DEPR: PeriodIndex ordinal, fields keywords

doc/source/whatsnew/v2.2.0.rst

@@ -264,6 +264,7 @@ Other Deprecations
 - Changed :meth:`Timedelta.resolution_string` to return ``h``, ``min``, ``s``, ``ms``, ``us``, and ``ns`` instead of ``H``, ``T``, ``S``, ``L``, ``U``, and ``N``, for compatibility with respective deprecations in frequency aliases (:issue:`52536`)
 - Deprecated :func:`read_gbq` and :meth:`DataFrame.to_gbq`. Use ``pandas_gbq.read_gbq`` and ``pandas_gbq.to_gbq`` instead https://pandas-gbq.readthedocs.io/en/latest/api.html (:issue:`55525`)
 - Deprecated :meth:`Index.format`, use ``index.astype(str)`` or ``index.map(formatter)`` instead (:issue:`55413`)
+- Deprecated ``year``, ``month``, ``quarter``, ``day``, ``hour``, ``minute``, and ``second`` keywords in the :class:`PeriodIndex` constructor, use :meth:`PeriodIndex.from_fields` instead (:issue:`55960`)
 - Deprecated allowing non-keyword arguments in :meth:`DataFrame.to_clipboard`. (:issue:`54229`)
 - Deprecated allowing non-keyword arguments in :meth:`DataFrame.to_csv` except ``path_or_buf``. (:issue:`54229`)
 - Deprecated allowing non-keyword arguments in :meth:`DataFrame.to_dict`. (:issue:`54229`)
@@ -294,6 +295,7 @@ Other Deprecations
 - Deprecated strings ``T``, ``S``, ``L``, ``U``, and ``N`` denoting frequencies in :class:`Minute`, :class:`Second`, :class:`Milli`, :class:`Micro`, :class:`Nano` (:issue:`52536`)
 - Deprecated the ``errors="ignore"`` option in :func:`to_datetime`, :func:`to_timedelta`, and :func:`to_numeric`; explicitly catch exceptions instead (:issue:`54467`)
 - Deprecated the ``fastpath`` keyword in the :class:`Series` constructor (:issue:`20110`)
+- Deprecated the ``ordinal`` keyword in :class:`PeriodIndex`, use :meth:`PeriodIndex.from_ordinals` instead (:issue:`55960`)
 - Deprecated the extension test classes ``BaseNoReduceTests``, ``BaseBooleanReduceTests``, and ``BaseNumericReduceTests``, use ``BaseReduceTests`` instead (:issue:`54663`)
 - Deprecated the option ``mode.data_manager`` and the ``ArrayManager``; only the ``BlockManager`` will be available in future versions (:issue:`55043`)
 - Deprecated the previous implementation of :class:`DataFrame.stack`; specify ``future_stack=True`` to adopt the future version (:issue:`53515`)

pandas/core/arrays/period.py

@@ -329,26 +329,25 @@ def _from_datetime64(cls, data, freq, tz=None) -> Self:
         return cls(data, dtype=dtype)
 
     @classmethod
-    def _generate_range(cls, start, end, periods, freq, fields):
+    def _generate_range(cls, start, end, periods, freq):
         periods = dtl.validate_periods(periods)
 
         if freq is not None:
             freq = Period._maybe_convert_freq(freq)
 
-        field_count = len(fields)
         if start is not None or end is not None:
-            if field_count > 0:
-                raise ValueError(
-                    "Can either instantiate from fields or endpoints, but not both"
-                )
             subarr, freq = _get_ordinal_range(start, end, periods, freq)
-        elif field_count > 0:
-            subarr, freq = _range_from_fields(freq=freq, **fields)
         else:
             raise ValueError("Not enough parameters to construct Period range")
 
         return subarr, freq
 
+    @classmethod
+    def _from_fields(cls, *, fields: dict, freq) -> Self:
+        subarr, freq = _range_from_fields(freq=freq, **fields)
+        dtype = PeriodDtype(freq)
+        return cls._simple_new(subarr, dtype=dtype)
+
     # -----------------------------------------------------------------
     # DatetimeLike Interface
 

pandas/core/indexes/period.py

@@ -5,6 +5,7 @@
     timedelta,
 )
 from typing import TYPE_CHECKING
+import warnings
 
 import numpy as np
 
@@ -21,6 +22,7 @@
     cache_readonly,
     doc,
 )
+from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.common import is_integer
 from pandas.core.dtypes.dtypes import PeriodDtype
@@ -146,7 +148,7 @@ class PeriodIndex(DatetimeIndexOpsMixin):
 
     Examples
     --------
-    >>> idx = pd.PeriodIndex(year=[2000, 2002], quarter=[1, 3])
+    >>> idx = pd.PeriodIndex.from_fields(year=[2000, 2002], quarter=[1, 3])
     >>> idx
     PeriodIndex(['2000Q1', '2002Q3'], dtype='period[Q-DEC]')
     """
@@ -233,6 +235,24 @@ def __new__(
         if not set(fields).issubset(valid_field_set):
             argument = next(iter(set(fields) - valid_field_set))
             raise TypeError(f"__new__() got an unexpected keyword argument {argument}")
+        elif len(fields):
+            # GH#55960
+            warnings.warn(
+                "Constructing PeriodIndex from fields is deprecated. Use "
+                "PeriodIndex.from_fields instead.",
+                FutureWarning,
+                stacklevel=find_stack_level(),
+            )
+
+        if ordinal is not None:
+            # GH#55960
+            warnings.warn(
+                "The 'ordinal' keyword in PeriodIndex is deprecated and will "
+                "be removed in a future version. Use PeriodIndex.from_ordinals "
+                "instead.",
+                FutureWarning,
+                stacklevel=find_stack_level(),
+            )
 
         name = maybe_extract_name(name, data, cls)
 
@@ -241,14 +261,9 @@ def __new__(
             if not fields:
                 # test_pickle_compat_construction
                 cls._raise_scalar_data_error(None)
+            data = cls.from_fields(**fields, freq=freq)._data
+            copy = False
 
-            data, freq2 = PeriodArray._generate_range(None, None, None, freq, fields)
-            # PeriodArray._generate range does validation that fields is
-            # empty when really using the range-based constructor.
-            freq = freq2
-
-            dtype = PeriodDtype(freq)
-            data = PeriodArray(data, dtype=dtype)
         elif fields:
             if data is not None:
                 raise ValueError("Cannot pass both data and fields")
@@ -280,6 +295,39 @@ def __new__(
 
         return cls._simple_new(data, name=name, refs=refs)
 
+    @classmethod
+    def from_fields(
+        cls,
+        *,
+        year=None,
+        quarter=None,
+        month=None,
+        day=None,
+        hour=None,
+        minute=None,
+        second=None,
+        freq=None,
+    ) -> Self:
+        fields = {
+            "year": year,
+            "quarter": quarter,
+            "month": month,
+            "day": day,
+            "hour": hour,
+            "minute": minute,
+            "second": second,
+        }
+        fields = {key: value for key, value in fields.items() if value is not None}
+        arr = PeriodArray._from_fields(fields=fields, freq=freq)
+        return cls._simple_new(arr)
+
+    @classmethod
+    def from_ordinals(cls, ordinals, *, freq, name=None) -> Self:
+        ordinals = np.asarray(ordinals, dtype=np.int64)
+        dtype = PeriodDtype(freq)
+        data = PeriodArray._simple_new(ordinals, dtype=dtype)
+        return cls._simple_new(data, name=name)
+
     # ------------------------------------------------------------------------
     # Data
 
@@ -537,7 +585,7 @@ def period_range(
     if freq is None and (not isinstance(start, Period) and not isinstance(end, Period)):
         freq = "D"
 
-    data, freq = PeriodArray._generate_range(start, end, periods, freq, fields={})
+    data, freq = PeriodArray._generate_range(start, end, periods, freq)
     dtype = PeriodDtype(freq)
     data = PeriodArray(data, dtype=dtype)
     return PeriodIndex(data, name=name)

pandas/io/pytables.py

@@ -2169,8 +2169,10 @@ def convert(
             # error: Incompatible types in assignment (expression has type
             # "Callable[[Any, KwArg(Any)], PeriodIndex]", variable has type
             # "Union[Type[Index], Type[DatetimeIndex]]")
-            factory = lambda x, **kwds: PeriodIndex(  # type: ignore[assignment]
-                ordinal=x, **kwds
+            factory = lambda x, **kwds: PeriodIndex.from_ordinals(  # type: ignore[assignment]
+                x, freq=kwds.get("freq", None)
+            )._rename(
+                kwds["name"]
             )
 
         # making an Index instance could throw a number of different errors

pandas/tests/indexes/period/methods/test_to_timestamp.py

@@ -87,7 +87,7 @@ def test_to_timestamp_quarterly_bug(self):
         years = np.arange(1960, 2000).repeat(4)
         quarters = np.tile(list(range(1, 5)), 40)
 
-        pindex = PeriodIndex(year=years, quarter=quarters)
+        pindex = PeriodIndex.from_fields(year=years, quarter=quarters)
 
         stamps = pindex.to_timestamp("D", "end")
         expected = DatetimeIndex([x.to_timestamp("D", "end") for x in pindex])

pandas/tests/indexes/period/test_constructors.py

@@ -23,18 +23,23 @@ class TestPeriodIndex:
     def test_keyword_mismatch(self):
         # GH#55961 we should get exactly one of data/ordinals/**fields
         per = Period("2016-01-01", "D")
+        depr_msg1 = "The 'ordinal' keyword in PeriodIndex is deprecated"
+        depr_msg2 = "Constructing PeriodIndex from fields is deprecated"
 
         err_msg1 = "Cannot pass both data and ordinal"
         with pytest.raises(ValueError, match=err_msg1):
-            PeriodIndex(data=[per], ordinal=[per.ordinal], freq=per.freq)
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg1):
+                PeriodIndex(data=[per], ordinal=[per.ordinal], freq=per.freq)
 
         err_msg2 = "Cannot pass both data and fields"
         with pytest.raises(ValueError, match=err_msg2):
-            PeriodIndex(data=[per], year=[per.year], freq=per.freq)
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg2):
+                PeriodIndex(data=[per], year=[per.year], freq=per.freq)
 
         err_msg3 = "Cannot pass both ordinal and fields"
         with pytest.raises(ValueError, match=err_msg3):
-            PeriodIndex(ordinal=[per.ordinal], year=[per.year], freq=per.freq)
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg2):
+                PeriodIndex(ordinal=[per.ordinal], year=[per.year], freq=per.freq)
 
     def test_construction_base_constructor(self):
         # GH 13664
@@ -94,28 +99,35 @@ def test_constructor_field_arrays(self):
         years = np.arange(1990, 2010).repeat(4)[2:-2]
         quarters = np.tile(np.arange(1, 5), 20)[2:-2]
 
-        index = PeriodIndex(year=years, quarter=quarters, freq="Q-DEC")
+        depr_msg = "Constructing PeriodIndex from fields is deprecated"
+        with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+            index = PeriodIndex(year=years, quarter=quarters, freq="Q-DEC")
         expected = period_range("1990Q3", "2009Q2", freq="Q-DEC")
         tm.assert_index_equal(index, expected)
 
-        index2 = PeriodIndex(year=years, quarter=quarters, freq="2Q-DEC")
+        with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+            index2 = PeriodIndex(year=years, quarter=quarters, freq="2Q-DEC")
         tm.assert_numpy_array_equal(index.asi8, index2.asi8)
 
-        index = PeriodIndex(year=years, quarter=quarters)
+        with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+            index = PeriodIndex(year=years, quarter=quarters)
         tm.assert_index_equal(index, expected)
 
         years = [2007, 2007, 2007]
         months = [1, 2]
 
         msg = "Mismatched Period array lengths"
         with pytest.raises(ValueError, match=msg):
-            PeriodIndex(year=years, month=months, freq="M")
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+                PeriodIndex(year=years, month=months, freq="M")
         with pytest.raises(ValueError, match=msg):
-            PeriodIndex(year=years, month=months, freq="2M")
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+                PeriodIndex(year=years, month=months, freq="2M")
 
         years = [2007, 2007, 2007]
         months = [1, 2, 3]
-        idx = PeriodIndex(year=years, month=months, freq="M")
+        with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+            idx = PeriodIndex(year=years, month=months, freq="M")
         exp = period_range("2007-01", periods=3, freq="M")
         tm.assert_index_equal(idx, exp)
 
@@ -145,15 +157,24 @@ def test_constructor_arrays_negative_year(self):
         years = np.arange(1960, 2000, dtype=np.int64).repeat(4)
         quarters = np.tile(np.array([1, 2, 3, 4], dtype=np.int64), 40)
 
-        pindex = PeriodIndex(year=years, quarter=quarters)
+        msg = "Constructing PeriodIndex from fields is deprecated"
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            pindex = PeriodIndex(year=years, quarter=quarters)
 
         tm.assert_index_equal(pindex.year, Index(years))
         tm.assert_index_equal(pindex.quarter, Index(quarters))
 
+        alt = PeriodIndex.from_fields(year=years, quarter=quarters)
+        tm.assert_index_equal(alt, pindex)
+
     def test_constructor_invalid_quarters(self):
+        depr_msg = "Constructing PeriodIndex from fields is deprecated"
         msg = "Quarter must be 1 <= q <= 4"
         with pytest.raises(ValueError, match=msg):
-            PeriodIndex(year=range(2000, 2004), quarter=list(range(4)), freq="Q-DEC")
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+                PeriodIndex(
+                    year=range(2000, 2004), quarter=list(range(4)), freq="Q-DEC"
+                )
 
     def test_constructor_corner(self):
         result = period_range("2007-01", periods=10.5, freq="M")
@@ -394,7 +415,9 @@ def test_constructor_nat(self):
     def test_constructor_year_and_quarter(self):
         year = Series([2001, 2002, 2003])
         quarter = year - 2000
-        idx = PeriodIndex(year=year, quarter=quarter)
+        msg = "Constructing PeriodIndex from fields is deprecated"
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            idx = PeriodIndex(year=year, quarter=quarter)
         strs = [f"{t[0]:d}Q{t[1]:d}" for t in zip(quarter, year)]
         lops = list(map(Period, strs))
         p = PeriodIndex(lops)

pandas/tests/indexes/period/test_period.py

@@ -214,10 +214,19 @@ def test_negative_ordinals(self):
         Period(ordinal=-1000, freq="Y")
         Period(ordinal=0, freq="Y")
 
-        idx1 = PeriodIndex(ordinal=[-1, 0, 1], freq="Y")
-        idx2 = PeriodIndex(ordinal=np.array([-1, 0, 1]), freq="Y")
+        msg = "The 'ordinal' keyword in PeriodIndex is deprecated"
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            idx1 = PeriodIndex(ordinal=[-1, 0, 1], freq="Y")
+        with tm.assert_produces_warning(FutureWarning, match=msg):
+            idx2 = PeriodIndex(ordinal=np.array([-1, 0, 1]), freq="Y")
         tm.assert_index_equal(idx1, idx2)
 
+        alt1 = PeriodIndex.from_ordinals([-1, 0, 1], freq="Y")
+        tm.assert_index_equal(alt1, idx1)
+
+        alt2 = PeriodIndex.from_ordinals(np.array([-1, 0, 1]), freq="Y")
+        tm.assert_index_equal(alt2, idx2)
+
     def test_pindex_fieldaccessor_nat(self):
         idx = PeriodIndex(
             ["2011-01", "2011-02", "NaT", "2012-03", "2012-04"], freq="D", name="name"

pandas/tests/indexes/test_old_base.py

@@ -272,7 +272,9 @@ def test_ensure_copied_data(self, index):
 
         if isinstance(index, PeriodIndex):
             # .values an object array of Period, thus copied
-            result = index_type(ordinal=index.asi8, copy=False, **init_kwargs)
+            depr_msg = "The 'ordinal' keyword in PeriodIndex is deprecated"
+            with tm.assert_produces_warning(FutureWarning, match=depr_msg):
+                result = index_type(ordinal=index.asi8, copy=False, **init_kwargs)
             tm.assert_numpy_array_equal(index.asi8, result.asi8, check_same="same")
         elif isinstance(index, IntervalIndex):
             # checked in test_interval.py