Python parse_date_time Examples

Example #1

File: test_date_converters.py Project: mindw/pandas

    def test_parse_date_time(self):
        result = conv.parse_date_time(self.dates, self.times)
        self.assert_((result == self.expected).all())

        data = """\
date, time, a, b
2001-01-05, 10:00:00, 0.0, 10.
2001-01-05, 00:00:00, 1., 11.
"""
        datecols = {'date_time': [0, 1]}
        df = read_table(StringIO(data),
                        sep=',',
                        header=0,
                        parse_dates=datecols,
                        date_parser=conv.parse_date_time)
        self.assert_('date_time' in df)
        self.assertEqual(df.date_time.ix[0], datetime(2001, 1, 5, 10, 0, 0))

        data = ("KORD,19990127, 19:00:00, 18:56:00, 0.8100\n"
                "KORD,19990127, 20:00:00, 19:56:00, 0.0100\n"
                "KORD,19990127, 21:00:00, 20:56:00, -0.5900\n"
                "KORD,19990127, 21:00:00, 21:18:00, -0.9900\n"
                "KORD,19990127, 22:00:00, 21:56:00, -0.5900\n"
                "KORD,19990127, 23:00:00, 22:56:00, -0.5900")

        date_spec = {'nominal': [1, 2], 'actual': [1, 3]}
        df = read_csv(StringIO(data),
                      header=None,
                      parse_dates=date_spec,
                      date_parser=conv.parse_date_time)

Example #2

File: parse_dates.py Project: mwaskom/pandas

    def test_parse_date_time(self):
        dates = np.array(['2007/1/3', '2008/2/4'], dtype=object)
        times = np.array(['05:07:09', '06:08:00'], dtype=object)
        expected = np.array([datetime(2007, 1, 3, 5, 7, 9),
                             datetime(2008, 2, 4, 6, 8, 0)])

        result = conv.parse_date_time(dates, times)
        assert (result == expected).all()

        data = """\
date, time, a, b
2001-01-05, 10:00:00, 0.0, 10.
2001-01-05, 00:00:00, 1., 11.
"""
        datecols = {'date_time': [0, 1]}
        df = self.read_csv(StringIO(data), sep=',', header=0,
                           parse_dates=datecols,
                           date_parser=conv.parse_date_time)
        assert 'date_time' in df
        assert df.date_time.loc[0] == datetime(2001, 1, 5, 10, 0, 0)

        data = ("KORD,19990127, 19:00:00, 18:56:00, 0.8100\n"
                "KORD,19990127, 20:00:00, 19:56:00, 0.0100\n"
                "KORD,19990127, 21:00:00, 20:56:00, -0.5900\n"
                "KORD,19990127, 21:00:00, 21:18:00, -0.9900\n"
                "KORD,19990127, 22:00:00, 21:56:00, -0.5900\n"
                "KORD,19990127, 23:00:00, 22:56:00, -0.5900")

        date_spec = {'nominal': [1, 2], 'actual': [1, 3]}
        df = self.read_csv(StringIO(data), header=None, parse_dates=date_spec,
                           date_parser=conv.parse_date_time)

Example #3

File: test_date_converters.py Project: Barneyjm/pandas

    def test_parse_date_time(self):
        result = conv.parse_date_time(self.dates, self.times)
        self.assert_((result == self.expected).all())

        data = """\
date, time, a, b
2001-01-05, 10:00:00, 0.0, 10.
2001-01-05, 00:00:00, 1., 11.
"""
        datecols = {'date_time': [0, 1]}
        df = read_table(StringIO(data), sep=',', header=0,
                        parse_dates=datecols, date_parser=conv.parse_date_time)
        self.assert_('date_time' in df)
        self.assert_(df.date_time.ix[0] == datetime(2001, 1, 5, 10, 0, 0))

        data = ("KORD,19990127, 19:00:00, 18:56:00, 0.8100\n"
                "KORD,19990127, 20:00:00, 19:56:00, 0.0100\n"
                "KORD,19990127, 21:00:00, 20:56:00, -0.5900\n"
                "KORD,19990127, 21:00:00, 21:18:00, -0.9900\n"
                "KORD,19990127, 22:00:00, 21:56:00, -0.5900\n"
                "KORD,19990127, 23:00:00, 22:56:00, -0.5900")

        date_spec = {'nominal': [1, 2], 'actual': [1, 3]}
        df = read_csv(StringIO(data), header=None, parse_dates=date_spec,
                      date_parser=conv.parse_date_time)

Example #4

File: parse_dates.py Project: Ajayvikram10/cmpe-285-stock-suggestor

    def test_parse_date_time(self):
        dates = np.array(['2007/1/3', '2008/2/4'], dtype=object)
        times = np.array(['05:07:09', '06:08:00'], dtype=object)
        expected = np.array([datetime(2007, 1, 3, 5, 7, 9),
                             datetime(2008, 2, 4, 6, 8, 0)])

        result = conv.parse_date_time(dates, times)
        assert (result == expected).all()

        data = """\
date, time, a, b
2001-01-05, 10:00:00, 0.0, 10.
2001-01-05, 00:00:00, 1., 11.
"""
        datecols = {'date_time': [0, 1]}
        df = self.read_csv(StringIO(data), sep=',', header=0,
                           parse_dates=datecols,
                           date_parser=conv.parse_date_time)
        assert 'date_time' in df
        assert df.date_time.loc[0] == datetime(2001, 1, 5, 10, 0, 0)

        data = ("KORD,19990127, 19:00:00, 18:56:00, 0.8100\n"
                "KORD,19990127, 20:00:00, 19:56:00, 0.0100\n"
                "KORD,19990127, 21:00:00, 20:56:00, -0.5900\n"
                "KORD,19990127, 21:00:00, 21:18:00, -0.9900\n"
                "KORD,19990127, 22:00:00, 21:56:00, -0.5900\n"
                "KORD,19990127, 23:00:00, 22:56:00, -0.5900")

        date_spec = {'nominal': [1, 2], 'actual': [1, 3]}
        df = self.read_csv(StringIO(data), header=None, parse_dates=date_spec,
                           date_parser=conv.parse_date_time)

Example #5

def test_parse_date_time():
    dates = np.array(["2007/1/3", "2008/2/4"], dtype=object)
    times = np.array(["05:07:09", "06:08:00"], dtype=object)
    expected = np.array([datetime(2007, 1, 3, 5, 7, 9), datetime(2008, 2, 4, 6, 8, 0)])

    result = conv.parse_date_time(dates, times)
    tm.assert_numpy_array_equal(result, expected)

Example #6

File: test_date_converters.py Project: DusanMilunovic/pandas

def test_parse_date_time():
    dates = np.array(['2007/1/3', '2008/2/4'], dtype=object)
    times = np.array(['05:07:09', '06:08:00'], dtype=object)
    expected = np.array([datetime(2007, 1, 3, 5, 7, 9),
                         datetime(2008, 2, 4, 6, 8, 0)])

    result = conv.parse_date_time(dates, times)
    tm.assert_numpy_array_equal(result, expected)

Example #7

File: test_date_converters.py Project: mattyhk/basketball-django

    def test_parse_date_time(self):
        result = conv.parse_date_time(self.dates, self.times)
        self.assert_((result == self.expected).all())

        data = """\
date, time, a, b
2001-01-05, 10:00:00, 0.0, 10.
2001-01-05, 00:00:00, 1., 11.
"""
        datecols = {"date_time": [0, 1]}
        df = read_table(StringIO(data), sep=",", header=0, parse_dates=datecols, date_parser=conv.parse_date_time)
        self.assert_("date_time" in df)
        self.assert_(df.date_time.ix[0] == datetime(2001, 1, 5, 10, 0, 0))