|
| 1 | +import numpy as np |
| 2 | + |
| 3 | +import pandas as pd |
| 4 | +import pandas.util.testing as tm |
| 5 | +from pandas import (DatetimeIndex, date_range, Series, NaT, Index, Timestamp, |
| 6 | + Int64Index) |
| 7 | + |
| 8 | + |
| 9 | +class TestDatetimeIndex(tm.TestCase): |
| 10 | + _multiprocess_can_split_ = True |
| 11 | + |
| 12 | + def test_astype(self): |
| 13 | + # GH 13149, GH 13209 |
| 14 | + idx = DatetimeIndex(['2016-05-16', 'NaT', NaT, np.NaN]) |
| 15 | + |
| 16 | + result = idx.astype(object) |
| 17 | + expected = Index([Timestamp('2016-05-16')] + [NaT] * 3, dtype=object) |
| 18 | + tm.assert_index_equal(result, expected) |
| 19 | + |
| 20 | + result = idx.astype(int) |
| 21 | + expected = Int64Index([1463356800000000000] + |
| 22 | + [-9223372036854775808] * 3, dtype=np.int64) |
| 23 | + tm.assert_index_equal(result, expected) |
| 24 | + |
| 25 | + rng = date_range('1/1/2000', periods=10) |
| 26 | + result = rng.astype('i8') |
| 27 | + self.assert_index_equal(result, Index(rng.asi8)) |
| 28 | + self.assert_numpy_array_equal(result.values, rng.asi8) |
| 29 | + |
| 30 | + def test_astype_with_tz(self): |
| 31 | + |
| 32 | + # with tz |
| 33 | + rng = date_range('1/1/2000', periods=10, tz='US/Eastern') |
| 34 | + result = rng.astype('datetime64[ns]') |
| 35 | + expected = (date_range('1/1/2000', periods=10, |
| 36 | + tz='US/Eastern') |
| 37 | + .tz_convert('UTC').tz_localize(None)) |
| 38 | + tm.assert_index_equal(result, expected) |
| 39 | + |
| 40 | + # BUG#10442 : testing astype(str) is correct for Series/DatetimeIndex |
| 41 | + result = pd.Series(pd.date_range('2012-01-01', periods=3)).astype(str) |
| 42 | + expected = pd.Series( |
| 43 | + ['2012-01-01', '2012-01-02', '2012-01-03'], dtype=object) |
| 44 | + tm.assert_series_equal(result, expected) |
| 45 | + |
| 46 | + result = Series(pd.date_range('2012-01-01', periods=3, |
| 47 | + tz='US/Eastern')).astype(str) |
| 48 | + expected = Series(['2012-01-01 00:00:00-05:00', |
| 49 | + '2012-01-02 00:00:00-05:00', |
| 50 | + '2012-01-03 00:00:00-05:00'], |
| 51 | + dtype=object) |
| 52 | + tm.assert_series_equal(result, expected) |
| 53 | + |
| 54 | + def test_astype_str_compat(self): |
| 55 | + # GH 13149, GH 13209 |
| 56 | + # verify that we are returing NaT as a string (and not unicode) |
| 57 | + |
| 58 | + idx = DatetimeIndex(['2016-05-16', 'NaT', NaT, np.NaN]) |
| 59 | + result = idx.astype(str) |
| 60 | + expected = Index(['2016-05-16', 'NaT', 'NaT', 'NaT'], dtype=object) |
| 61 | + tm.assert_index_equal(result, expected) |
| 62 | + |
| 63 | + def test_astype_str(self): |
| 64 | + # test astype string - #10442 |
| 65 | + result = date_range('2012-01-01', periods=4, |
| 66 | + name='test_name').astype(str) |
| 67 | + expected = Index(['2012-01-01', '2012-01-02', '2012-01-03', |
| 68 | + '2012-01-04'], name='test_name', dtype=object) |
| 69 | + tm.assert_index_equal(result, expected) |
| 70 | + |
| 71 | + # test astype string with tz and name |
| 72 | + result = date_range('2012-01-01', periods=3, name='test_name', |
| 73 | + tz='US/Eastern').astype(str) |
| 74 | + expected = Index(['2012-01-01 00:00:00-05:00', |
| 75 | + '2012-01-02 00:00:00-05:00', |
| 76 | + '2012-01-03 00:00:00-05:00'], |
| 77 | + name='test_name', dtype=object) |
| 78 | + tm.assert_index_equal(result, expected) |
| 79 | + |
| 80 | + # test astype string with freqH and name |
| 81 | + result = date_range('1/1/2011', periods=3, freq='H', |
| 82 | + name='test_name').astype(str) |
| 83 | + expected = Index(['2011-01-01 00:00:00', '2011-01-01 01:00:00', |
| 84 | + '2011-01-01 02:00:00'], |
| 85 | + name='test_name', dtype=object) |
| 86 | + tm.assert_index_equal(result, expected) |
| 87 | + |
| 88 | + # test astype string with freqH and timezone |
| 89 | + result = date_range('3/6/2012 00:00', periods=2, freq='H', |
| 90 | + tz='Europe/London', name='test_name').astype(str) |
| 91 | + expected = Index(['2012-03-06 00:00:00+00:00', |
| 92 | + '2012-03-06 01:00:00+00:00'], |
| 93 | + dtype=object, name='test_name') |
| 94 | + tm.assert_index_equal(result, expected) |
| 95 | + |
| 96 | + def test_astype_datetime64(self): |
| 97 | + # GH 13149, GH 13209 |
| 98 | + idx = DatetimeIndex(['2016-05-16', 'NaT', NaT, np.NaN]) |
| 99 | + |
| 100 | + result = idx.astype('datetime64[ns]') |
| 101 | + tm.assert_index_equal(result, idx) |
| 102 | + self.assertFalse(result is idx) |
| 103 | + |
| 104 | + result = idx.astype('datetime64[ns]', copy=False) |
| 105 | + tm.assert_index_equal(result, idx) |
| 106 | + self.assertTrue(result is idx) |
| 107 | + |
| 108 | + idx_tz = DatetimeIndex(['2016-05-16', 'NaT', NaT, np.NaN], tz='EST') |
| 109 | + result = idx_tz.astype('datetime64[ns]') |
| 110 | + expected = DatetimeIndex(['2016-05-16 05:00:00', 'NaT', 'NaT', 'NaT'], |
| 111 | + dtype='datetime64[ns]') |
| 112 | + tm.assert_index_equal(result, expected) |
| 113 | + |
| 114 | + def test_astype_raises(self): |
| 115 | + # GH 13149, GH 13209 |
| 116 | + idx = DatetimeIndex(['2016-05-16', 'NaT', NaT, np.NaN]) |
| 117 | + |
| 118 | + self.assertRaises(ValueError, idx.astype, float) |
| 119 | + self.assertRaises(ValueError, idx.astype, 'timedelta64') |
| 120 | + self.assertRaises(ValueError, idx.astype, 'timedelta64[ns]') |
| 121 | + self.assertRaises(ValueError, idx.astype, 'datetime64') |
| 122 | + self.assertRaises(ValueError, idx.astype, 'datetime64[D]') |
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