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| import numpy as np | ||
| import pandas as pd | ||
| from pandas import date_range, Index, DataFrame, Series, Timestamp | ||
| from pandas.util import testing as tm | ||
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| class TestDatetimeIndex(tm.TestCase): | ||
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| def test_indexing_with_datetime_tz(self): | ||
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| # 8260 | ||
| # support datetime64 with tz | ||
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| idx = Index(date_range('20130101', periods=3, tz='US/Eastern'), | ||
| name='foo') | ||
| dr = date_range('20130110', periods=3) | ||
| df = DataFrame({'A': idx, 'B': dr}) | ||
| df['C'] = idx | ||
| df.iloc[1, 1] = pd.NaT | ||
| df.iloc[1, 2] = pd.NaT | ||
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| # indexing | ||
| result = df.iloc[1] | ||
| expected = Series([Timestamp('2013-01-02 00:00:00-0500', | ||
| tz='US/Eastern'), np.nan, np.nan], | ||
| index=list('ABC'), dtype='object', name=1) | ||
| tm.assert_series_equal(result, expected) | ||
| result = df.loc[1] | ||
| expected = Series([Timestamp('2013-01-02 00:00:00-0500', | ||
| tz='US/Eastern'), np.nan, np.nan], | ||
| index=list('ABC'), dtype='object', name=1) | ||
| tm.assert_series_equal(result, expected) | ||
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| # indexing - fast_xs | ||
| df = DataFrame({'a': date_range('2014-01-01', periods=10, tz='UTC')}) | ||
| result = df.iloc[5] | ||
| expected = Timestamp('2014-01-06 00:00:00+0000', tz='UTC', freq='D') | ||
| self.assertEqual(result, expected) | ||
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| result = df.loc[5] | ||
| self.assertEqual(result, expected) | ||
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| # indexing - boolean | ||
| result = df[df.a > df.a[3]] | ||
| expected = df.iloc[4:] | ||
| tm.assert_frame_equal(result, expected) | ||
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| # indexing - setting an element | ||
| df = DataFrame(data=pd.to_datetime( | ||
| ['2015-03-30 20:12:32', '2015-03-12 00:11:11']), columns=['time']) | ||
| df['new_col'] = ['new', 'old'] | ||
| df.time = df.set_index('time').index.tz_localize('UTC') | ||
| v = df[df.new_col == 'new'].set_index('time').index.tz_convert( | ||
| 'US/Pacific') | ||
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| # trying to set a single element on a part of a different timezone | ||
| def f(): | ||
| df.loc[df.new_col == 'new', 'time'] = v | ||
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| self.assertRaises(ValueError, f) | ||
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| v = df.loc[df.new_col == 'new', 'time'] + pd.Timedelta('1s') | ||
| df.loc[df.new_col == 'new', 'time'] = v | ||
| tm.assert_series_equal(df.loc[df.new_col == 'new', 'time'], v) | ||
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| def test_indexing_with_datetimeindex_tz(self): | ||
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| # GH 12050 | ||
| # indexing on a series with a datetimeindex with tz | ||
| index = pd.date_range('2015-01-01', periods=2, tz='utc') | ||
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| ser = pd.Series(range(2), index=index, | ||
| dtype='int64') | ||
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| # list-like indexing | ||
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| for sel in (index, list(index)): | ||
| # getitem | ||
| tm.assert_series_equal(ser[sel], ser) | ||
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| # setitem | ||
| result = ser.copy() | ||
| result[sel] = 1 | ||
| expected = pd.Series(1, index=index) | ||
| tm.assert_series_equal(result, expected) | ||
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| # .loc getitem | ||
| tm.assert_series_equal(ser.loc[sel], ser) | ||
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| # .loc setitem | ||
| result = ser.copy() | ||
| result.loc[sel] = 1 | ||
| expected = pd.Series(1, index=index) | ||
| tm.assert_series_equal(result, expected) | ||
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| # single element indexing | ||
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| # getitem | ||
| self.assertEqual(ser[index[1]], 1) | ||
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| # setitem | ||
| result = ser.copy() | ||
| result[index[1]] = 5 | ||
| expected = pd.Series([0, 5], index=index) | ||
| tm.assert_series_equal(result, expected) | ||
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| # .loc getitem | ||
| self.assertEqual(ser.loc[index[1]], 1) | ||
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| # .loc setitem | ||
| result = ser.copy() | ||
| result.loc[index[1]] = 5 | ||
| expected = pd.Series([0, 5], index=index) | ||
| tm.assert_series_equal(result, expected) | ||
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| def test_partial_setting_with_datetimelike_dtype(self): | ||
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| # GH9478 | ||
| # a datetimeindex alignment issue with partial setting | ||
| df = pd.DataFrame(np.arange(6.).reshape(3, 2), columns=list('AB'), | ||
| index=pd.date_range('1/1/2000', periods=3, | ||
| freq='1H')) | ||
| expected = df.copy() | ||
| expected['C'] = [expected.index[0]] + [pd.NaT, pd.NaT] | ||
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| mask = df.A < 1 | ||
| df.loc[mask, 'C'] = df.loc[mask].index | ||
| tm.assert_frame_equal(df, expected) | ||
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| def test_loc_setitem_datetime(self): | ||
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| # GH 9516 | ||
| dt1 = Timestamp('20130101 09:00:00') | ||
| dt2 = Timestamp('20130101 10:00:00') | ||
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| for conv in [lambda x: x, lambda x: x.to_datetime64(), | ||
| lambda x: x.to_pydatetime(), lambda x: np.datetime64(x)]: | ||
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| df = pd.DataFrame() | ||
| df.loc[conv(dt1), 'one'] = 100 | ||
| df.loc[conv(dt2), 'one'] = 200 | ||
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| expected = DataFrame({'one': [100.0, 200.0]}, index=[dt1, dt2]) | ||
| tm.assert_frame_equal(df, expected) | ||
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| def test_series_partial_set_datetime(self): | ||
| # GH 11497 | ||
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| idx = date_range('2011-01-01', '2011-01-02', freq='D', name='idx') | ||
| ser = Series([0.1, 0.2], index=idx, name='s') | ||
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| result = ser.loc[[Timestamp('2011-01-01'), Timestamp('2011-01-02')]] | ||
| exp = Series([0.1, 0.2], index=idx, name='s') | ||
| tm.assert_series_equal(result, exp, check_index_type=True) | ||
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| keys = [Timestamp('2011-01-02'), Timestamp('2011-01-02'), | ||
| Timestamp('2011-01-01')] | ||
| exp = Series([0.2, 0.2, 0.1], index=pd.DatetimeIndex(keys, name='idx'), | ||
| name='s') | ||
| tm.assert_series_equal(ser.loc[keys], exp, check_index_type=True) | ||
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| keys = [Timestamp('2011-01-03'), Timestamp('2011-01-02'), | ||
| Timestamp('2011-01-03')] | ||
| exp = Series([np.nan, 0.2, np.nan], | ||
| index=pd.DatetimeIndex(keys, name='idx'), name='s') | ||
| tm.assert_series_equal(ser.loc[keys], exp, check_index_type=True) | ||
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| def test_series_partial_set_period(self): | ||
| # GH 11497 | ||
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| idx = pd.period_range('2011-01-01', '2011-01-02', freq='D', name='idx') | ||
| ser = Series([0.1, 0.2], index=idx, name='s') | ||
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| result = ser.loc[[pd.Period('2011-01-01', freq='D'), | ||
| pd.Period('2011-01-02', freq='D')]] | ||
| exp = Series([0.1, 0.2], index=idx, name='s') | ||
| tm.assert_series_equal(result, exp, check_index_type=True) | ||
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| keys = [pd.Period('2011-01-02', freq='D'), | ||
| pd.Period('2011-01-02', freq='D'), | ||
| pd.Period('2011-01-01', freq='D')] | ||
| exp = Series([0.2, 0.2, 0.1], index=pd.PeriodIndex(keys, name='idx'), | ||
| name='s') | ||
| tm.assert_series_equal(ser.loc[keys], exp, check_index_type=True) | ||
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| keys = [pd.Period('2011-01-03', freq='D'), | ||
| pd.Period('2011-01-02', freq='D'), | ||
| pd.Period('2011-01-03', freq='D')] | ||
| exp = Series([np.nan, 0.2, np.nan], | ||
| index=pd.PeriodIndex(keys, name='idx'), name='s') | ||
| result = ser.loc[keys] | ||
| tm.assert_series_equal(result, exp) |
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