DEPR: DTI/TDI/PI constructor arguments

doc/source/whatsnew/v0.15.0.rst

@@ -311,8 +311,7 @@ Timezone handling improvements
 - ``tz_localize(None)`` for tz-aware ``Timestamp`` and ``DatetimeIndex`` now removes timezone holding local time,
   previously this resulted in ``Exception`` or ``TypeError`` (:issue:`7812`)
 
-  .. ipython:: python
-     :okwarning:
+  .. code-block:: ipython
 
      ts = pd.Timestamp('2014-08-01 09:00', tz='US/Eastern')
      ts

pandas/core/indexes/datetimes.py

@@ -54,11 +54,10 @@ def _new_DatetimeIndex(cls, d):
         result = cls._simple_new(data, **d)
     else:
         with warnings.catch_warnings():
-            # we ignore warnings from passing verify_integrity=False
             # TODO: If we knew what was going in to **d, we might be able to
             #  go through _simple_new instead
             warnings.simplefilter("ignore")
-            result = cls.__new__(cls, verify_integrity=False, **d)
+            result = cls.__new__(cls, **d)
 
     return result
 
@@ -263,9 +262,6 @@ def __new__(
         cls,
         data=None,
         freq=None,
-        start=None,
-        end=None,
-        periods=None,
         tz=None,
         normalize=False,
         closed=None,
@@ -275,39 +271,8 @@ def __new__(
         dtype=None,
         copy=False,
         name=None,
-        verify_integrity=None,
     ):
 
-        if verify_integrity is not None:
-            warnings.warn(
-                "The 'verify_integrity' argument is deprecated, "
-                "will be removed in a future version.",
-                FutureWarning,
-                stacklevel=2,
-            )
-        else:
-            verify_integrity = True
-
-        if data is None:
-            dtarr = DatetimeArray._generate_range(
-                start,
-                end,
-                periods,
-                freq=freq,
-                tz=tz,
-                normalize=normalize,
-                closed=closed,
-                ambiguous=ambiguous,
-            )
-            warnings.warn(
-                "Creating a DatetimeIndex by passing range "
-                "endpoints is deprecated.  Use "
-                "`pandas.date_range` instead.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            return cls._simple_new(dtarr._data, freq=dtarr.freq, tz=dtarr.tz, name=name)
-
         if is_scalar(data):
             raise TypeError(
                 "{cls}() must be called with a "

pandas/core/indexes/period.py

@@ -187,9 +187,6 @@ def __new__(
         data=None,
         ordinal=None,
         freq=None,
-        start=None,
-        end=None,
-        periods=None,
         tz=None,
         dtype=None,
         copy=False,
@@ -219,29 +216,9 @@ def __new__(
 
         if data is None and ordinal is None:
             # range-based.
-            data, freq2 = PeriodArray._generate_range(start, end, periods, freq, fields)
-            # PeriodArray._generate range does validate that fields is
+            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.
-            if not fields:
-                msg = (
-                    "Creating a PeriodIndex by passing range "
-                    "endpoints is deprecated.  Use "
-                    "`pandas.period_range` instead."
-                )
-                # period_range differs from PeriodIndex for cases like
-                # start="2000", periods=4
-                # PeriodIndex interprets that as A-DEC freq.
-                # period_range interprets it as 'D' freq.
-                cond = freq is None and (
-                    (start and not isinstance(start, Period))
-                    or (end and not isinstance(end, Period))
-                )
-                if cond:
-                    msg += (
-                        " Note that the default `freq` may differ. Pass "
-                        "'freq=\"{}\"' to ensure the same output."
-                    ).format(freq2.freqstr)
-                warnings.warn(msg, FutureWarning, stacklevel=2)
             freq = freq2
 
             data = PeriodArray(data, freq=freq)

pandas/core/indexes/timedeltas.py

@@ -186,40 +186,12 @@ def __new__(
         data=None,
         unit=None,
         freq=None,
-        start=None,
-        end=None,
-        periods=None,
         closed=None,
         dtype=_TD_DTYPE,
         copy=False,
         name=None,
-        verify_integrity=None,
     ):
 
-        if verify_integrity is not None:
-            warnings.warn(
-                "The 'verify_integrity' argument is deprecated, "
-                "will be removed in a future version.",
-                FutureWarning,
-                stacklevel=2,
-            )
-        else:
-            verify_integrity = True
-
-        if data is None:
-            freq, freq_infer = dtl.maybe_infer_freq(freq)
-            warnings.warn(
-                "Creating a TimedeltaIndex by passing range "
-                "endpoints is deprecated.  Use "
-                "`pandas.timedelta_range` instead.",
-                FutureWarning,
-                stacklevel=2,
-            )
-            result = TimedeltaArray._generate_range(
-                start, end, periods, freq, closed=closed
-            )
-            return cls._simple_new(result._data, freq=freq, name=name)
-
         if is_scalar(data):
             raise TypeError(
                 "{cls}() must be called with a "

pandas/tests/indexes/datetimes/test_construction.py

@@ -485,16 +485,6 @@ def test_construction_with_ndarray(self):
         expected = DatetimeIndex(["2013-10-07", "2013-10-08", "2013-10-09"], freq="B")
         tm.assert_index_equal(result, expected)
 
-    def test_verify_integrity_deprecated(self):
-        # GH#23919
-        with tm.assert_produces_warning(FutureWarning):
-            DatetimeIndex(["1/1/2000"], verify_integrity=False)
-
-    def test_range_kwargs_deprecated(self):
-        # GH#23919
-        with tm.assert_produces_warning(FutureWarning):
-            DatetimeIndex(start="1/1/2000", end="1/10/2000", freq="D")
-
     def test_integer_values_and_tz_deprecated(self):
         # GH-24559
         values = np.array([946684800000000000])
@@ -517,10 +507,6 @@ def test_constructor_coverage(self):
         with pytest.raises(TypeError, match=msg):
             date_range(start="1/1/2000", periods="foo", freq="D")
 
-        with pytest.raises(ValueError):
-            with tm.assert_produces_warning(FutureWarning):
-                DatetimeIndex(start="1/1/2000", end="1/10/2000")
-
         with pytest.raises(TypeError):
             DatetimeIndex("1/1/2000")
 

pandas/tests/indexes/period/test_construction.py

@@ -35,10 +35,7 @@ def test_construction_base_constructor(self):
     def test_constructor_use_start_freq(self):
         # GH #1118
         p = Period("4/2/2012", freq="B")
-        with tm.assert_produces_warning(FutureWarning):
-            index = PeriodIndex(start=p, periods=10)
         expected = period_range(start="4/2/2012", periods=10, freq="B")
-        tm.assert_index_equal(index, expected)
 
         index = period_range(start=p, periods=10)
         tm.assert_index_equal(index, expected)
@@ -68,12 +65,6 @@ def test_constructor_field_arrays(self):
         with pytest.raises(ValueError, match=msg):
             PeriodIndex(year=years, month=months, freq="2M")
 
-        msg = "Can either instantiate from fields or endpoints, but not both"
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(
-                year=years, month=months, freq="M", start=Period("2007-01", freq="M")
-            )
-
         years = [2007, 2007, 2007]
         months = [1, 2, 3]
         idx = PeriodIndex(year=years, month=months, freq="M")
@@ -115,26 +106,6 @@ def test_constructor_invalid_quarters(self):
             PeriodIndex(year=range(2000, 2004), quarter=list(range(4)), freq="Q-DEC")
 
     def test_constructor_corner(self):
-        msg = "Not enough parameters to construct Period range"
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(periods=10, freq="A")
-
-        start = Period("2007", freq="A-JUN")
-        end = Period("2010", freq="A-DEC")
-
-        msg = "start and end must have same freq"
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(start=start, end=end)
-
-        msg = (
-            "Of the three parameters: start, end, and periods, exactly two"
-            " must be specified"
-        )
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(start=start)
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(end=end)
-
         result = period_range("2007-01", periods=10.5, freq="M")
         exp = period_range("2007-01", periods=10, freq="M")
         tm.assert_index_equal(result, exp)
@@ -368,27 +339,20 @@ def test_constructor_year_and_quarter(self):
         p = PeriodIndex(lops)
         tm.assert_index_equal(p, idx)
 
-    @pytest.mark.parametrize(
-        "func, warning", [(PeriodIndex, FutureWarning), (period_range, None)]
-    )
-    def test_constructor_freq_mult(self, func, warning):
+    def test_constructor_freq_mult(self):
         # GH #7811
-        with tm.assert_produces_warning(warning):
-            # must be the same, but for sure...
-            pidx = func(start="2014-01", freq="2M", periods=4)
+        pidx = period_range(start="2014-01", freq="2M", periods=4)
         expected = PeriodIndex(["2014-01", "2014-03", "2014-05", "2014-07"], freq="2M")
         tm.assert_index_equal(pidx, expected)
 
-        with tm.assert_produces_warning(warning):
-            pidx = func(start="2014-01-02", end="2014-01-15", freq="3D")
+        pidx = period_range(start="2014-01-02", end="2014-01-15", freq="3D")
         expected = PeriodIndex(
             ["2014-01-02", "2014-01-05", "2014-01-08", "2014-01-11", "2014-01-14"],
             freq="3D",
         )
         tm.assert_index_equal(pidx, expected)
 
-        with tm.assert_produces_warning(warning):
-            pidx = func(end="2014-01-01 17:00", freq="4H", periods=3)
+        pidx = period_range(end="2014-01-01 17:00", freq="4H", periods=3)
         expected = PeriodIndex(
             ["2014-01-01 09:00", "2014-01-01 13:00", "2014-01-01 17:00"], freq="4H"
         )
@@ -425,18 +389,6 @@ def test_constructor_freq_combined(self):
             expected = PeriodIndex(["2016-01-01 00:00", "2016-01-02 01:00"], freq="25H")
             tm.assert_index_equal(pidx, expected)
 
-    def test_constructor_range_based_deprecated(self):
-        with tm.assert_produces_warning(FutureWarning):
-            pi = PeriodIndex(freq="A", start="1/1/2001", end="12/1/2009")
-        assert len(pi) == 9
-
-    def test_constructor_range_based_deprecated_different_freq(self):
-        with tm.assert_produces_warning(FutureWarning) as m:
-            PeriodIndex(start="2000", periods=2)
-
-        (warning,) = m
-        assert 'freq="A-DEC"' in str(warning.message)
-
     def test_constructor(self):
         pi = period_range(freq="A", start="1/1/2001", end="12/1/2009")
         assert len(pi) == 9
@@ -507,21 +459,6 @@ def test_constructor(self):
         with pytest.raises(IncompatibleFrequency, match=msg):
             PeriodIndex(vals)
 
-    def test_constructor_error(self):
-        start = Period("02-Apr-2005", "B")
-        end_intv = Period("2006-12-31", ("w", 1))
-
-        msg = "start and end must have same freq"
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(start=start, end=end_intv)
-
-        msg = (
-            "Of the three parameters: start, end, and periods, "
-            "exactly two must be specified"
-        )
-        with pytest.raises(ValueError, match=msg):
-            PeriodIndex(start=start)
-
     @pytest.mark.parametrize(
         "freq", ["M", "Q", "A", "D", "B", "T", "S", "L", "U", "N", "H"]
     )

pandas/tests/indexes/period/test_period.py

@@ -540,15 +540,10 @@ def test_pindex_qaccess(self):
         assert s["05Q4"] == s[2]
 
     def test_pindex_multiples(self):
-        with tm.assert_produces_warning(FutureWarning):
-            pi = PeriodIndex(start="1/1/11", end="12/31/11", freq="2M")
         expected = PeriodIndex(
             ["2011-01", "2011-03", "2011-05", "2011-07", "2011-09", "2011-11"],
             freq="2M",
         )
-        tm.assert_index_equal(pi, expected)
-        assert pi.freq == offsets.MonthEnd(2)
-        assert pi.freqstr == "2M"
 
         pi = period_range(start="1/1/11", end="12/31/11", freq="2M")
         tm.assert_index_equal(pi, expected)

pandas/tests/indexes/timedeltas/test_construction.py

@@ -10,16 +10,6 @@
 
 
 class TestTimedeltaIndex:
-    def test_verify_integrity_deprecated(self):
-        # GH#23919
-        with tm.assert_produces_warning(FutureWarning):
-            TimedeltaIndex(["1 Day"], verify_integrity=False)
-
-    def test_range_kwargs_deprecated(self):
-        # GH#23919
-        with tm.assert_produces_warning(FutureWarning):
-            TimedeltaIndex(start="1 Day", end="3 Days", freq="D")
-
     def test_int64_nocopy(self):
         # GH#23539 check that a copy isn't made when we pass int64 data
         #  and copy=False
@@ -166,10 +156,6 @@ def test_constructor_coverage(self):
         with pytest.raises(TypeError, match=msg):
             timedelta_range(start="1 days", periods="foo", freq="D")
 
-        with pytest.raises(ValueError):
-            with tm.assert_produces_warning(FutureWarning):
-                TimedeltaIndex(start="1 days", end="10 days")
-
         with pytest.raises(TypeError):
             TimedeltaIndex("1 days")