import pytest

import numpy as np
import pandas as pd
from pandas import Categorical, Series, CategoricalIndex
from pandas.core.dtypes.concat import union_categoricals
from pandas.util import testing as tm


class TestUnionCategoricals(object):

    def test_union_categorical(self):
        # GH 13361
        data = [
            (list('abc'), list('abd'), list('abcabd')),
            ([0, 1, 2], [2, 3, 4], [0, 1, 2, 2, 3, 4]),
            ([0, 1.2, 2], [2, 3.4, 4], [0, 1.2, 2, 2, 3.4, 4]),

            (['b', 'b', np.nan, 'a'], ['a', np.nan, 'c'],
             ['b', 'b', np.nan, 'a', 'a', np.nan, 'c']),

            (pd.date_range('2014-01-01', '2014-01-05'),
             pd.date_range('2014-01-06', '2014-01-07'),
             pd.date_range('2014-01-01', '2014-01-07')),

            (pd.date_range('2014-01-01', '2014-01-05', tz='US/Central'),
             pd.date_range('2014-01-06', '2014-01-07', tz='US/Central'),
             pd.date_range('2014-01-01', '2014-01-07', tz='US/Central')),

            (pd.period_range('2014-01-01', '2014-01-05'),
             pd.period_range('2014-01-06', '2014-01-07'),
             pd.period_range('2014-01-01', '2014-01-07')),
        ]

        for a, b, combined in data:
            for box in [Categorical, CategoricalIndex, Series]:
                result = union_categoricals([box(Categorical(a)),
                                             box(Categorical(b))])
                expected = Categorical(combined)
                tm.assert_categorical_equal(result, expected,
                                            check_category_order=True)

        # new categories ordered by appearance
        s = Categorical(['x', 'y', 'z'])
        s2 = Categorical(['a', 'b', 'c'])
        result = union_categoricals([s, s2])
        expected = Categorical(['x', 'y', 'z', 'a', 'b', 'c'],
                               categories=['x', 'y', 'z', 'a', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        s = Categorical([0, 1.2, 2], ordered=True)
        s2 = Categorical([0, 1.2, 2], ordered=True)
        result = union_categoricals([s, s2])
        expected = Categorical([0, 1.2, 2, 0, 1.2, 2], ordered=True)
        tm.assert_categorical_equal(result, expected)

        # must exactly match types
        s = Categorical([0, 1.2, 2])
        s2 = Categorical([2, 3, 4])
        msg = 'dtype of categories must be the same'
        with tm.assert_raises_regex(TypeError, msg):
            union_categoricals([s, s2])

        msg = 'No Categoricals to union'
        with tm.assert_raises_regex(ValueError, msg):
            union_categoricals([])

    def test_union_categoricals_nan(self):
        # GH 13759
        res = union_categoricals([pd.Categorical([1, 2, np.nan]),
                                  pd.Categorical([3, 2, np.nan])])
        exp = Categorical([1, 2, np.nan, 3, 2, np.nan])
        tm.assert_categorical_equal(res, exp)

        res = union_categoricals([pd.Categorical(['A', 'B']),
                                  pd.Categorical(['B', 'B', np.nan])])
        exp = Categorical(['A', 'B', 'B', 'B', np.nan])
        tm.assert_categorical_equal(res, exp)

        val1 = [pd.Timestamp('2011-01-01'), pd.Timestamp('2011-03-01'),
                pd.NaT]
        val2 = [pd.NaT, pd.Timestamp('2011-01-01'),
                pd.Timestamp('2011-02-01')]

        res = union_categoricals([pd.Categorical(val1), pd.Categorical(val2)])
        exp = Categorical(val1 + val2,
                          categories=[pd.Timestamp('2011-01-01'),
                                      pd.Timestamp('2011-03-01'),
                                      pd.Timestamp('2011-02-01')])
        tm.assert_categorical_equal(res, exp)

        # all NaN
        res = union_categoricals([pd.Categorical([np.nan, np.nan]),
                                  pd.Categorical(['X'])])
        exp = Categorical([np.nan, np.nan, 'X'])
        tm.assert_categorical_equal(res, exp)

        res = union_categoricals([pd.Categorical([np.nan, np.nan]),
                                  pd.Categorical([np.nan, np.nan])])
        exp = Categorical([np.nan, np.nan, np.nan, np.nan])
        tm.assert_categorical_equal(res, exp)

    def test_union_categoricals_empty(self):
        # GH 13759
        res = union_categoricals([pd.Categorical([]),
                                  pd.Categorical([])])
        exp = Categorical([])
        tm.assert_categorical_equal(res, exp)

        res = union_categoricals([pd.Categorical([]),
                                  pd.Categorical([1.0])])
        exp = Categorical([1.0])
        tm.assert_categorical_equal(res, exp)

        # to make dtype equal
        nanc = pd.Categorical(np.array([np.nan], dtype=np.float64))
        res = union_categoricals([nanc,
                                  pd.Categorical([])])
        tm.assert_categorical_equal(res, nanc)

    def test_union_categorical_same_category(self):
        # check fastpath
        c1 = Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4])
        c2 = Categorical([3, 2, 1, np.nan], categories=[1, 2, 3, 4])
        res = union_categoricals([c1, c2])
        exp = Categorical([1, 2, 3, 4, 3, 2, 1, np.nan],
                          categories=[1, 2, 3, 4])
        tm.assert_categorical_equal(res, exp)

        c1 = Categorical(['z', 'z', 'z'], categories=['x', 'y', 'z'])
        c2 = Categorical(['x', 'x', 'x'], categories=['x', 'y', 'z'])
        res = union_categoricals([c1, c2])
        exp = Categorical(['z', 'z', 'z', 'x', 'x', 'x'],
                          categories=['x', 'y', 'z'])
        tm.assert_categorical_equal(res, exp)

    def test_union_categoricals_ordered(self):
        c1 = Categorical([1, 2, 3], ordered=True)
        c2 = Categorical([1, 2, 3], ordered=False)

        msg = 'Categorical.ordered must be the same'
        with tm.assert_raises_regex(TypeError, msg):
            union_categoricals([c1, c2])

        res = union_categoricals([c1, c1])
        exp = Categorical([1, 2, 3, 1, 2, 3], ordered=True)
        tm.assert_categorical_equal(res, exp)

        c1 = Categorical([1, 2, 3, np.nan], ordered=True)
        c2 = Categorical([3, 2], categories=[1, 2, 3], ordered=True)

        res = union_categoricals([c1, c2])
        exp = Categorical([1, 2, 3, np.nan, 3, 2], ordered=True)
        tm.assert_categorical_equal(res, exp)

        c1 = Categorical([1, 2, 3], ordered=True)
        c2 = Categorical([1, 2, 3], categories=[3, 2, 1], ordered=True)

        msg = "to union ordered Categoricals, all categories must be the same"
        with tm.assert_raises_regex(TypeError, msg):
            union_categoricals([c1, c2])

    def test_union_categoricals_ignore_order(self):
        # GH 15219
        c1 = Categorical([1, 2, 3], ordered=True)
        c2 = Categorical([1, 2, 3], ordered=False)

        res = union_categoricals([c1, c2], ignore_order=True)
        exp = Categorical([1, 2, 3, 1, 2, 3])
        tm.assert_categorical_equal(res, exp)

        msg = 'Categorical.ordered must be the same'
        with tm.assert_raises_regex(TypeError, msg):
            union_categoricals([c1, c2], ignore_order=False)

        res = union_categoricals([c1, c1], ignore_order=True)
        exp = Categorical([1, 2, 3, 1, 2, 3])
        tm.assert_categorical_equal(res, exp)

        res = union_categoricals([c1, c1], ignore_order=False)
        exp = Categorical([1, 2, 3, 1, 2, 3],
                          categories=[1, 2, 3], ordered=True)
        tm.assert_categorical_equal(res, exp)

        c1 = Categorical([1, 2, 3, np.nan], ordered=True)
        c2 = Categorical([3, 2], categories=[1, 2, 3], ordered=True)

        res = union_categoricals([c1, c2], ignore_order=True)
        exp = Categorical([1, 2, 3, np.nan, 3, 2])
        tm.assert_categorical_equal(res, exp)

        c1 = Categorical([1, 2, 3], ordered=True)
        c2 = Categorical([1, 2, 3], categories=[3, 2, 1], ordered=True)

        res = union_categoricals([c1, c2], ignore_order=True)
        exp = Categorical([1, 2, 3, 1, 2, 3])
        tm.assert_categorical_equal(res, exp)

        res = union_categoricals([c2, c1], ignore_order=True,
                                 sort_categories=True)
        exp = Categorical([1, 2, 3, 1, 2, 3], categories=[1, 2, 3])
        tm.assert_categorical_equal(res, exp)

        c1 = Categorical([1, 2, 3], ordered=True)
        c2 = Categorical([4, 5, 6], ordered=True)
        result = union_categoricals([c1, c2], ignore_order=True)
        expected = Categorical([1, 2, 3, 4, 5, 6])
        tm.assert_categorical_equal(result, expected)

        msg = "to union ordered Categoricals, all categories must be the same"
        with tm.assert_raises_regex(TypeError, msg):
            union_categoricals([c1, c2], ignore_order=False)

        with tm.assert_raises_regex(TypeError, msg):
            union_categoricals([c1, c2])

    def test_union_categoricals_sort(self):
        # GH 13846
        c1 = Categorical(['x', 'y', 'z'])
        c2 = Categorical(['a', 'b', 'c'])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical(['x', 'y', 'z', 'a', 'b', 'c'],
                               categories=['a', 'b', 'c', 'x', 'y', 'z'])
        tm.assert_categorical_equal(result, expected)

        # fastpath
        c1 = Categorical(['a', 'b'], categories=['b', 'a', 'c'])
        c2 = Categorical(['b', 'c'], categories=['b', 'a', 'c'])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical(['a', 'b', 'b', 'c'],
                               categories=['a', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical(['a', 'b'], categories=['c', 'a', 'b'])
        c2 = Categorical(['b', 'c'], categories=['c', 'a', 'b'])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical(['a', 'b', 'b', 'c'],
                               categories=['a', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        # fastpath - skip resort
        c1 = Categorical(['a', 'b'], categories=['a', 'b', 'c'])
        c2 = Categorical(['b', 'c'], categories=['a', 'b', 'c'])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical(['a', 'b', 'b', 'c'],
                               categories=['a', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical(['x', np.nan])
        c2 = Categorical([np.nan, 'b'])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical(['x', np.nan, np.nan, 'b'],
                               categories=['b', 'x'])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical([np.nan])
        c2 = Categorical([np.nan])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical([np.nan, np.nan], categories=[])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical([])
        c2 = Categorical([])
        result = union_categoricals([c1, c2], sort_categories=True)
        expected = Categorical([])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical(['b', 'a'], categories=['b', 'a', 'c'], ordered=True)
        c2 = Categorical(['a', 'c'], categories=['b', 'a', 'c'], ordered=True)
        with pytest.raises(TypeError):
            union_categoricals([c1, c2], sort_categories=True)

    def test_union_categoricals_sort_false(self):
        # GH 13846
        c1 = Categorical(['x', 'y', 'z'])
        c2 = Categorical(['a', 'b', 'c'])
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical(['x', 'y', 'z', 'a', 'b', 'c'],
                               categories=['x', 'y', 'z', 'a', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        # fastpath
        c1 = Categorical(['a', 'b'], categories=['b', 'a', 'c'])
        c2 = Categorical(['b', 'c'], categories=['b', 'a', 'c'])
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical(['a', 'b', 'b', 'c'],
                               categories=['b', 'a', 'c'])
        tm.assert_categorical_equal(result, expected)

        # fastpath - skip resort
        c1 = Categorical(['a', 'b'], categories=['a', 'b', 'c'])
        c2 = Categorical(['b', 'c'], categories=['a', 'b', 'c'])
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical(['a', 'b', 'b', 'c'],
                               categories=['a', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical(['x', np.nan])
        c2 = Categorical([np.nan, 'b'])
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical(['x', np.nan, np.nan, 'b'],
                               categories=['x', 'b'])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical([np.nan])
        c2 = Categorical([np.nan])
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical([np.nan, np.nan], categories=[])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical([])
        c2 = Categorical([])
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical([])
        tm.assert_categorical_equal(result, expected)

        c1 = Categorical(['b', 'a'], categories=['b', 'a', 'c'], ordered=True)
        c2 = Categorical(['a', 'c'], categories=['b', 'a', 'c'], ordered=True)
        result = union_categoricals([c1, c2], sort_categories=False)
        expected = Categorical(['b', 'a', 'a', 'c'],
                               categories=['b', 'a', 'c'], ordered=True)
        tm.assert_categorical_equal(result, expected)

    def test_union_categorical_unwrap(self):
        # GH 14173
        c1 = Categorical(['a', 'b'])
        c2 = pd.Series(['b', 'c'], dtype='category')
        result = union_categoricals([c1, c2])
        expected = Categorical(['a', 'b', 'b', 'c'])
        tm.assert_categorical_equal(result, expected)

        c2 = CategoricalIndex(c2)
        result = union_categoricals([c1, c2])
        tm.assert_categorical_equal(result, expected)

        c1 = Series(c1)
        result = union_categoricals([c1, c2])
        tm.assert_categorical_equal(result, expected)

        with pytest.raises(TypeError):
            union_categoricals([c1, ['a', 'b', 'c']])
