 7, 3)

    def test_slice_locs_dup(self):
        idx = Index(['a', 'a', 'b', 'c', 'd', 'd'])
        rs = idx.slice_locs('a', 'd')
        self.assertEqual(rs, (0, 6))

        rs = idx.slice_locs(end='d')
        self.assertEqual(rs, (0, 6))

        rs = idx.slice_locs('a', 'c')
        self.assertEqual(rs, (0, 4))

        rs = idx.slice_locs('b', 'd')
        self.assertEqual(rs, (2, 6))

    def test_drop(self):
        n = len(self.strIndex)

        dropped = self.strIndex.drop(self.strIndex[lrange(5, 10)])
        expected = self.strIndex[lrange(5) + lrange(10, n)]
        self.assertTrue(dropped.equals(expected))

        self.assertRaises(ValueError, self.strIndex.drop, ['foo', 'bar'])

        dropped = self.strIndex.drop(self.strIndex[0])
        expected = self.strIndex[1:]
        self.assertTrue(dropped.equals(expected))

        ser = Index([1, 2, 3])
        dropped = ser.drop(1)
        expected = Index([2, 3])
        self.assertTrue(dropped.equals(expected))

    def test_tuple_union_bug(self):
        import pandas
        import numpy as np

        aidx1 = np.array([(1, 'A'), (2, 'A'), (1, 'B'), (2, 'B')],
                         dtype=[('num', int), ('let', 'a1')])
        aidx2 = np.array([(1, 'A'), (2, 'A'), (1, 'B'), (2, 'B'), (1, 'C'), (2,
                         'C')], dtype=[('num', int), ('let', 'a1')])

        idx1 = pandas.Index(aidx1)
        idx2 = pandas.Index(aidx2)

        # 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.assertEqual(int_idx.ndim, 1)
        self.assertTrue(int_idx.equals(expected))

        # union broken
        union_idx = idx1.union(idx2)
        expected = idx2
        self.assertEqual(union_idx.ndim, 1)
        self.assertTrue(union_idx.equals(expected))

    def test_is_monotonic_incomparable(self):
        index = Index([5, datetime.now(), 7])
        self.assertFalse(index.is_monotonic)

    def test_get_set_value(self):
        values = np.random.randn(100)
        date = self.dateIndex[67]

        assert_almost_equal(self.dateIndex.get_value(values, date),
                            values[67])

        self.dateIndex.set_value(values, date, 10)
        self.assertEqual(values[67], 10)

    def test_isin(self):
        values = ['foo', 'bar']

        idx = Index(['qux', 'baz', 'foo', 'bar'])
        result = idx.isin(values)
        expected = np.array([False, False, True, True])
        self.assert_numpy_array_equal(result, expected)

        # empty, return dtype bool
        idx = Index([])
        result = idx.isin(values)
        self.assertEqual(len(result), 0)
        self.assertEqual(result.dtype, np.bool_)

    def test_boolean_cmp(self):
        values = [1, 2, 3, 4]

        idx = Index(values)
        res = (idx == values)

        self.assertTrue(res.all())
        self.assertEqual(res.dtype, 'bool')
        self.assertNotIsInstance(res, Index)

    def test_get_level_values(self):
        result = self.strIndex.get_level_values(0)
        self.assertTrue(result.equals(self.strIndex))

    def test_slice_keep_name(self):
        idx = Index(['a', 'b'], name='asdf')
        self.assertEqual(idx.name, idx[1:].name)

    def test_join_self(self):
        # instance attributes of the form self.<name>Index
        indices = 'unicode', 'str', 'date', 'int', 'float'
        kinds = 'outer', 'inner', 'left', 'right'
        for index_kind in indices:
            res = getattr(self, '{0}Index'.format(index_kind))

            for kind in kinds:
                joined = res.join(res, how=kind)
                self.assertIs(res, joined)

    def test_indexing_doesnt_change_class(self):
        idx = Index([1, 2, 3, 'a', 'b', 'c'])

        self.assertTrue(idx[1:3].identical(
            pd.Index([2, 3], dtype=np.object_)))
        self.assertTrue(idx[[0,1]].identical(
            pd.Index([1, 2], dtype=np.object_)))

    def test_outer_join_sort(self):
        left_idx = Index(np.random.permutation(15))
        right_idx = tm.makeDateIndex(10)

        with tm.assert_produces_warning(RuntimeWarning):
            joined = left_idx.join(right_idx, how='outer')
        # right_idx in this case because DatetimeIndex has join precedence over
        # Int64Index
        expected = right_idx.astype(object).union(left_idx.astype(object))
        tm.assert_index_equal(joined, expected)

    def test_nan_first_take_datetime(self):
        idx = Index([pd.NaT, Timestamp('20130101'), Timestamp('20130102')])
        res = idx.take([-1, 0, 1])
        exp = Index([idx[-1], idx[0], idx[1]])
        tm.assert_index_equal(res, exp)


class TestFloat64Index(tm.TestCase):
    _multiprocess_can_split_ = True

    def setUp(self):
        self.mixed = Float64Index([1.5, 2, 3, 4, 5])
        self.float = Float64Index(np.arange(5) * 2.5)

    def test_hash_error(self):
        with tm.assertRaisesRegexp(TypeError,
                                   "unhashable type: %r" %
                                   type(self.float).__name__):
            hash(self.float)

    def test_repr_roundtrip(self):
        for ind in (self.mixed, self.float):
            tm.assert_index_equal(eval(repr(ind)), ind)

    def check_is_index(self, i):
        self.assertIsInstance(i, Index)
        self.assertNotIsInstance(i, Float64Index)

    def check_coerce(self, a, b, is_float_index=True):
        self.assertTrue(a.equals(b))
        if is_float_index:
            self.assertIsInstance(b, Float64Index)
        else:
            self.check_is_index(b)

    def test_constructor(self):

        # explicit construction
        index = Float64Index([1,2,3,4,5])
        self.assertIsInstance(index, Float64Index)
        self.assertTrue((index.values == np.array([1,2,3,4,5],dtype='float64')).all())
        index = Float64Index(np.array([1,2,3,4,5]))
        self.assertIsInstance(index, Float64Index)
        index = Float64Index([1.,2,3,4,5])
        self.assertIsInstance(index, Float64Index)
        index = Float64Index(np.array([1.,2,3,4,5]))
        self.assertIsInstance(index, Float64Index)
        self.assertEqual(index.dtype, float)

        index = Float64Index(np.array([1.,2,3,4,5]),dtype=np.float32)
        self.assertIsInstance(index, Float64Index)
        self.assertEqual(index.dtype, np.float64)

        index = Float64Index(np.array([1,2,3,4,5]),dtype=np.float32)
        self.assertIsInstance(index, Float64Index)
        self.assertEqual(index.dtype, np.float64)

        # nan handling
        result = Float64Index([np.nan, np.nan])
        self.assertTrue(pd.isnull(result.values).all())
        result = Float64Index(np.array([np.nan]))
        self.assertTrue(pd.isnull(result.values).all())
        result = Index(np.array([np.nan]))
        self.assertTrue(pd.isnull(result.values).all())

    def test_constructor_invalid(self):

        # invalid
        self.assertRaises(TypeError, Float64Index, 0.)
        self.assertRaises(TypeError, Float64Index, ['a','b',0.])
        self.assertRaises(TypeError, Float64Index, [Timestamp('20130101')])

    def test_constructor_coerce(self):

        self.check_coerce(self.mixed,Index([1.5, 2, 3, 4, 5]))
        self.check_coerce(self.float,Index(np.arange(5) * 2.5))
        self.check_coerce(self.float,Index(np.array(np.arange(5) * 2.5, dtype=object)))

    def test_constructor_explicit(self):

        # these don't auto convert
        self.check_coerce(self.float,Index((np.arange(5) * 2.5), dtype=object),
                          is_float_index=False)
        self.check_coerce(self.mixed,Index([1.5, 2, 3, 4, 5],dtype=object),
                          is_float_index=False)

    def test_astype(self):

        result = self.float.astype(object)
        self.assertTrue(result.equals(self.float))
        self.assertTrue(self.float.equals(result))
        self.check_is_index(result)

        i = self.mixed.copy()
        i.name = 'foo'
        result = i.astype(object)
        self.assertTrue(result.equals(i))
        self.assertTrue(i.equals(result))
        self.check_is_index(result)

    def test_equals(self):

        i = Float64Index([1.0,2.0])
        self.assertTrue(i.equals(i))
        self.assertTrue(i.identical(i))

        i2 = Float64Index([1.0,2.0])
        self.assertTrue(i.equals(i2))

        i = Float64Index([1.0,np.nan])
        self.assertTrue(i.equals(i))
        self.assertTrue(i.identical(i))

        i2 = Float64Index([1.0,np.nan])
        self.assertTrue(i.equals(i2))

    def test_contains_nans(self):
        i = Float64Index([1.0, 2.0, np.nan])
        self.assertTrue(np.nan in i)

    def test_contains_not_nans(self):
        i = Float64Index([1.0, 2.0, np.nan])
        self.assertTrue(1.0 in i)

    def test_doesnt_contain_all_the_things(self):
        i = Float64Index([np.nan])
        self.assertFalse(i.isin([0]).item())
        self.assertFalse(i.isin([1]).item())
        self.assertTrue(i.isin([np.nan]).item())

    def test_nan_multiple_containment(self):
        i = Float64Index([1.0, np.nan])
        np.testing.assert_array_equal(i.isin([1.0]), np.array([True, False]))
        np.testing.assert_array_equal(i.isin([2.0, np.pi]),
                                      np.array([False, False]))
        np.testing.assert_array_equal(i.isin([np.nan]),
                                      np.array([False, True]))
        np.testing.assert_array_equal(i.isin([1.0, np.nan]),
                                      np.array([True, True]))
        i = Float64Index([1.0, 2.0])
        np.testing.assert_array_equal(i.isin([np.nan]),
                                      np.array([False, False]))

    def test_astype_from_object(self):
        index = Index([1.0, np.nan, 0.2], dtype='object')
        result = index.astype(float)
        expected = Float64Index([1.0, np.nan, 0.2])
        tm.assert_equal(result.dtype, expected.dtype)
        tm.assert_index_equal(result, expected)


class TestInt64Index(tm.TestCase):
    _multiprocess_can_split_ = True

    def setUp(self):
        self.index = Int64Index(np.arange(0, 20, 2))

    def test_too_many_names(self):
        def testit():
            self.index.names = ["roger", "harold"]
        assertRaisesRegexp(ValueError, "^Length", testit)

    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_numpy_array_equal(index, expected)

        # from iterable
        index = Int64Index(iter([-5, 0, 1, 2]))
        self.assert_numpy_array_equal(index, expected)

        # scalar raise Exception
        self.assertRaises(TypeError, Int64Index, 5)

        # copy
        arr = self.index.values
        new_index = Int64Index(arr, copy=True)
        self.assert_numpy_array_equal(new_index, self.index)
        val = arr[0] + 3000
        # this should not change index
        arr[0] = val
        self.assertNotEqual(new_index[0], val)

    def test_constructor_corner(self):
        arr = np.array([1, 2, 3, 4], dtype=object)
        index = Int64Index(arr)
        self.assertEqual(index.values.dtype, np.int64)
        self.assertTrue(index.equals(arr))

        # preventing casting
        arr = np.array([1, '2', 3, '4'], dtype=object)
        with tm.assertRaisesRegexp(TypeError, 'casting'):
            Int64Index(arr)

        arr_with_floats = [0, 2, 3, 4, 5, 1.25, 3, -1]
        with tm.assertRaisesRegexp(TypeError, 'casting'):
            Int64Index(arr_with_floats)

    def test_hash_error(self):
        with tm.assertRaisesRegexp(TypeError,
                                   "unhashable type: %r" %
                                   type(self.index).__name__):
            hash(self.index)

    def test_copy(self):
        i = Int64Index([], name='Foo')
        i_copy = i.copy()
        self.assertEqual(i_copy.name, 'Foo')

    def test_view(self):
        i = Int64Index([], name='Foo')
        i_view = i.view()
        self.assertEqual(i_view.name, 'Foo')

    def test_coerce_list(self):
        # coerce things
        arr = Index([1, 2, 3, 4])
        tm.assert_isinstance(arr, Int64Index)

        # but not if explicit dtype passed
        arr = Index([1, 2, 3, 4], dtype=object)
        tm.assert_isinstance(arr, Index)

    def test_dtype(self):
        self.assertEqual(self.index.dtype, np.int64)

    def test_is_monotonic(self):
        self.assertTrue(self.index.is_monotonic)

        index = Int64Index([4, 3, 2, 1])
        self.assertFalse(index.is_monotonic)

    def test_equals(self):
        same_values = Index(self.index, dtype=object)
        self.assertTrue(self.index.equals(same_values))
        self.assertTrue(same_values.equals(self.index))

    def test_identical(self):
        i = Index(self.index.copy())
        self.assertTrue(i.identical(self.index))

        same_values_different_type = Index(i, dtype=object)
        self.assertFalse(i.identical(same_values_different_type))

        i = self.index.copy(dtype=object)
        i = i.rename('foo')
        same_values = Index(i, dtype=object)
        self.assertTrue(same_values.identical(self.index.copy(dtype=object)))

        self.assertFalse(i.identical(self.index))
        self.assertTrue(Index(same_values, name='foo', dtype=object
                              ).identical(i))

        self.assertFalse(
            self.index.copy(dtype=object)
            .identical(self.index.copy(dtype='int64')))

    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_numpy_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_numpy_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_numpy_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.assertTrue(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=np.int64)
        eridx = np.array([-1, 3, 4, -1, 5, -1, 0, -1, -1, 1, -1, -1, -1, 2],
                         dtype=np.int64)

        tm.assert_isinstance(res, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assert_numpy_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.assertTrue(res.equals(noidx_res))

        eridx = np.array([-1, 0, 1, -1, 2, -1, 3, -1, -1, 4, -1, -1, -1, 5],
                         dtype=np.int64)
        tm.assert_isinstance(res, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assert_numpy_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])

        tm.assert_isinstance(res, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assert_numpy_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.assertTrue(res.equals(res2))

        eridx = np.array([1, 4])
        tm.assert_isinstance(res, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assert_numpy_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=np.int64)

        tm.assert_isinstance(res, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assertIsNone(lidx)
        self.assert_numpy_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=np.int64)
        tm.assert_isinstance(res, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assertIsNone(lidx)
        self.assert_numpy_array_equal(ridx, eridx)

        # non-unique
        """
        idx = Index([1,1,2,5])
        idx2 = Index([1,2,5,7,9])
        res, lidx, ridx = idx2.join(idx, how='left', return_indexers=True)
        eres = idx2
        eridx = np.array([0, 2, 3, -1, -1])
        elidx = np.array([0, 1, 2, 3, 4])
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assert_numpy_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=np.int64)

        tm.assert_isinstance(other, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assertIsNone(ridx)

        # 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=np.int64)
        tm.assert_isinstance(other, Int64Index)
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assertIsNone(ridx)

        # non-unique
        """
        idx = Index([1,1,2,5])
        idx2 = Index([1,2,5,7,9])
        res, lidx, ridx = idx.join(idx2, how='right', return_indexers=True)
        eres = idx2
        elidx = np.array([0, 2, 3, -1, -1])
        eridx = np.array([0, 1, 2, 3, 4])
        self.assertTrue(res.equals(eres))
        self.assert_numpy_array_equal(lidx, elidx)
        self.assert_numpy_array_equal(ridx, eridx)

        idx = Index([1,1,2,5])
        idx2 = Index([1,2,5,9,7])
        res = idx.join(idx2, how='right', return_indexers=False)
        eres = idx2
        self.assert(res.equals(eres))
        """

    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.assertTrue(outer.equals(outer2))
        self.assertTrue(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.assertTrue(inner.equals(inner2))
        self.assertTrue(inner.equals(expected))

        left = self.index.join(other, how='left')
        self.assertTrue(left.equals(self.index))

        left2 = other.join(self.index, how='left')
        self.assertTrue(left2.equals(other))

        right = self.index.join(other, how='right')
        self.assertTrue(right.equals(other))

        right2 = other.join(self.index, how='right')
        self.assertTrue(right2.equals(self.index))

    def test_join_non_unique(self):
        left = Index([4, 4, 3, 3])

        joined, lidx, ridx = left.join(left, return_indexers=True)

        exp_joined = Index([3, 3, 3, 3, 4, 4, 4, 4])
        self.assertTrue(joined.equals(exp_joined))

        exp_lidx = np.array([2, 2, 3, 3, 0, 0, 1, 1], dtype=np.int64)
        self.assert_numpy_array_equal(lidx, exp_lidx)

        exp_ridx = np.array([2, 3, 2, 3, 0, 1, 0, 1], dtype=np.int64)
        self.assert_numpy_array_equal(ridx, exp_ridx)

    def test_join_self(self):
        kinds = 'outer', 'inner', 'left', 'right'
        for kind in kinds:
            joined = self.index.join(self.index, how=kind)
            self.assertIs(self.index, joined)

    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_numpy_array_equal(result, expected)

        result = other.intersection(self.index)
        expected = np.sort(np.asarray(np.intersect1d(self.index.values,
                                                     other.values)))
        self.assert_numpy_array_equal(result, expected)

    def test_intersect_str_dates(self):
        dt_dates = [datetime(2012, 2, 9), datetime(2012, 2, 22)]

        i1 = Index(dt_dates, dtype=object)
        i2 = Index(['aa'], dtype=object)
        res = i2.intersection(i1)

        self.assertEqual(len(res), 0)

    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 range(4)], dtype=object)
        result = self.index.union(other)
        expected = np.concatenate((self.index, other))
        self.assert_numpy_array_equal(result, expected)

        result = other.union(self.index)
        expected = np.concatenate((other, self.index))
        self.assert_numpy_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.assertEqual(result.dtype, np.object_)

    def test_take_preserve_name(self):
        index = Int64Index([1, 2, 3, 4], name='foo')
        taken = index.take([3, 0,…