# -*- coding: utf-8 -*-
"""
Tests for DataFrame timezone-related methods
"""
from datetime import datetime

import pytest
import pytz
import numpy as np

import pandas.util.testing as tm
from pandas.compat import lrange
from pandas.core.indexes.datetimes import date_range
from pandas.core.dtypes.dtypes import DatetimeTZDtype
from pandas import Series, DataFrame


class TestDataFrameTimezones(object):
    def test_frame_from_records_utc(self):
        rec = {'datum': 1.5,
               'begin_time': datetime(2006, 4, 27, tzinfo=pytz.utc)}

        # it works
        DataFrame.from_records([rec], index='begin_time')

    def test_frame_tz_localize(self):
        rng = date_range('1/1/2011', periods=100, freq='H')

        df = DataFrame({'a': 1}, index=rng)
        result = df.tz_localize('utc')
        expected = DataFrame({'a': 1}, rng.tz_localize('UTC'))
        assert result.index.tz.zone == 'UTC'
        tm.assert_frame_equal(result, expected)

        df = df.T
        result = df.tz_localize('utc', axis=1)
        assert result.columns.tz.zone == 'UTC'
        tm.assert_frame_equal(result, expected.T)

    def test_frame_tz_convert(self):
        rng = date_range('1/1/2011', periods=200, freq='D', tz='US/Eastern')

        df = DataFrame({'a': 1}, index=rng)
        result = df.tz_convert('Europe/Berlin')
        expected = DataFrame({'a': 1}, rng.tz_convert('Europe/Berlin'))
        assert result.index.tz.zone == 'Europe/Berlin'
        tm.assert_frame_equal(result, expected)

        df = df.T
        result = df.tz_convert('Europe/Berlin', axis=1)
        assert result.columns.tz.zone == 'Europe/Berlin'
        tm.assert_frame_equal(result, expected.T)

    def test_frame_join_tzaware(self):
        test1 = DataFrame(np.zeros((6, 3)),
                          index=date_range("2012-11-15 00:00:00", periods=6,
                                           freq="100L", tz="US/Central"))
        test2 = DataFrame(np.zeros((3, 3)),
                          index=date_range("2012-11-15 00:00:00", periods=3,
                                           freq="250L", tz="US/Central"),
                          columns=lrange(3, 6))

        result = test1.join(test2, how='outer')
        ex_index = test1.index.union(test2.index)

        tm.assert_index_equal(result.index, ex_index)
        assert result.index.tz.zone == 'US/Central'

    def test_frame_add_tz_mismatch_converts_to_utc(self):
        rng = date_range('1/1/2011', periods=10, freq='H', tz='US/Eastern')
        df = DataFrame(np.random.randn(len(rng)), index=rng, columns=['a'])

        df_moscow = df.tz_convert('Europe/Moscow')
        result = df + df_moscow
        assert result.index.tz is pytz.utc

        result = df_moscow + df
        assert result.index.tz is pytz.utc

    def test_frame_align_aware(self):
        idx1 = date_range('2001', periods=5, freq='H', tz='US/Eastern')
        idx2 = date_range('2001', periods=5, freq='2H', tz='US/Eastern')
        df1 = DataFrame(np.random.randn(len(idx1), 3), idx1)
        df2 = DataFrame(np.random.randn(len(idx2), 3), idx2)
        new1, new2 = df1.align(df2)
        assert df1.index.tz == new1.index.tz
        assert df2.index.tz == new2.index.tz

        # different timezones convert to UTC

        # frame with frame
        df1_central = df1.tz_convert('US/Central')
        new1, new2 = df1.align(df1_central)
        assert new1.index.tz == pytz.UTC
        assert new2.index.tz == pytz.UTC

        # frame with Series
        new1, new2 = df1.align(df1_central[0], axis=0)
        assert new1.index.tz == pytz.UTC
        assert new2.index.tz == pytz.UTC

        df1[0].align(df1_central, axis=0)
        assert new1.index.tz == pytz.UTC
        assert new2.index.tz == pytz.UTC

    @pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern'])
    def test_frame_no_datetime64_dtype(self, tz):
        # after GH#7822
        # these retain the timezones on dict construction
        dr = date_range('2011/1/1', '2012/1/1', freq='W-FRI')
        dr_tz = dr.tz_localize(tz)
        df = DataFrame({'A': 'foo', 'B': dr_tz}, index=dr)
        tz_expected = DatetimeTZDtype('ns', dr_tz.tzinfo)
        assert df['B'].dtype == tz_expected

        # GH#2810 (with timezones)
        datetimes_naive = [ts.to_pydatetime() for ts in dr]
        datetimes_with_tz = [ts.to_pydatetime() for ts in dr_tz]
        df = DataFrame({'dr': dr,
                        'dr_tz': dr_tz,
                        'datetimes_naive': datetimes_naive,
                        'datetimes_with_tz': datetimes_with_tz})
        result = df.get_dtype_counts().sort_index()
        expected = Series({'datetime64[ns]': 2,
                           str(tz_expected): 2}).sort_index()
        tm.assert_series_equal(result, expected)

    @pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern'])
    def test_frame_reset_index(self, tz):
        dr = date_range('2012-06-02', periods=10, tz=tz)
        df = DataFrame(np.random.randn(len(dr)), dr)
        roundtripped = df.reset_index().set_index('index')
        xp = df.index.tz
        rs = roundtripped.index.tz
        assert xp == rs

    @pytest.mark.parametrize('tz', [None, 'America/New_York'])
    def test_boolean_compare_transpose_tzindex_with_dst(self, tz):
        # GH 19970
        idx = date_range('20161101', '20161130', freq='4H', tz=tz)
        df = DataFrame({'a': range(len(idx)), 'b': range(len(idx))},
                       index=idx)
        result = df.T == df.T
        expected = DataFrame(True, index=list('ab'), columns=idx)
        tm.assert_frame_equal(result, expected)