def at_time(self, time, asof=False, axis=None):
    "\n        Select values at particular time of day (e.g. 9:30AM).\n\n        Parameters\n        ----------\n        time : datetime.time or str\n        axis : {0 or 'index', 1 or 'columns'}, default 0\n\n            .. versionadded:: 0.24.0\n\n        Returns\n        -------\n        Series or DataFrame\n\n        Raises\n        ------\n        TypeError\n            If the index is not  a :class:`DatetimeIndex`\n\n        See Also\n        --------\n        between_time : Select values between particular times of the day.\n        first : Select initial periods of time series based on a date offset.\n        last : Select final periods of time series based on a date offset.\n        DatetimeIndex.indexer_at_time : Get just the index locations for\n            values at particular time of the day.\n\n        Examples\n        --------\n        >>> i = pd.date_range('2018-04-09', periods=4, freq='12H')\n        >>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)\n        >>> ts\n                             A\n        2018-04-09 00:00:00  1\n        2018-04-09 12:00:00  2\n        2018-04-10 00:00:00  3\n        2018-04-10 12:00:00  4\n\n        >>> ts.at_time('12:00')\n                             A\n        2018-04-09 12:00:00  2\n        2018-04-10 12:00:00  4\n        "
    if (axis is None):
        axis = self._stat_axis_number
    axis = self._get_axis_number(axis)
    index = self._get_axis(axis)
    try:
        indexer = index.indexer_at_time(time, asof=asof)
    except AttributeError:
        raise TypeError('Index must be DatetimeIndex')
    return self._take(indexer, axis=axis)
Select values at particular time of day (e.g. 9:30AM).

Parameters
----------
time : datetime.time or str
axis : {0 or 'index', 1 or 'columns'}, default 0

    .. versionadded:: 0.24.0

Returns
-------
Series or DataFrame

Raises
------
TypeError
    If the index is not  a :class:`DatetimeIndex`

See Also
--------
between_time : Select values between particular times of the day.
first : Select initial periods of time series based on a date offset.
last : Select final periods of time series based on a date offset.
DatetimeIndex.indexer_at_time : Get just the index locations for
    values at particular time of the day.

Examples
--------
>>> i = pd.date_range('2018-04-09', periods=4, freq='12H')
>>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)
>>> ts
                     A
2018-04-09 00:00:00  1
2018-04-09 12:00:00  2
2018-04-10 00:00:00  3
2018-04-10 12:00:00  4

>>> ts.at_time('12:00')
                     A
2018-04-09 12:00:00  2
2018-04-10 12:00:00  4
def at_time(self, time, asof=False, axis=None):
    "\n        Select values at particular time of day (e.g. 9:30AM).\n\n        Parameters\n        ----------\n        time : datetime.time or str\n        axis : {0 or 'index', 1 or 'columns'}, default 0\n\n            .. versionadded:: 0.24.0\n\n        Returns\n        -------\n        Series or DataFrame\n\n        Raises\n        ------\n        TypeError\n            If the index is not  a :class:`DatetimeIndex`\n\n        See Also\n        --------\n        between_time : Select values between particular times of the day.\n        first : Select initial periods of time series based on a date offset.\n        last : Select final periods of time series based on a date offset.\n        DatetimeIndex.indexer_at_time : Get just the index locations for\n            values at particular time of the day.\n\n        Examples\n        --------\n        >>> i = pd.date_range('2018-04-09', periods=4, freq='12H')\n        >>> ts = pd.DataFrame({'A': [1, 2, 3, 4]}, index=i)\n        >>> ts\n                             A\n        2018-04-09 00:00:00  1\n        2018-04-09 12:00:00  2\n        2018-04-10 00:00:00  3\n        2018-04-10 12:00:00  4\n\n        >>> ts.at_time('12:00')\n                             A\n        2018-04-09 12:00:00  2\n        2018-04-10 12:00:00  4\n        "
    if (axis is None):
        axis = self._stat_axis_number
    axis = self._get_axis_number(axis)
    index = self._get_axis(axis)
    try:
        indexer = index.indexer_at_time(time, asof=asof)
    except AttributeError:
        raise TypeError('Index must be DatetimeIndex')
    return self._take(indexer, axis=axis)