Пример #1
0
    def asfreq(self, freq=None, how='E'):
        """
        Convert the PeriodIndex to the specified frequency `freq`.

        Parameters
        ----------

        freq : str
            a frequency
        how : str {'E', 'S'}
            'E', 'END', or 'FINISH' for end,
            'S', 'START', or 'BEGIN' for start.
            Whether the elements should be aligned to the end
            or start within pa period. January 31st ('END') vs.
            Janury 1st ('START') for example.

        Returns
        -------

        new : PeriodIndex with the new frequency

        Examples
        --------
        >>> pidx = pd.period_range('2010-01-01', '2015-01-01', freq='A')
        >>> pidx
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010, ..., 2015]
        Length: 6, Freq: A-DEC

        >>> pidx.asfreq('M')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-12, ..., 2015-12]
        Length: 6, Freq: M

        >>> pidx.asfreq('M', how='S')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-01, ..., 2015-01]
        Length: 6, Freq: M
        """
        how = _validate_end_alias(how)

        freq = Period._maybe_convert_freq(freq)

        base1, mult1 = _gfc(self.freq)
        base2, mult2 = _gfc(freq)

        asi8 = self.asi8
        # mult1 can't be negative or 0
        end = how == 'E'
        if end:
            ordinal = asi8 + mult1 - 1
        else:
            ordinal = asi8

        new_data = period.period_asfreq_arr(ordinal, base1, base2, end)

        if self.hasnans:
            new_data[self._isnan] = tslib.iNaT

        return self._simple_new(new_data, self.name, freq=freq)
Пример #2
0
    def to_timestamp(self, freq=None, how='start'):
        """
        Cast to DatetimeIndex

        Parameters
        ----------
        freq : string or DateOffset, default 'D' for week or longer, 'S'
               otherwise
            Target frequency
        how : {'s', 'e', 'start', 'end'}

        Returns
        -------
        DatetimeIndex
        """
        how = _validate_end_alias(how)

        if freq is None:
            base, mult = _gfc(self.freq)
            freq = frequencies.get_to_timestamp_base(base)
        else:
            freq = Period._maybe_convert_freq(freq)

        base, mult = _gfc(freq)
        new_data = self.asfreq(freq, how)

        new_data = period.periodarr_to_dt64arr(new_data._values, base)
        return DatetimeIndex(new_data, freq='infer', name=self.name)
Пример #3
0
    def to_timestamp(self, freq=None, how='start'):
        """
        Cast to DatetimeIndex

        Parameters
        ----------
        freq : string or DateOffset, default 'D' for week or longer, 'S'
               otherwise
            Target frequency
        how : {'s', 'e', 'start', 'end'}

        Returns
        -------
        DatetimeIndex
        """
        how = _validate_end_alias(how)

        if freq is None:
            base, mult = _gfc(self.freq)
            freq = frequencies.get_to_timestamp_base(base)
        else:
            freq = Period._maybe_convert_freq(freq)

        base, mult = _gfc(freq)
        new_data = self.asfreq(freq, how)

        new_data = period.periodarr_to_dt64arr(new_data.values, base)
        return DatetimeIndex(new_data, freq='infer', name=self.name)
Пример #4
0
    def asfreq(self, freq=None, how='E'):
        """
        Convert the PeriodIndex to the specified frequency `freq`.

        Parameters
        ----------

        freq : str
            a frequency
        how : str {'E', 'S'}
            'E', 'END', or 'FINISH' for end,
            'S', 'START', or 'BEGIN' for start.
            Whether the elements should be aligned to the end
            or start within pa period. January 31st ('END') vs.
            Janury 1st ('START') for example.

        Returns
        -------

        new : PeriodIndex with the new frequency

        Examples
        --------
        >>> pidx = pd.period_range('2010-01-01', '2015-01-01', freq='A')
        >>> pidx
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010, ..., 2015]
        Length: 6, Freq: A-DEC

        >>> pidx.asfreq('M')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-12, ..., 2015-12]
        Length: 6, Freq: M

        >>> pidx.asfreq('M', how='S')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-01, ..., 2015-01]
        Length: 6, Freq: M
        """
        how = _validate_end_alias(how)

        freq = Period._maybe_convert_freq(freq)

        base1, mult1 = _gfc(self.freq)
        base2, mult2 = _gfc(freq)

        asi8 = self.asi8
        # mult1 can't be negative or 0
        end = how == 'E'
        if end:
            ordinal = asi8 + mult1 - 1
        else:
            ordinal = asi8

        new_data = period.period_asfreq_arr(ordinal, base1, base2, end)

        if self.hasnans:
            new_data[self._isnan] = tslib.iNaT

        return self._simple_new(new_data, self.name, freq=freq)
Пример #5
0
    def asfreq(self, freq=None, how='E'):
        """
        Convert the PeriodIndex to the specified frequency `freq`.

        Parameters
        ----------

        freq : str
            a frequency
        how : str {'E', 'S'}
            'E', 'END', or 'FINISH' for end,
            'S', 'START', or 'BEGIN' for start.
            Whether the elements should be aligned to the end
            or start within pa period. January 31st ('END') vs.
            Janury 1st ('START') for example.

        Returns
        -------

        new : PeriodIndex with the new frequency

        Examples
        --------
        >>> pidx = pd.period_range('2010-01-01', '2015-01-01', freq='A')
        >>> pidx
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010, ..., 2015]
        Length: 6, Freq: A-DEC

        >>> pidx.asfreq('M')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-12, ..., 2015-12]
        Length: 6, Freq: M

        >>> pidx.asfreq('M', how='S')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-01, ..., 2015-01]
        Length: 6, Freq: M
        """
        how = _validate_end_alias(how)

        freq = frequencies.get_standard_freq(freq)

        base1, mult1 = _gfc(self.freq)
        base2, mult2 = _gfc(freq)

        if mult2 != 1:
            raise ValueError('Only mult == 1 supported')

        end = how == 'E'
        new_data = period.period_asfreq_arr(self.values, base1, base2, end)
        return self._simple_new(new_data, self.name, freq=freq)
Пример #6
0
    def asfreq(self, freq=None, how='E'):
        """
        Convert the PeriodIndex to the specified frequency `freq`.

        Parameters
        ----------

        freq : str
            a frequency
        how : str {'E', 'S'}
            'E', 'END', or 'FINISH' for end,
            'S', 'START', or 'BEGIN' for start.
            Whether the elements should be aligned to the end
            or start within pa period. January 31st ('END') vs.
            Janury 1st ('START') for example.

        Returns
        -------

        new : PeriodIndex with the new frequency

        Examples
        --------
        >>> pidx = pd.period_range('2010-01-01', '2015-01-01', freq='A')
        >>> pidx
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010, ..., 2015]
        Length: 6, Freq: A-DEC

        >>> pidx.asfreq('M')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-12, ..., 2015-12]
        Length: 6, Freq: M

        >>> pidx.asfreq('M', how='S')
        <class 'pandas.tseries.period.PeriodIndex'>
        [2010-01, ..., 2015-01]
        Length: 6, Freq: M
        """
        how = _validate_end_alias(how)

        freq = frequencies.get_standard_freq(freq)

        base1, mult1 = _gfc(self.freq)
        base2, mult2 = _gfc(freq)

        if mult2 != 1:
            raise ValueError('Only mult == 1 supported')

        end = how == 'E'
        new_data = period.period_asfreq_arr(self.values, base1, base2, end)
        return self._simple_new(new_data, self.name, freq=freq)
Пример #7
0
    def asfreq(self, freq=None, how='E'):
        how = _validate_end_alias(how)

        freq = frequencies.get_standard_freq(freq)

        base1, mult1 = _gfc(self.freq)
        base2, mult2 = _gfc(freq)

        if mult2 != 1:
            raise ValueError('Only mult == 1 supported')

        end = how == 'E'
        new_data = period.period_asfreq_arr(self.values, base1, base2, end)
        return self._simple_new(new_data, self.name, freq=freq)