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How to use _convert method in localstack

Best Python code snippet using localstack_python

test_internals.py

Source:test_internals.py

...6import pandas._testing as tm7from pandas.core.internals.blocks import IntBlock8class TestSeriesInternals:9    # GH 1026510    def test_convert(self):11        # Tests: All to nans, coerce, true12        # Test coercion returns correct type13        s = Series(["a", "b", "c"])14        results = s._convert(datetime=True, coerce=True)15        expected = Series([NaT] * 3)16        tm.assert_series_equal(results, expected)17        results = s._convert(numeric=True, coerce=True)18        expected = Series([np.nan] * 3)19        tm.assert_series_equal(results, expected)20        expected = Series([NaT] * 3, dtype=np.dtype("m8[ns]"))21        results = s._convert(timedelta=True, coerce=True)22        tm.assert_series_equal(results, expected)23        dt = datetime(2001, 1, 1, 0, 0)24        td = dt - datetime(2000, 1, 1, 0, 0)25        # Test coercion with mixed types26        s = Series(["a", "3.1415", dt, td])27        results = s._convert(datetime=True, coerce=True)28        expected = Series([NaT, NaT, dt, NaT])29        tm.assert_series_equal(results, expected)30        results = s._convert(numeric=True, coerce=True)31        expected = Series([np.nan, 3.1415, np.nan, np.nan])32        tm.assert_series_equal(results, expected)33        results = s._convert(timedelta=True, coerce=True)34        expected = Series([NaT, NaT, NaT, td], dtype=np.dtype("m8[ns]"))35        tm.assert_series_equal(results, expected)36        # Test standard conversion returns original37        results = s._convert(datetime=True)38        tm.assert_series_equal(results, s)39        results = s._convert(numeric=True)40        expected = Series([np.nan, 3.1415, np.nan, np.nan])41        tm.assert_series_equal(results, expected)42        results = s._convert(timedelta=True)43        tm.assert_series_equal(results, s)44        # test pass-through and non-conversion when other types selected45        s = Series(["1.0", "2.0", "3.0"])46        results = s._convert(datetime=True, numeric=True, timedelta=True)47        expected = Series([1.0, 2.0, 3.0])48        tm.assert_series_equal(results, expected)49        results = s._convert(True, False, True)50        tm.assert_series_equal(results, s)51        s = Series([datetime(2001, 1, 1, 0, 0), datetime(2001, 1, 1, 0, 0)], dtype="O")52        results = s._convert(datetime=True, numeric=True, timedelta=True)53        expected = Series([datetime(2001, 1, 1, 0, 0), datetime(2001, 1, 1, 0, 0)])54        tm.assert_series_equal(results, expected)55        results = s._convert(datetime=False, numeric=True, timedelta=True)56        tm.assert_series_equal(results, s)57        td = datetime(2001, 1, 1, 0, 0) - datetime(2000, 1, 1, 0, 0)58        s = Series([td, td], dtype="O")59        results = s._convert(datetime=True, numeric=True, timedelta=True)60        expected = Series([td, td])61        tm.assert_series_equal(results, expected)62        results = s._convert(True, True, False)63        tm.assert_series_equal(results, s)64        s = Series([1.0, 2, 3], index=["a", "b", "c"])65        result = s._convert(numeric=True)66        tm.assert_series_equal(result, s)67        # force numeric conversion68        r = s.copy().astype("O")69        r["a"] = "1"70        result = r._convert(numeric=True)71        tm.assert_series_equal(result, s)72        r = s.copy().astype("O")73        r["a"] = "1."74        result = r._convert(numeric=True)75        tm.assert_series_equal(result, s)76        r = s.copy().astype("O")77        r["a"] = "garbled"78        result = r._convert(numeric=True)79        expected = s.copy()80        expected["a"] = np.nan81        tm.assert_series_equal(result, expected)82        # GH 4119, not converting a mixed type (e.g.floats and object)83        s = Series([1, "na", 3, 4])84        result = s._convert(datetime=True, numeric=True)85        expected = Series([1, np.nan, 3, 4])86        tm.assert_series_equal(result, expected)87        s = Series([1, "", 3, 4])88        result = s._convert(datetime=True, numeric=True)89        tm.assert_series_equal(result, expected)90        # dates91        s = Series(92            [93                datetime(2001, 1, 1, 0, 0),94                datetime(2001, 1, 2, 0, 0),95                datetime(2001, 1, 3, 0, 0),96            ]97        )98        s2 = Series(99            [100                datetime(2001, 1, 1, 0, 0),101                datetime(2001, 1, 2, 0, 0),102                datetime(2001, 1, 3, 0, 0),103                "foo",104                1.0,105                1,106                Timestamp("20010104"),107                "20010105",108            ],109            dtype="O",110        )111        result = s._convert(datetime=True)112        expected = Series(113            [Timestamp("20010101"), Timestamp("20010102"), Timestamp("20010103")],114            dtype="M8[ns]",115        )116        tm.assert_series_equal(result, expected)117        result = s._convert(datetime=True, coerce=True)118        tm.assert_series_equal(result, expected)119        expected = Series(120            [121                Timestamp("20010101"),122                Timestamp("20010102"),123                Timestamp("20010103"),124                NaT,125                NaT,126                NaT,127                Timestamp("20010104"),128                Timestamp("20010105"),129            ],130            dtype="M8[ns]",131        )132        result = s2._convert(datetime=True, numeric=False, timedelta=False, coerce=True)133        tm.assert_series_equal(result, expected)134        result = s2._convert(datetime=True, coerce=True)135        tm.assert_series_equal(result, expected)136        s = Series(["foo", "bar", 1, 1.0], dtype="O")137        result = s._convert(datetime=True, coerce=True)138        expected = Series([NaT] * 2 + [Timestamp(1)] * 2)139        tm.assert_series_equal(result, expected)140        # preserver if non-object141        s = Series([1], dtype="float32")142        result = s._convert(datetime=True, coerce=True)143        tm.assert_series_equal(result, s)144        # FIXME: dont leave commented-out145        # r = s.copy()146        # r[0] = np.nan147        # result = r._convert(convert_dates=True,convert_numeric=False)148        # assert result.dtype == 'M8[ns]'149        # dateutil parses some single letters into today's value as a date150        expected = Series([NaT])151        for x in "abcdefghijklmnopqrstuvwxyz":152            s = Series([x])153            result = s._convert(datetime=True, coerce=True)154            tm.assert_series_equal(result, expected)155            s = Series([x.upper()])156            result = s._convert(datetime=True, coerce=True)157            tm.assert_series_equal(result, expected)158    def test_convert_no_arg_error(self):159        s = Series(["1.0", "2"])160        msg = r"At least one of datetime, numeric or timedelta must be True\."161        with pytest.raises(ValueError, match=msg):162            s._convert()163    def test_convert_preserve_bool(self):164        s = Series([1, True, 3, 5], dtype=object)165        r = s._convert(datetime=True, numeric=True)166        e = Series([1, 1, 3, 5], dtype="i8")167        tm.assert_series_equal(r, e)168    def test_convert_preserve_all_bool(self):169        s = Series([False, True, False, False], dtype=object)170        r = s._convert(datetime=True, numeric=True)171        e = Series([False, True, False, False], dtype=bool)172        tm.assert_series_equal(r, e)173    def test_constructor_no_pandas_array(self):174        ser = pd.Series([1, 2, 3])175        result = pd.Series(ser.array)176        tm.assert_series_equal(ser, result)177        assert isinstance(result._mgr.blocks[0], IntBlock)178    def test_astype_no_pandas_dtype(self):179        # https://github.com/pandas-dev/pandas/pull/24866180        ser = pd.Series([1, 2], dtype="int64")181        # Don't have PandasDtype in the public API, so we use `.array.dtype`,182        # which is a PandasDtype.183        result = ser.astype(ser.array.dtype)184        tm.assert_series_equal(result, ser)...

test_convert.py

Source:test_convert.py

...6    Timestamp,7)8import pandas._testing as tm9class TestConvert:10    def test_convert(self):11        # GH#1026512        dt = datetime(2001, 1, 1, 0, 0)13        td = dt - datetime(2000, 1, 1, 0, 0)14        # Test coercion with mixed types15        ser = Series(["a", "3.1415", dt, td])16        results = ser._convert(numeric=True)17        expected = Series([np.nan, 3.1415, np.nan, np.nan])18        tm.assert_series_equal(results, expected)19        # Test standard conversion returns original20        results = ser._convert(datetime=True)21        tm.assert_series_equal(results, ser)22        results = ser._convert(numeric=True)23        expected = Series([np.nan, 3.1415, np.nan, np.nan])24        tm.assert_series_equal(results, expected)25        results = ser._convert(timedelta=True)26        tm.assert_series_equal(results, ser)27        # test pass-through and non-conversion when other types selected28        ser = Series(["1.0", "2.0", "3.0"])29        results = ser._convert(datetime=True, numeric=True, timedelta=True)30        expected = Series([1.0, 2.0, 3.0])31        tm.assert_series_equal(results, expected)32        results = ser._convert(True, False, True)33        tm.assert_series_equal(results, ser)34        ser = Series(35            [datetime(2001, 1, 1, 0, 0), datetime(2001, 1, 1, 0, 0)], dtype="O"36        )37        results = ser._convert(datetime=True, numeric=True, timedelta=True)38        expected = Series([datetime(2001, 1, 1, 0, 0), datetime(2001, 1, 1, 0, 0)])39        tm.assert_series_equal(results, expected)40        results = ser._convert(datetime=False, numeric=True, timedelta=True)41        tm.assert_series_equal(results, ser)42        td = datetime(2001, 1, 1, 0, 0) - datetime(2000, 1, 1, 0, 0)43        ser = Series([td, td], dtype="O")44        results = ser._convert(datetime=True, numeric=True, timedelta=True)45        expected = Series([td, td])46        tm.assert_series_equal(results, expected)47        results = ser._convert(True, True, False)48        tm.assert_series_equal(results, ser)49        ser = Series([1.0, 2, 3], index=["a", "b", "c"])50        result = ser._convert(numeric=True)51        tm.assert_series_equal(result, ser)52        # force numeric conversion53        res = ser.copy().astype("O")54        res["a"] = "1"55        result = res._convert(numeric=True)56        tm.assert_series_equal(result, ser)57        res = ser.copy().astype("O")58        res["a"] = "1."59        result = res._convert(numeric=True)60        tm.assert_series_equal(result, ser)61        res = ser.copy().astype("O")62        res["a"] = "garbled"63        result = res._convert(numeric=True)64        expected = ser.copy()65        expected["a"] = np.nan66        tm.assert_series_equal(result, expected)67        # GH 4119, not converting a mixed type (e.g.floats and object)68        ser = Series([1, "na", 3, 4])69        result = ser._convert(datetime=True, numeric=True)70        expected = Series([1, np.nan, 3, 4])71        tm.assert_series_equal(result, expected)72        ser = Series([1, "", 3, 4])73        result = ser._convert(datetime=True, numeric=True)74        tm.assert_series_equal(result, expected)75        # dates76        ser = Series(77            [78                datetime(2001, 1, 1, 0, 0),79                datetime(2001, 1, 2, 0, 0),80                datetime(2001, 1, 3, 0, 0),81            ]82        )83        result = ser._convert(datetime=True)84        expected = Series(85            [Timestamp("20010101"), Timestamp("20010102"), Timestamp("20010103")],86            dtype="M8[ns]",87        )88        tm.assert_series_equal(result, expected)89        result = ser._convert(datetime=True)90        tm.assert_series_equal(result, expected)91        # preserver if non-object92        ser = Series([1], dtype="float32")93        result = ser._convert(datetime=True)94        tm.assert_series_equal(result, ser)95        # FIXME: dont leave commented-out96        # res = ser.copy()97        # r[0] = np.nan98        # result = res._convert(convert_dates=True,convert_numeric=False)99        # assert result.dtype == 'M8[ns]'100    def test_convert_no_arg_error(self):101        ser = Series(["1.0", "2"])102        msg = r"At least one of datetime, numeric or timedelta must be True\."103        with pytest.raises(ValueError, match=msg):104            ser._convert()105    def test_convert_preserve_bool(self):106        ser = Series([1, True, 3, 5], dtype=object)107        res = ser._convert(datetime=True, numeric=True)108        expected = Series([1, 1, 3, 5], dtype="i8")109        tm.assert_series_equal(res, expected)110    def test_convert_preserve_all_bool(self):111        ser = Series([False, True, False, False], dtype=object)112        res = ser._convert(datetime=True, numeric=True)113        expected = Series([False, True, False, False], dtype=bool)...

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