Python frequencies.infer_freq方法代码示例

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def _check_tick(self, base_delta, code):
        b = Timestamp(datetime.now())
        for i in range(1, 5):
            inc = base_delta * i
            index = _dti([b + inc * j for j in range(3)])
            if i > 1:
                exp_freq = '%d%s' % (i, code)
            else:
                exp_freq = code
            assert frequencies.infer_freq(index) == exp_freq

        index = _dti([b + base_delta * 7] + [b + base_delta * j for j in range(
            3)])
        assert frequencies.infer_freq(index) is None

        index = _dti([b + base_delta * j for j in range(3)] + [b + base_delta *
                                                               7])

        assert frequencies.infer_freq(index) is None 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_raise_if_period_index(self):
        index = period_range(start="1/1/1990", periods=20, freq="M")
        pytest.raises(TypeError, frequencies.infer_freq, index) 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_raise_if_too_few(self):
        index = _dti(['12/31/1998', '1/3/1999'])
        pytest.raises(ValueError, frequencies.infer_freq, index) 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_business_daily(self):
        index = _dti(['01/01/1999', '1/4/1999', '1/5/1999'])
        assert frequencies.infer_freq(index) == 'B' 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_business_daily_look_alike(self):
        # GH 16624, do not infer 'B' when 'weekend' (2-day gap) in wrong place
        index = _dti(['12/31/1998', '1/3/1999', '1/4/1999'])
        assert frequencies.infer_freq(index) is None 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_day_corner(self):
        index = _dti(['1/1/2000', '1/2/2000', '1/3/2000'])
        assert frequencies.infer_freq(index) == 'D' 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_fifth_week_of_month_infer(self):
        # Only attempts to infer up to WOM-4. See #9425
        index = DatetimeIndex(["2014-03-31", "2014-06-30", "2015-03-30"])
        assert frequencies.infer_freq(index) is None 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_week_of_month_fake(self):
        # All of these dates are on same day of week and are 4 or 5 weeks apart
        index = DatetimeIndex(["2013-08-27", "2013-10-01", "2013-10-29",
                               "2013-11-26"])
        assert frequencies.infer_freq(index) != 'WOM-4TUE' 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def _check_generated_range(self, start, freq):
        freq = freq.upper()

        gen = date_range(start, periods=7, freq=freq)
        index = _dti(gen.values)
        if not freq.startswith('Q-'):
            assert frequencies.infer_freq(index) == gen.freqstr
        else:
            inf_freq = frequencies.infer_freq(index)
            is_dec_range = inf_freq == 'Q-DEC' and gen.freqstr in (
                'Q', 'Q-DEC', 'Q-SEP', 'Q-JUN', 'Q-MAR')
            is_nov_range = inf_freq == 'Q-NOV' and gen.freqstr in (
                'Q-NOV', 'Q-AUG', 'Q-MAY', 'Q-FEB')
            is_oct_range = inf_freq == 'Q-OCT' and gen.freqstr in (
                'Q-OCT', 'Q-JUL', 'Q-APR', 'Q-JAN')
            assert is_dec_range or is_nov_range or is_oct_range

        gen = date_range(start, periods=5, freq=freq)
        index = _dti(gen.values)

        if not freq.startswith('Q-'):
            assert frequencies.infer_freq(index) == gen.freqstr
        else:
            inf_freq = frequencies.infer_freq(index)
            is_dec_range = inf_freq == 'Q-DEC' and gen.freqstr in (
                'Q', 'Q-DEC', 'Q-SEP', 'Q-JUN', 'Q-MAR')
            is_nov_range = inf_freq == 'Q-NOV' and gen.freqstr in (
                'Q-NOV', 'Q-AUG', 'Q-MAY', 'Q-FEB')
            is_oct_range = inf_freq == 'Q-OCT' and gen.freqstr in (
                'Q-OCT', 'Q-JUL', 'Q-APR', 'Q-JAN')

            assert is_dec_range or is_nov_range or is_oct_range 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_non_datetimeindex2(self):
        rng = _dti(['1/31/2000', '1/31/2001', '1/31/2002'])

        vals = rng.to_pydatetime()

        result = frequencies.infer_freq(vals)
        assert result == rng.inferred_freq 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_string_datetimelike_compat(self):

        # GH 6463
        expected = frequencies.infer_freq(['2004-01', '2004-02', '2004-03',
                                           '2004-04'])
        result = frequencies.infer_freq(Index(['2004-01', '2004-02', '2004-03',
                                               '2004-04']))
        assert result == expected 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_series(self):

        # GH6407
        # inferring series

        # invalid type of Series
        for s in [Series(np.arange(10)), Series(np.arange(10.))]:
            pytest.raises(TypeError, lambda: frequencies.infer_freq(s))

        # a non-convertible string
        pytest.raises(ValueError, lambda: frequencies.infer_freq(
            Series(['foo', 'bar'])))

        # cannot infer on PeriodIndex
        for freq in [None, 'L']:
            s = Series(period_range('2013', periods=10, freq=freq))
            pytest.raises(TypeError, lambda: frequencies.infer_freq(s))

        # DateTimeIndex
        for freq in ['M', 'L', 'S']:
            s = Series(date_range('20130101', periods=10, freq=freq))
            inferred = frequencies.infer_freq(s)
            assert inferred == freq

        s = Series(date_range('20130101', '20130110'))
        inferred = frequencies.infer_freq(s)
        assert inferred == 'D' 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def inferred_freq(self):
        """
        Tryies to return a string representing a frequency guess,
        generated by infer_freq.  Returns None if it can't autodetect the
        frequency.
        """
        try:
            return frequencies.infer_freq(self)
        except ValueError:
            return None 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def test_raise_if_period_index(self):
        index = PeriodIndex(start="1/1/1990", periods=20, freq="M")
        pytest.raises(TypeError, frequencies.infer_freq, index) 

# 需要导入模块: from pandas.tseries import frequencies [as 别名]
# 或者: from pandas.tseries.frequencies import infer_freq [as 别名]
def inferred_freq(self):
        """
        Tries to return a string representing a frequency guess,
        generated by infer_freq.  Returns None if it can't autodetect the
        frequency.
        """
        try:
            return frequencies.infer_freq(self)
        except ValueError:
            return None