test_coercion.py

# -*- coding: utf-8 -*-

import pytest
import numpy as np

import pandas as pd
import pandas.util.testing as tm
import pandas.compat as compat


###############################################################
# Index / Series common tests which may trigger dtype coercions
###############################################################


class CoercionBase(object):

    klasses = ['index', 'series']
    dtypes = ['object', 'int64', 'float64', 'complex128', 'bool',
              'datetime64', 'datetime64tz', 'timedelta64', 'period']

    @property
    def method(self):
        raise NotImplementedError(self)

    def _assert(self, left, right, dtype):
        # explicitly check dtype to avoid any unexpected result
        if isinstance(left, pd.Series):
            tm.assert_series_equal(left, right)
        elif isinstance(left, pd.Index):
            tm.assert_index_equal(left, right)
        else:
            raise NotImplementedError
        self.assertEqual(left.dtype, dtype)
        self.assertEqual(right.dtype, dtype)

    def test_has_comprehensive_tests(self):
        for klass in self.klasses:
            for dtype in self.dtypes:
                method_name = 'test_{0}_{1}_{2}'.format(self.method,
                                                        klass, dtype)
                if not hasattr(self, method_name):
                    msg = 'test method is not defined: {0}, {1}'
                    raise AssertionError(msg.format(type(self), method_name))


class TestSetitemCoercion(CoercionBase, tm.TestCase):

    method = 'setitem'

    def _assert_setitem_series_conversion(self, original_series, loc_value,
                                          expected_series, expected_dtype):
        """ test series value's coercion triggered by assignment """
        temp = original_series.copy()
        temp[1] = loc_value
        tm.assert_series_equal(temp, expected_series)
        # check dtype explicitly for sure
        self.assertEqual(temp.dtype, expected_dtype)

        # .loc works different rule, temporary disable
        # temp = original_series.copy()
        # temp.loc[1] = loc_value
        # tm.assert_series_equal(temp, expected_series)

    def test_setitem_series_object(self):
        obj = pd.Series(list('abcd'))
        self.assertEqual(obj.dtype, np.object)

        # object + int -> object
        exp = pd.Series(['a', 1, 'c', 'd'])
        self._assert_setitem_series_conversion(obj, 1, exp, np.object)

        # object + float -> object
        exp = pd.Series(['a', 1.1, 'c', 'd'])
        self._assert_setitem_series_conversion(obj, 1.1, exp, np.object)

        # object + complex -> object
        exp = pd.Series(['a', 1 + 1j, 'c', 'd'])
        self._assert_setitem_series_conversion(obj, 1 + 1j, exp, np.object)

        # object + bool -> object
        exp = pd.Series(['a', True, 'c', 'd'])
        self._assert_setitem_series_conversion(obj, True, exp, np.object)

    def test_setitem_series_int64(self):
        obj = pd.Series([1, 2, 3, 4])
        self.assertEqual(obj.dtype, np.int64)

        # int + int -> int
        exp = pd.Series([1, 1, 3, 4])
        self._assert_setitem_series_conversion(obj, 1, exp, np.int64)

        # int + float -> float
        # TODO_GH12747 The result must be float
        # tm.assert_series_equal(temp, pd.Series([1, 1.1, 3, 4]))
        # self.assertEqual(temp.dtype, np.float64)
        exp = pd.Series([1, 1, 3, 4])
        self._assert_setitem_series_conversion(obj, 1.1, exp, np.int64)

        # int + complex -> complex
        exp = pd.Series([1, 1 + 1j, 3, 4])
        self._assert_setitem_series_conversion(obj, 1 + 1j, exp, np.complex128)

        # int + bool -> int
        exp = pd.Series([1, 1, 3, 4])
        self._assert_setitem_series_conversion(obj, True, exp, np.int64)

    def test_setitem_series_float64(self):
        obj = pd.Series([1.1, 2.2, 3.3, 4.4])
        self.assertEqual(obj.dtype, np.float64)

        # float + int -> float
        exp = pd.Series([1.1, 1.0, 3.3, 4.4])
        self._assert_setitem_series_conversion(obj, 1, exp, np.float64)

        # float + float -> float
        exp = pd.Series([1.1, 1.1, 3.3, 4.4])
        self._assert_setitem_series_conversion(obj, 1.1, exp, np.float64)

        # float + complex -> complex
        exp = pd.Series([1.1, 1 + 1j, 3.3, 4.4])
        self._assert_setitem_series_conversion(obj, 1 + 1j, exp,
                                               np.complex128)

        # float + bool -> float
        exp = pd.Series([1.1, 1.0, 3.3, 4.4])
        self._assert_setitem_series_conversion(obj, True, exp, np.float64)

    def test_setitem_series_complex128(self):
        obj = pd.Series([1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j])
        self.assertEqual(obj.dtype, np.complex128)

        # complex + int -> complex
        exp = pd.Series([1 + 1j, 1, 3 + 3j, 4 + 4j])
        self._assert_setitem_series_conversion(obj, True, exp, np.complex128)

        # complex + float -> complex
        exp = pd.Series([1 + 1j, 1.1, 3 + 3j, 4 + 4j])
        self._assert_setitem_series_conversion(obj, 1.1, exp, np.complex128)

        # complex + complex -> complex
        exp = pd.Series([1 + 1j, 1 + 1j, 3 + 3j, 4 + 4j])
        self._assert_setitem_series_conversion(obj, 1 + 1j, exp, np.complex128)

        # complex + bool -> complex
        exp = pd.Series([1 + 1j, 1, 3 + 3j, 4 + 4j])
        self._assert_setitem_series_conversion(obj, True, exp, np.complex128)

    def test_setitem_series_bool(self):
        obj = pd.Series([True, False, True, False])
        self.assertEqual(obj.dtype, np.bool)

        # bool + int -> int
        # TODO_GH12747 The result must be int
        # tm.assert_series_equal(temp, pd.Series([1, 1, 1, 0]))
        # self.assertEqual(temp.dtype, np.int64)
        exp = pd.Series([True, True, True, False])
        self._assert_setitem_series_conversion(obj, 1, exp, np.bool)

        # TODO_GH12747 The result must be int
        # assigning int greater than bool
        # tm.assert_series_equal(temp, pd.Series([1, 3, 1, 0]))
        # self.assertEqual(temp.dtype, np.int64)
        exp = pd.Series([True, True, True, False])
        self._assert_setitem_series_conversion(obj, 3, exp, np.bool)

        # bool + float -> float
        # TODO_GH12747 The result must be float
        # tm.assert_series_equal(temp, pd.Series([1., 1.1, 1., 0.]))
        # self.assertEqual(temp.dtype, np.float64)
        exp = pd.Series([True, True, True, False])
        self._assert_setitem_series_conversion(obj, 1.1, exp, np.bool)

        # bool + complex -> complex (buggy, results in bool)
        # TODO_GH12747 The result must be complex
        # tm.assert_series_equal(temp, pd.Series([1, 1 + 1j, 1, 0]))
        # self.assertEqual(temp.dtype, np.complex128)
        exp = pd.Series([True, True, True, False])
        self._assert_setitem_series_conversion(obj, 1 + 1j, exp, np.bool)

        # bool + bool -> bool
        exp = pd.Series([True, True, True, False])
        self._assert_setitem_series_conversion(obj, True, exp, np.bool)

    def test_setitem_series_datetime64(self):
        obj = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2011-01-02'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self.assertEqual(obj.dtype, 'datetime64[ns]')

        # datetime64 + datetime64 -> datetime64
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2012-01-01'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self._assert_setitem_series_conversion(obj, pd.Timestamp('2012-01-01'),
                                               exp, 'datetime64[ns]')

        # datetime64 + int -> object
        # ToDo: The result must be object
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp(1),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self._assert_setitem_series_conversion(obj, 1, exp, 'datetime64[ns]')

        # ToDo: add more tests once the above issue has been fixed

    def test_setitem_series_datetime64tz(self):
        tz = 'US/Eastern'
        obj = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp('2011-01-02', tz=tz),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        self.assertEqual(obj.dtype, 'datetime64[ns, US/Eastern]')

        # datetime64tz + datetime64tz -> datetime64tz
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp('2012-01-01', tz=tz),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        value = pd.Timestamp('2012-01-01', tz=tz)
        self._assert_setitem_series_conversion(obj, value, exp,
                                               'datetime64[ns, US/Eastern]')

        # datetime64 + int -> object
        # ToDo: The result must be object
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp(1, tz=tz),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        self._assert_setitem_series_conversion(obj, 1, exp,
                                               'datetime64[ns, US/Eastern]')

        # ToDo: add more tests once the above issue has been fixed

    def test_setitem_series_timedelta64(self):
        pass

    def test_setitem_series_period(self):
        pass

    def _assert_setitem_index_conversion(self, original_series, loc_key,
                                         expected_index, expected_dtype):
        """ test index's coercion triggered by assign key """
        temp = original_series.copy()
        temp[loc_key] = 5
        exp = pd.Series([1, 2, 3, 4, 5], index=expected_index)
        tm.assert_series_equal(temp, exp)
        # check dtype explicitly for sure
        self.assertEqual(temp.index.dtype, expected_dtype)

        temp = original_series.copy()
        temp.loc[loc_key] = 5
        exp = pd.Series([1, 2, 3, 4, 5], index=expected_index)
        tm.assert_series_equal(temp, exp)
        # check dtype explicitly for sure
        self.assertEqual(temp.index.dtype, expected_dtype)

    def test_setitem_index_object(self):
        obj = pd.Series([1, 2, 3, 4], index=list('abcd'))
        self.assertEqual(obj.index.dtype, np.object)

        # object + object -> object
        exp_index = pd.Index(list('abcdx'))
        self._assert_setitem_index_conversion(obj, 'x', exp_index, np.object)

        # object + int -> IndexError, regarded as location
        temp = obj.copy()
        with pytest.raises(IndexError):
            temp[5] = 5

        # object + float -> object
        exp_index = pd.Index(['a', 'b', 'c', 'd', 1.1])
        self._assert_setitem_index_conversion(obj, 1.1, exp_index, np.object)

    def test_setitem_index_int64(self):
        # tests setitem with non-existing numeric key
        obj = pd.Series([1, 2, 3, 4])
        self.assertEqual(obj.index.dtype, np.int64)

        # int + int -> int
        exp_index = pd.Index([0, 1, 2, 3, 5])
        self._assert_setitem_index_conversion(obj, 5, exp_index, np.int64)

        # int + float -> float
        exp_index = pd.Index([0, 1, 2, 3, 1.1])
        self._assert_setitem_index_conversion(obj, 1.1, exp_index, np.float64)

        # int + object -> object
        exp_index = pd.Index([0, 1, 2, 3, 'x'])
        self._assert_setitem_index_conversion(obj, 'x', exp_index, np.object)

    def test_setitem_index_float64(self):
        # tests setitem with non-existing numeric key
        obj = pd.Series([1, 2, 3, 4], index=[1.1, 2.1, 3.1, 4.1])
        self.assertEqual(obj.index.dtype, np.float64)

        # float + int -> int
        temp = obj.copy()
        # TODO_GH12747 The result must be float
        with pytest.raises(IndexError):
            temp[5] = 5

        # float + float -> float
        exp_index = pd.Index([1.1, 2.1, 3.1, 4.1, 5.1])
        self._assert_setitem_index_conversion(obj, 5.1, exp_index, np.float64)

        # float + object -> object
        exp_index = pd.Index([1.1, 2.1, 3.1, 4.1, 'x'])
        self._assert_setitem_index_conversion(obj, 'x', exp_index, np.object)

    def test_setitem_index_complex128(self):
        pass

    def test_setitem_index_bool(self):
        pass

    def test_setitem_index_datetime64(self):
        pass

    def test_setitem_index_datetime64tz(self):
        pass

    def test_setitem_index_timedelta64(self):
        pass

    def test_setitem_index_period(self):
        pass


class TestInsertIndexCoercion(CoercionBase, tm.TestCase):

    klasses = ['index']
    method = 'insert'

    def _assert_insert_conversion(self, original, value,
                                  expected, expected_dtype):
        """ test coercion triggered by insert """
        target = original.copy()
        res = target.insert(1, value)
        tm.assert_index_equal(res, expected)
        self.assertEqual(res.dtype, expected_dtype)

    def test_insert_index_object(self):
        obj = pd.Index(list('abcd'))
        self.assertEqual(obj.dtype, np.object)

        # object + int -> object
        exp = pd.Index(['a', 1, 'b', 'c', 'd'])
        self._assert_insert_conversion(obj, 1, exp, np.object)

        # object + float -> object
        exp = pd.Index(['a', 1.1, 'b', 'c', 'd'])
        self._assert_insert_conversion(obj, 1.1, exp, np.object)

        # object + bool -> object
        res = obj.insert(1, False)
        tm.assert_index_equal(res, pd.Index(['a', False, 'b', 'c', 'd']))
        self.assertEqual(res.dtype, np.object)

        # object + object -> object
        exp = pd.Index(['a', 'x', 'b', 'c', 'd'])
        self._assert_insert_conversion(obj, 'x', exp, np.object)

    def test_insert_index_int64(self):
        obj = pd.Int64Index([1, 2, 3, 4])
        self.assertEqual(obj.dtype, np.int64)

        # int + int -> int
        exp = pd.Index([1, 1, 2, 3, 4])
        self._assert_insert_conversion(obj, 1, exp, np.int64)

        # int + float -> float
        exp = pd.Index([1, 1.1, 2, 3, 4])
        self._assert_insert_conversion(obj, 1.1, exp, np.float64)

        # int + bool -> int
        exp = pd.Index([1, 0, 2, 3, 4])
        self._assert_insert_conversion(obj, False, exp, np.int64)

        # int + object -> object
        exp = pd.Index([1, 'x', 2, 3, 4])
        self._assert_insert_conversion(obj, 'x', exp, np.object)

    def test_insert_index_float64(self):
        obj = pd.Float64Index([1., 2., 3., 4.])
        self.assertEqual(obj.dtype, np.float64)

        # float + int -> int
        exp = pd.Index([1., 1., 2., 3., 4.])
        self._assert_insert_conversion(obj, 1, exp, np.float64)

        # float + float -> float
        exp = pd.Index([1., 1.1, 2., 3., 4.])
        self._assert_insert_conversion(obj, 1.1, exp, np.float64)

        # float + bool -> float
        exp = pd.Index([1., 0., 2., 3., 4.])
        self._assert_insert_conversion(obj, False, exp, np.float64)

        # float + object -> object
        exp = pd.Index([1., 'x', 2., 3., 4.])
        self._assert_insert_conversion(obj, 'x', exp, np.object)

    def test_insert_index_complex128(self):
        pass

    def test_insert_index_bool(self):
        pass

    def test_insert_index_datetime64(self):
        obj = pd.DatetimeIndex(['2011-01-01', '2011-01-02', '2011-01-03',
                                '2011-01-04'])
        self.assertEqual(obj.dtype, 'datetime64[ns]')

        # datetime64 + datetime64 => datetime64
        exp = pd.DatetimeIndex(['2011-01-01', '2012-01-01', '2011-01-02',
                                '2011-01-03', '2011-01-04'])
        self._assert_insert_conversion(obj, pd.Timestamp('2012-01-01'),
                                       exp, 'datetime64[ns]')

        # ToDo: must coerce to object
        msg = "Passed item and index have different timezone"
        with tm.assertRaisesRegexp(ValueError, msg):
            obj.insert(1, pd.Timestamp('2012-01-01', tz='US/Eastern'))

        # ToDo: must coerce to object
        msg = "cannot insert DatetimeIndex with incompatible label"
        with tm.assertRaisesRegexp(TypeError, msg):
            obj.insert(1, 1)

    def test_insert_index_datetime64tz(self):
        obj = pd.DatetimeIndex(['2011-01-01', '2011-01-02', '2011-01-03',
                                '2011-01-04'], tz='US/Eastern')
        self.assertEqual(obj.dtype, 'datetime64[ns, US/Eastern]')

        # datetime64tz + datetime64tz => datetime64
        exp = pd.DatetimeIndex(['2011-01-01', '2012-01-01', '2011-01-02',
                                '2011-01-03', '2011-01-04'], tz='US/Eastern')
        val = pd.Timestamp('2012-01-01', tz='US/Eastern')
        self._assert_insert_conversion(obj, val, exp,
                                       'datetime64[ns, US/Eastern]')

        # ToDo: must coerce to object
        msg = "Passed item and index have different timezone"
        with tm.assertRaisesRegexp(ValueError, msg):
            obj.insert(1, pd.Timestamp('2012-01-01'))

        # ToDo: must coerce to object
        msg = "Passed item and index have different timezone"
        with tm.assertRaisesRegexp(ValueError, msg):
            obj.insert(1, pd.Timestamp('2012-01-01', tz='Asia/Tokyo'))

        # ToDo: must coerce to object
        msg = "cannot insert DatetimeIndex with incompatible label"
        with tm.assertRaisesRegexp(TypeError, msg):
            obj.insert(1, 1)

    def test_insert_index_timedelta64(self):
        obj = pd.TimedeltaIndex(['1 day', '2 day', '3 day', '4 day'])
        self.assertEqual(obj.dtype, 'timedelta64[ns]')

        # timedelta64 + timedelta64 => timedelta64
        exp = pd.TimedeltaIndex(['1 day', '10 day', '2 day', '3 day', '4 day'])
        self._assert_insert_conversion(obj, pd.Timedelta('10 day'),
                                       exp, 'timedelta64[ns]')

        # ToDo: must coerce to object
        msg = "cannot insert TimedeltaIndex with incompatible label"
        with tm.assertRaisesRegexp(TypeError, msg):
            obj.insert(1, pd.Timestamp('2012-01-01'))

        # ToDo: must coerce to object
        msg = "cannot insert TimedeltaIndex with incompatible label"
        with tm.assertRaisesRegexp(TypeError, msg):
            obj.insert(1, 1)

    def test_insert_index_period(self):
        obj = pd.PeriodIndex(['2011-01', '2011-02', '2011-03', '2011-04'],
                             freq='M')
        self.assertEqual(obj.dtype, 'period[M]')

        # period + period => period
        exp = pd.PeriodIndex(['2011-01', '2012-01', '2011-02',
                              '2011-03', '2011-04'], freq='M')
        self._assert_insert_conversion(obj, pd.Period('2012-01', freq='M'),
                                       exp, 'period[M]')

        # period + datetime64 => object
        exp = pd.Index([pd.Period('2011-01', freq='M'),
                        pd.Timestamp('2012-01-01'),
                        pd.Period('2011-02', freq='M'),
                        pd.Period('2011-03', freq='M'),
                        pd.Period('2011-04', freq='M')], freq='M')
        self._assert_insert_conversion(obj, pd.Timestamp('2012-01-01'),
                                       exp, np.object)

        # period + int => object
        exp = pd.Index([pd.Period('2011-01', freq='M'),
                        1,
                        pd.Period('2011-02', freq='M'),
                        pd.Period('2011-03', freq='M'),
                        pd.Period('2011-04', freq='M')], freq='M')
        self._assert_insert_conversion(obj, 1, exp, np.object)

        # period + object => object
        exp = pd.Index([pd.Period('2011-01', freq='M'),
                        'x',
                        pd.Period('2011-02', freq='M'),
                        pd.Period('2011-03', freq='M'),
                        pd.Period('2011-04', freq='M')], freq='M')
        self._assert_insert_conversion(obj, 'x', exp, np.object)


class TestWhereCoercion(CoercionBase, tm.TestCase):

    method = 'where'

    def _assert_where_conversion(self, original, cond, values,
                                 expected, expected_dtype):
        """ test coercion triggered by where """
        target = original.copy()
        res = target.where(cond, values)
        self._assert(res, expected, expected_dtype)

    def _where_object_common(self, klass):
        obj = klass(list('abcd'))
        self.assertEqual(obj.dtype, np.object)
        cond = klass([True, False, True, False])

        # object + int -> object
        exp = klass(['a', 1, 'c', 1])
        self._assert_where_conversion(obj, cond, 1, exp, np.object)

        values = klass([5, 6, 7, 8])
        exp = klass(['a', 6, 'c', 8])
        self._assert_where_conversion(obj, cond, values, exp, np.object)

        # object + float -> object
        exp = klass(['a', 1.1, 'c', 1.1])
        self._assert_where_conversion(obj, cond, 1.1, exp, np.object)

        values = klass([5.5, 6.6, 7.7, 8.8])
        exp = klass(['a', 6.6, 'c', 8.8])
        self._assert_where_conversion(obj, cond, values, exp, np.object)

        # object + complex -> object
        exp = klass(['a', 1 + 1j, 'c', 1 + 1j])
        self._assert_where_conversion(obj, cond, 1 + 1j, exp, np.object)

        values = klass([5 + 5j, 6 + 6j, 7 + 7j, 8 + 8j])
        exp = klass(['a', 6 + 6j, 'c', 8 + 8j])
        self._assert_where_conversion(obj, cond, values, exp, np.object)

        if klass is pd.Series:
            exp = klass(['a', 1, 'c', 1])
            self._assert_where_conversion(obj, cond, True, exp, np.object)

            values = klass([True, False, True, True])
            exp = klass(['a', 0, 'c', 1])
            self._assert_where_conversion(obj, cond, values, exp, np.object)
        elif klass is pd.Index:
            # object + bool -> object
            exp = klass(['a', True, 'c', True])
            self._assert_where_conversion(obj, cond, True, exp, np.object)

            values = klass([True, False, True, True])
            exp = klass(['a', False, 'c', True])
            self._assert_where_conversion(obj, cond, values, exp, np.object)
        else:
            NotImplementedError

    def test_where_series_object(self):
        self._where_object_common(pd.Series)

    def test_where_index_object(self):
        self._where_object_common(pd.Index)

    def _where_int64_common(self, klass):
        obj = klass([1, 2, 3, 4])
        self.assertEqual(obj.dtype, np.int64)
        cond = klass([True, False, True, False])

        # int + int -> int
        exp = klass([1, 1, 3, 1])
        self._assert_where_conversion(obj, cond, 1, exp, np.int64)

        values = klass([5, 6, 7, 8])
        exp = klass([1, 6, 3, 8])
        self._assert_where_conversion(obj, cond, values, exp, np.int64)

        # int + float -> float
        exp = klass([1, 1.1, 3, 1.1])
        self._assert_where_conversion(obj, cond, 1.1, exp, np.float64)

        values = klass([5.5, 6.6, 7.7, 8.8])
        exp = klass([1, 6.6, 3, 8.8])
        self._assert_where_conversion(obj, cond, values, exp, np.float64)

        # int + complex -> complex
        if klass is pd.Series:
            exp = klass([1, 1 + 1j, 3, 1 + 1j])
            self._assert_where_conversion(obj, cond, 1 + 1j, exp,
                                          np.complex128)

            values = klass([5 + 5j, 6 + 6j, 7 + 7j, 8 + 8j])
            exp = klass([1, 6 + 6j, 3, 8 + 8j])
            self._assert_where_conversion(obj, cond, values, exp,
                                          np.complex128)

        # int + bool -> int
        exp = klass([1, 1, 3, 1])
        self._assert_where_conversion(obj, cond, True, exp, np.int64)

        values = klass([True, False, True, True])
        exp = klass([1, 0, 3, 1])
        self._assert_where_conversion(obj, cond, values, exp, np.int64)

    def test_where_series_int64(self):
        self._where_int64_common(pd.Series)

    def test_where_index_int64(self):
        self._where_int64_common(pd.Index)

    def _where_float64_common(self, klass):
        obj = klass([1.1, 2.2, 3.3, 4.4])
        self.assertEqual(obj.dtype, np.float64)
        cond = klass([True, False, True, False])

        # float + int -> float
        exp = klass([1.1, 1.0, 3.3, 1.0])
        self._assert_where_conversion(obj, cond, 1, exp, np.float64)

        values = klass([5, 6, 7, 8])
        exp = klass([1.1, 6.0, 3.3, 8.0])
        self._assert_where_conversion(obj, cond, values, exp, np.float64)

        # float + float -> float
        exp = klass([1.1, 1.1, 3.3, 1.1])
        self._assert_where_conversion(obj, cond, 1.1, exp, np.float64)

        values = klass([5.5, 6.6, 7.7, 8.8])
        exp = klass([1.1, 6.6, 3.3, 8.8])
        self._assert_where_conversion(obj, cond, values, exp, np.float64)

        # float + complex -> complex
        if klass is pd.Series:
            exp = klass([1.1, 1 + 1j, 3.3, 1 + 1j])
            self._assert_where_conversion(obj, cond, 1 + 1j, exp,
                                          np.complex128)

            values = klass([5 + 5j, 6 + 6j, 7 + 7j, 8 + 8j])
            exp = klass([1.1, 6 + 6j, 3.3, 8 + 8j])
            self._assert_where_conversion(obj, cond, values, exp,
                                          np.complex128)

        # float + bool -> float
        exp = klass([1.1, 1.0, 3.3, 1.0])
        self._assert_where_conversion(obj, cond, True, exp, np.float64)

        values = klass([True, False, True, True])
        exp = klass([1.1, 0.0, 3.3, 1.0])
        self._assert_where_conversion(obj, cond, values, exp, np.float64)

    def test_where_series_float64(self):
        self._where_float64_common(pd.Series)

    def test_where_index_float64(self):
        self._where_float64_common(pd.Index)

    def test_where_series_complex128(self):
        obj = pd.Series([1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j])
        self.assertEqual(obj.dtype, np.complex128)
        cond = pd.Series([True, False, True, False])

        # complex + int -> complex
        exp = pd.Series([1 + 1j, 1, 3 + 3j, 1])
        self._assert_where_conversion(obj, cond, 1, exp, np.complex128)

        values = pd.Series([5, 6, 7, 8])
        exp = pd.Series([1 + 1j, 6.0, 3 + 3j, 8.0])
        self._assert_where_conversion(obj, cond, values, exp, np.complex128)

        # complex + float -> complex
        exp = pd.Series([1 + 1j, 1.1, 3 + 3j, 1.1])
        self._assert_where_conversion(obj, cond, 1.1, exp, np.complex128)

        values = pd.Series([5.5, 6.6, 7.7, 8.8])
        exp = pd.Series([1 + 1j, 6.6, 3 + 3j, 8.8])
        self._assert_where_conversion(obj, cond, values, exp, np.complex128)

        # complex + complex -> complex
        exp = pd.Series([1 + 1j, 1 + 1j, 3 + 3j, 1 + 1j])
        self._assert_where_conversion(obj, cond, 1 + 1j, exp, np.complex128)

        values = pd.Series([5 + 5j, 6 + 6j, 7 + 7j, 8 + 8j])
        exp = pd.Series([1 + 1j, 6 + 6j, 3 + 3j, 8 + 8j])
        self._assert_where_conversion(obj, cond, values, exp, np.complex128)

        # complex + bool -> complex
        exp = pd.Series([1 + 1j, 1, 3 + 3j, 1])
        self._assert_where_conversion(obj, cond, True, exp, np.complex128)

        values = pd.Series([True, False, True, True])
        exp = pd.Series([1 + 1j, 0, 3 + 3j, 1])
        self._assert_where_conversion(obj, cond, values, exp, np.complex128)

    def test_where_index_complex128(self):
        pass

    def test_where_series_bool(self):
        obj = pd.Series([True, False, True, False])
        self.assertEqual(obj.dtype, np.bool)
        cond = pd.Series([True, False, True, False])

        # bool + int -> int
        exp = pd.Series([1, 1, 1, 1])
        self._assert_where_conversion(obj, cond, 1, exp, np.int64)

        values = pd.Series([5, 6, 7, 8])
        exp = pd.Series([1, 6, 1, 8])
        self._assert_where_conversion(obj, cond, values, exp, np.int64)

        # bool + float -> float
        exp = pd.Series([1.0, 1.1, 1.0, 1.1])
        self._assert_where_conversion(obj, cond, 1.1, exp, np.float64)

        values = pd.Series([5.5, 6.6, 7.7, 8.8])
        exp = pd.Series([1.0, 6.6, 1.0, 8.8])
        self._assert_where_conversion(obj, cond, values, exp, np.float64)

        # bool + complex -> complex
        exp = pd.Series([1, 1 + 1j, 1, 1 + 1j])
        self._assert_where_conversion(obj, cond, 1 + 1j, exp, np.complex128)

        values = pd.Series([5 + 5j, 6 + 6j, 7 + 7j, 8 + 8j])
        exp = pd.Series([1, 6 + 6j, 1, 8 + 8j])
        self._assert_where_conversion(obj, cond, values, exp, np.complex128)

        # bool + bool -> bool
        exp = pd.Series([True, True, True, True])
        self._assert_where_conversion(obj, cond, True, exp, np.bool)

        values = pd.Series([True, False, True, True])
        exp = pd.Series([True, False, True, True])
        self._assert_where_conversion(obj, cond, values, exp, np.bool)

    def test_where_index_bool(self):
        pass

    def test_where_series_datetime64(self):
        obj = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2011-01-02'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self.assertEqual(obj.dtype, 'datetime64[ns]')
        cond = pd.Series([True, False, True, False])

        # datetime64 + datetime64 -> datetime64
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2012-01-01'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2012-01-01')])
        self._assert_where_conversion(obj, cond, pd.Timestamp('2012-01-01'),
                                      exp, 'datetime64[ns]')

        values = pd.Series([pd.Timestamp('2012-01-01'),
                            pd.Timestamp('2012-01-02'),
                            pd.Timestamp('2012-01-03'),
                            pd.Timestamp('2012-01-04')])
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2012-01-02'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2012-01-04')])
        self._assert_where_conversion(obj, cond, values, exp, 'datetime64[ns]')

        # ToDo: coerce to object
        msg = "cannot coerce a Timestamp with a tz on a naive Block"
        with tm.assertRaisesRegexp(TypeError, msg):
            obj.where(cond, pd.Timestamp('2012-01-01', tz='US/Eastern'))

        # ToDo: do not coerce to UTC, must be object
        values = pd.Series([pd.Timestamp('2012-01-01', tz='US/Eastern'),
                            pd.Timestamp('2012-01-02', tz='US/Eastern'),
                            pd.Timestamp('2012-01-03', tz='US/Eastern'),
                            pd.Timestamp('2012-01-04', tz='US/Eastern')])
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2012-01-02 05:00'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2012-01-04 05:00')])
        self._assert_where_conversion(obj, cond, values, exp, 'datetime64[ns]')

    def test_where_index_datetime64(self):
        obj = pd.Index([pd.Timestamp('2011-01-01'),
                        pd.Timestamp('2011-01-02'),
                        pd.Timestamp('2011-01-03'),
                        pd.Timestamp('2011-01-04')])
        self.assertEqual(obj.dtype, 'datetime64[ns]')
        cond = pd.Index([True, False, True, False])

        # datetime64 + datetime64 -> datetime64
        # must support scalar
        msg = "cannot coerce a Timestamp with a tz on a naive Block"
        with pytest.raises(TypeError):
            obj.where(cond, pd.Timestamp('2012-01-01'))

        values = pd.Index([pd.Timestamp('2012-01-01'),
                           pd.Timestamp('2012-01-02'),
                           pd.Timestamp('2012-01-03'),
                           pd.Timestamp('2012-01-04')])
        exp = pd.Index([pd.Timestamp('2011-01-01'),
                        pd.Timestamp('2012-01-02'),
                        pd.Timestamp('2011-01-03'),
                        pd.Timestamp('2012-01-04')])
        self._assert_where_conversion(obj, cond, values, exp, 'datetime64[ns]')

        # ToDo: coerce to object
        msg = ("Index\\(\\.\\.\\.\\) must be called with a collection "
               "of some kind")
        with tm.assertRaisesRegexp(TypeError, msg):
            obj.where(cond, pd.Timestamp('2012-01-01', tz='US/Eastern'))

        # ToDo: do not ignore timezone, must be object
        values = pd.Index([pd.Timestamp('2012-01-01', tz='US/Eastern'),
                           pd.Timestamp('2012-01-02', tz='US/Eastern'),
                           pd.Timestamp('2012-01-03', tz='US/Eastern'),
                           pd.Timestamp('2012-01-04', tz='US/Eastern')])
        exp = pd.Index([pd.Timestamp('2011-01-01'),
                        pd.Timestamp('2012-01-02'),
                        pd.Timestamp('2011-01-03'),
                        pd.Timestamp('2012-01-04')])
        self._assert_where_conversion(obj, cond, values, exp, 'datetime64[ns]')

    def test_where_series_datetime64tz(self):
        pass

    def test_where_series_timedelta64(self):
        pass

    def test_where_series_period(self):
        pass

    def test_where_index_datetime64tz(self):
        pass

    def test_where_index_timedelta64(self):
        pass

    def test_where_index_period(self):
        pass


class TestFillnaSeriesCoercion(CoercionBase, tm.TestCase):

    # not indexing, but place here for consisntency

    method = 'fillna'

    def _assert_fillna_conversion(self, original, value,
                                  expected, expected_dtype):
        """ test coercion triggered by fillna """
        target = original.copy()
        res = target.fillna(value)
        self._assert(res, expected, expected_dtype)

    def _fillna_object_common(self, klass):
        obj = klass(['a', np.nan, 'c', 'd'])
        self.assertEqual(obj.dtype, np.object)

        # object + int -> object
        exp = klass(['a', 1, 'c', 'd'])
        self._assert_fillna_conversion(obj, 1, exp, np.object)

        # object + float -> object
        exp = klass(['a', 1.1, 'c', 'd'])
        self._assert_fillna_conversion(obj, 1.1, exp, np.object)

        # object + complex -> object
        exp = klass(['a', 1 + 1j, 'c', 'd'])
        self._assert_fillna_conversion(obj, 1 + 1j, exp, np.object)

        # object + bool -> object
        exp = klass(['a', True, 'c', 'd'])
        self._assert_fillna_conversion(obj, True, exp, np.object)

    def test_fillna_series_object(self):
        self._fillna_object_common(pd.Series)

    def test_fillna_index_object(self):
        self._fillna_object_common(pd.Index)

    def test_fillna_series_int64(self):
        # int can't hold NaN
        pass

    def test_fillna_index_int64(self):
        pass

    def _fillna_float64_common(self, klass):
        obj = klass([1.1, np.nan, 3.3, 4.4])
        self.assertEqual(obj.dtype, np.float64)

        # float + int -> float
        exp = klass([1.1, 1.0, 3.3, 4.4])
        self._assert_fillna_conversion(obj, 1, exp, np.float64)

        # float + float -> float
        exp = klass([1.1, 1.1, 3.3, 4.4])
        self._assert_fillna_conversion(obj, 1.1, exp, np.float64)

        if klass is pd.Series:
            # float + complex -> complex
            exp = klass([1.1, 1 + 1j, 3.3, 4.4])
            self._assert_fillna_conversion(obj, 1 + 1j, exp, np.complex128)
        elif klass is pd.Index:
            # float + complex -> object
            exp = klass([1.1, 1 + 1j, 3.3, 4.4])
            self._assert_fillna_conversion(obj, 1 + 1j, exp, np.object)
        else:
            NotImplementedError

        # float + bool -> float
        exp = klass([1.1, 1.0, 3.3, 4.4])
        self._assert_fillna_conversion(obj, True, exp, np.float64)

    def test_fillna_series_float64(self):
        self._fillna_float64_common(pd.Series)

    def test_fillna_index_float64(self):
        self._fillna_float64_common(pd.Index)

    def test_fillna_series_complex128(self):
        obj = pd.Series([1 + 1j, np.nan, 3 + 3j, 4 + 4j])
        self.assertEqual(obj.dtype, np.complex128)

        # complex + int -> complex
        exp = pd.Series([1 + 1j, 1, 3 + 3j, 4 + 4j])
        self._assert_fillna_conversion(obj, 1, exp, np.complex128)

        # complex + float -> complex
        exp = pd.Series([1 + 1j, 1.1, 3 + 3j, 4 + 4j])
        self._assert_fillna_conversion(obj, 1.1, exp, np.complex128)

        # complex + complex -> complex
        exp = pd.Series([1 + 1j, 1 + 1j, 3 + 3j, 4 + 4j])
        self._assert_fillna_conversion(obj, 1 + 1j, exp, np.complex128)

        # complex + bool -> complex
        exp = pd.Series([1 + 1j, 1, 3 + 3j, 4 + 4j])
        self._assert_fillna_conversion(obj, True, exp, np.complex128)

    def test_fillna_index_complex128(self):
        self._fillna_float64_common(pd.Index)

    def test_fillna_series_bool(self):
        # bool can't hold NaN
        pass

    def test_fillna_index_bool(self):
        pass

    def test_fillna_series_datetime64(self):
        obj = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.NaT,
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self.assertEqual(obj.dtype, 'datetime64[ns]')

        # datetime64 + datetime64 => datetime64
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2012-01-01'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self._assert_fillna_conversion(obj, pd.Timestamp('2012-01-01'),
                                       exp, 'datetime64[ns]')

        # datetime64 + datetime64tz => object
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp('2012-01-01', tz='US/Eastern'),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        value = pd.Timestamp('2012-01-01', tz='US/Eastern')
        self._assert_fillna_conversion(obj, value, exp, np.object)

        # datetime64 + int => object
        # ToDo: must be coerced to object
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         pd.Timestamp(1),
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self._assert_fillna_conversion(obj, 1, exp, 'datetime64[ns]')

        # datetime64 + object => object
        exp = pd.Series([pd.Timestamp('2011-01-01'),
                         'x',
                         pd.Timestamp('2011-01-03'),
                         pd.Timestamp('2011-01-04')])
        self._assert_fillna_conversion(obj, 'x', exp, np.object)

    def test_fillna_series_datetime64tz(self):
        tz = 'US/Eastern'

        obj = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.NaT,
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        self.assertEqual(obj.dtype, 'datetime64[ns, US/Eastern]')

        # datetime64tz + datetime64tz => datetime64tz
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp('2012-01-01', tz=tz),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        value = pd.Timestamp('2012-01-01', tz=tz)
        self._assert_fillna_conversion(obj, value, exp,
                                       'datetime64[ns, US/Eastern]')

        # datetime64tz + datetime64 => object
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp('2012-01-01'),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        value = pd.Timestamp('2012-01-01')
        self._assert_fillna_conversion(obj, value, exp, np.object)

        # datetime64tz + datetime64tz(different tz) => object
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp('2012-01-01', tz='Asia/Tokyo'),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        value = pd.Timestamp('2012-01-01', tz='Asia/Tokyo')
        self._assert_fillna_conversion(obj, value, exp, np.object)

        # datetime64tz + int => datetime64tz
        # ToDo: must be object
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         pd.Timestamp(1, tz=tz),
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        self._assert_fillna_conversion(obj, 1, exp,
                                       'datetime64[ns, US/Eastern]')

        # datetime64tz + object => object
        exp = pd.Series([pd.Timestamp('2011-01-01', tz=tz),
                         'x',
                         pd.Timestamp('2011-01-03', tz=tz),
                         pd.Timestamp('2011-01-04', tz=tz)])
        self._assert_fillna_conversion(obj, 'x', exp, np.object)

    def test_fillna_series_timedelta64(self):
        pass

    def test_fillna_series_period(self):
        pass

    def test_fillna_index_datetime64(self):
        obj = pd.DatetimeIndex(['2011-01-01', 'NaT', '2011-01-03',
                                '2011-01-04'])
        self.assertEqual(obj.dtype, 'datetime64[ns]')

        # datetime64 + datetime64 => datetime64
        exp = pd.DatetimeIndex(['2011-01-01', '2012-01-01',
                                '2011-01-03', '2011-01-04'])
        self._assert_fillna_conversion(obj, pd.Timestamp('2012-01-01'),
                                       exp, 'datetime64[ns]')

        # datetime64 + datetime64tz => object
        exp = pd.Index([pd.Timestamp('2011-01-01'),
                        pd.Timestamp('2012-01-01', tz='US/Eastern'),
                        pd.Timestamp('2011-01-03'),
                        pd.Timestamp('2011-01-04')])
        value = pd.Timestamp('2012-01-01', tz='US/Eastern')
        self._assert_fillna_conversion(obj, value, exp, np.object)

        # datetime64 + int => object
        exp = pd.Index([pd.Timestamp('2011-01-01'),
                        1,
                        pd.Timestamp('2011-01-03'),
                        pd.Timestamp('2011-01-04')])
        self._assert_fillna_conversion(obj, 1, exp, np.object)

        # datetime64 + object => object
        exp = pd.Index([pd.Timestamp('2011-01-01'),
                        'x',
                        pd.Timestamp('2011-01-03'),
                        pd.Timestamp('2011-01-04')])
        self._assert_fillna_conversion(obj, 'x', exp, np.object)

    def test_fillna_index_datetime64tz(self):
        tz = 'US/Eastern'

        obj = pd.DatetimeIndex(['2011-01-01', 'NaT', '2011-01-03',
                                '2011-01-04'], tz=tz)
        self.assertEqual(obj.dtype, 'datetime64[ns, US/Eastern]')

        # datetime64tz + datetime64tz => datetime64tz
        exp = pd.DatetimeIndex(['2011-01-01', '2012-01-01',
                                '2011-01-03', '2011-01-04'], tz=tz)
        value = pd.Timestamp('2012-01-01', tz=tz)
        self._assert_fillna_conversion(obj, value, exp,
                                       'datetime64[ns, US/Eastern]')

        # datetime64tz + datetime64 => object
        exp = pd.Index([pd.Timestamp('2011-01-01', tz=tz),
                        pd.Timestamp('2012-01-01'),
                        pd.Timestamp('2011-01-03', tz=tz),
                        pd.Timestamp('2011-01-04', tz=tz)])
        value = pd.Timestamp('2012-01-01')
        self._assert_fillna_conversion(obj, value, exp, np.object)

        # datetime64tz + datetime64tz(different tz) => object
        exp = pd.Index([pd.Timestamp('2011-01-01', tz=tz),
                        pd.Timestamp('2012-01-01', tz='Asia/Tokyo'),
                        pd.Timestamp('2011-01-03', tz=tz),
                        pd.Timestamp('2011-01-04', tz=tz)])
        value = pd.Timestamp('2012-01-01', tz='Asia/Tokyo')
        self._assert_fillna_conversion(obj, value, exp, np.object)

        # datetime64tz + int => object
        exp = pd.Index([pd.Timestamp('2011-01-01', tz=tz),
                        1,
                        pd.Timestamp('2011-01-03', tz=tz),
                        pd.Timestamp('2011-01-04', tz=tz)])
        self._assert_fillna_conversion(obj, 1, exp, np.object)

        # datetime64tz + object => object
        exp = pd.Index([pd.Timestamp('2011-01-01', tz=tz),
                        'x',
                        pd.Timestamp('2011-01-03', tz=tz),
                        pd.Timestamp('2011-01-04', tz=tz)])
        self._assert_fillna_conversion(obj, 'x', exp, np.object)

    def test_fillna_index_timedelta64(self):
        pass

    def test_fillna_index_period(self):
        pass


class TestReplaceSeriesCoercion(CoercionBase, tm.TestCase):

    # not indexing, but place here for consisntency

    klasses = ['series']
    method = 'replace'

    def setUp(self):
        self.rep = {}
        self.rep['object'] = ['a', 'b']
        self.rep['int64'] = [4, 5]
        self.rep['float64'] = [1.1, 2.2]
        self.rep['complex128'] = [1 + 1j, 2 + 2j]
        self.rep['bool'] = [True, False]
        self.rep['datetime64[ns]'] = [pd.Timestamp('2011-01-01'),
                                      pd.Timestamp('2011-01-03')]

        for tz in ['UTC', 'US/Eastern']:
            # to test tz => different tz replacement
            key = 'datetime64[ns, {0}]'.format(tz)
            self.rep[key] = [pd.Timestamp('2011-01-01', tz=tz),
                             pd.Timestamp('2011-01-03', tz=tz)]

        self.rep['timedelta64[ns]'] = [pd.Timedelta('1 day'),
                                       pd.Timedelta('2 day')]

    def _assert_replace_conversion(self, from_key, to_key, how):
        index = pd.Index([3, 4], name='xxx')
        obj = pd.Series(self.rep[from_key], index=index, name='yyy')
        self.assertEqual(obj.dtype, from_key)

        if (from_key.startswith('datetime') and to_key.startswith('datetime')):
            # different tz, currently mask_missing raises SystemError
            return

        if how == 'dict':
            replacer = dict(zip(self.rep[from_key], self.rep[to_key]))
        elif how == 'series':
            replacer = pd.Series(self.rep[to_key], index=self.rep[from_key])
        else:
            raise ValueError

        result = obj.replace(replacer)

        if ((from_key == 'float64' and to_key in ('int64')) or
            (from_key == 'complex128' and
             to_key in ('int64', 'float64'))):

            # buggy on 32-bit
            if tm.is_platform_32bit():
                pytest.skip("32-bit platform buggy: {0} -> {1}".format
                            (from_key, to_key))

            # Expected: do not downcast by replacement
            exp = pd.Series(self.rep[to_key], index=index,
                            name='yyy', dtype=from_key)

        else:
            exp = pd.Series(self.rep[to_key], index=index, name='yyy')
            self.assertEqual(exp.dtype, to_key)

        tm.assert_series_equal(result, exp)

    def test_replace_series_object(self):
        from_key = 'object'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_int64(self):
        from_key = 'int64'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_float64(self):
        from_key = 'float64'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_complex128(self):
        from_key = 'complex128'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_bool(self):
        from_key = 'bool'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        for to_key in self.rep:

            if compat.PY3:
                # doesn't work in PY3, though ...dict_from_bool works fine
                pytest.skip("doesn't work as in PY3")

            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_datetime64(self):
        from_key = 'datetime64[ns]'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        from_key = 'datetime64[ns]'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_datetime64tz(self):
        from_key = 'datetime64[ns, US/Eastern]'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        from_key = 'datetime64[ns, US/Eastern]'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_timedelta64(self):
        from_key = 'timedelta64[ns]'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='dict')

        from_key = 'timedelta64[ns]'
        for to_key in self.rep:
            self._assert_replace_conversion(from_key, to_key, how='series')

    def test_replace_series_period(self):
        pass