# pandas.Series.dt.normalize

`Series.dt.``normalize`(*args, **kwargs)

  Convert times to midnight.

  The time component of the date-time is converted to midnight i.e. 00:00:00. This is useful in cases, when the time does not matter. Length is unaltered. The timezones are unaffected.

  This method is available on Series with datetime values under the `.dt` accessor, and directly on Datetime Array/Index.

  Returns:

  DatetimeArray, DatetimeIndex or Series

  > The same type as the original data. Series will have the same name and index. DatetimeIndex will have the same name.

  See also

  `floor`
    Floor the datetimes to the specified freq.
  `ceil`
    Ceil the datetimes to the specified freq.
  `round`
    Round the datetimes to the specified freq.

  Examples

      >>> idx = pd.date_range(start='2014-08-01 10:00', freq='H',
      ...                     periods=3, tz='Asia/Calcutta')
      >>> idx
      DatetimeIndex(['2014-08-01 10:00:00+05:30',
                     '2014-08-01 11:00:00+05:30',
                     '2014-08-01 12:00:00+05:30'],
                      dtype='datetime64[ns, Asia/Calcutta]', freq='H')
      >>> idx.normalize()
      DatetimeIndex(['2014-08-01 00:00:00+05:30',
                     '2014-08-01 00:00:00+05:30',
                     '2014-08-01 00:00:00+05:30'],
                     dtype='datetime64[ns, Asia/Calcutta]', freq=None)

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