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# pandas.PeriodIndex

class pandas.PeriodIndex(data=None, ordinal=None, freq=None, dtype=None, copy=False, name=None, **fields)

  Immutable ndarray holding ordinal values indicating regular periods in time.

  Index keys are boxed to Period objects which carries the metadata (eg, frequency information).

  Parameters:
    dataarray-like (1d int np.ndarray or PeriodArray), optional

      Optional period-like data to construct index with.

    copybool

      Make a copy of input ndarray.

    freqstr or period object, optional

      One of pandas period strings or corresponding objects.

    yearint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    monthint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    quarterint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    dayint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    hourint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    minuteint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    secondint, array, or Series, default None

      Deprecated since version 2.2.0: Use PeriodIndex.from_fields instead.

    dtypestr or PeriodDtype, default None

  Attributes

  `day` | The days of the period.
  `dayofweek` | The day of the week with Monday=0, Sunday=6.
  `day_of_week` | The day of the week with Monday=0, Sunday=6.
  `dayofyear` | The ordinal day of the year.
  `day_of_year` | The ordinal day of the year.
  `days_in_month` | The number of days in the month.
  `daysinmonth` | The number of days in the month.
  `end_time` | Get the Timestamp for the end of the period.
  `freqstr` | Return the frequency object as a string if it's set, otherwise None.
  `hour` | The hour of the period.
  `is_leap_year` | Logical indicating if the date belongs to a leap year.
  `minute` | The minute of the period.
  `month` | The month as January=1, December=12.
  `quarter` | The quarter of the date.
  `second` | The second of the period.
  `start_time` | Get the Timestamp for the start of the period.
  `week` | The week ordinal of the year.
  `weekday` | The day of the week with Monday=0, Sunday=6.
  `weekofyear` | The week ordinal of the year.
  `year` | The year of the period.

  freq |
  qyear |

  Methods

  `asfreq`([freq, how]) | Convert the PeriodArray to the specified frequency freq.
  `strftime`(*args, **kwargs) | Convert to Index using specified date_format.
  `to_timestamp`([freq, how]) | Cast to DatetimeArray/Index.

  from_fields |
  from_ordinals |

  See also

  `Index`

    The base pandas Index type.

  `Period`

    Represents a period of time.

  `DatetimeIndex`

    Index with datetime64 data.

  `TimedeltaIndex`

    Index of timedelta64 data.

  `period_range`

    Create a fixed-frequency PeriodIndex.

  Examples

      >>> idx = pd.PeriodIndex.from_fields(year=[2000, 2002], quarter=[1, 3])
      >>> idx
      PeriodIndex(['2000Q1', '2002Q3'], dtype='period[Q-DEC]')