Method asfreq

pandas/core/resample.py:1057–1097

Return the values at the new freq, essentially a reindex. Parameters ---------- fill_value : scalar, optional Value to use for missing values, applied during upsampling (note this does not fill NaNs that already were present). Return

(self, fill_value=None)

    @final
    def asfreq(self, fill_value=None):
        """
        Return the values at the new freq, essentially a reindex.

        Parameters
        ----------
        fill_value : scalar, optional
            Value to use for missing values, applied during upsampling (note
            this does not fill NaNs that already were present).

        Returns
        -------
        DataFrame or Series
            Values at the specified freq.

        See Also
        --------
        Series.asfreq: Convert TimeSeries to specified frequency.
        DataFrame.asfreq: Convert TimeSeries to specified frequency.

        Examples
        --------

        >>> ser = pd.Series(
        ...     [1, 2, 3, 4],
        ...     index=pd.DatetimeIndex(
        ...         ["2023-01-01", "2023-01-31", "2023-02-01", "2023-02-28"]
        ...     ),
        ... )
        >>> ser
        2023-01-01    1
        2023-01-31    2
        2023-02-01    3
        2023-02-28    4
        dtype: int64
        >>> ser.resample("MS").asfreq()
        2023-01-01    1
        2023-02-01    3
        Freq: MS, dtype: int64
        """
        return self._upsample("asfreq", fill_value=fill_value)

    @final
    def sum(