# pandas.Series.at_time

`Series.``at_time`(time, asof=False, axis=None)

  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

  > New in version 0.24.0.

  Returns: | Series or DataFrame

  Raises:

  TypeError

  > If the index is not a `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

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