API: Remove IntervalArray from top-level

doc/source/api/arrays.rst

@@ -288,12 +288,12 @@ Properties
    Interval.overlaps
    Interval.right
 
-A collection of intervals may be stored in an :class:`IntervalArray`.
+A collection of intervals may be stored in an :class:`arrays.IntervalArray`.
 
 .. autosummary::
    :toctree: generated/
 
-   IntervalArray
+   arrays.IntervalArray
    IntervalDtype
 
 .. _api.arrays.integer_na:

doc/source/whatsnew/v0.24.0.rst

@@ -225,7 +225,7 @@ from the ``Series``:
    ser.array
    pser.array
 
-These return an instance of :class:`IntervalArray` or :class:`arrays.PeriodArray`,
+These return an instance of :class:`arrays.IntervalArray` or :class:`arrays.PeriodArray`,
 the new extension arrays that back interval and period data.
 
 .. warning::
@@ -411,7 +411,7 @@ Other Enhancements
 - :meth:`Categorical.from_codes` now can take a ``dtype`` parameter as an alternative to passing ``categories`` and ``ordered`` (:issue:`24398`).
 - New attribute ``__git_version__`` will return git commit sha of current build (:issue:`21295`).
 - Compatibility with Matplotlib 3.0 (:issue:`22790`).
-- Added :meth:`Interval.overlaps`, :meth:`IntervalArray.overlaps`, and :meth:`IntervalIndex.overlaps` for determining overlaps between interval-like objects (:issue:`21998`)
+- Added :meth:`Interval.overlaps`, :meth:`arrays.IntervalArray.overlaps`, and :meth:`IntervalIndex.overlaps` for determining overlaps between interval-like objects (:issue:`21998`)
 - :func:`read_fwf` now accepts keyword ``infer_nrows`` (:issue:`15138`).
 - :func:`~DataFrame.to_parquet` now supports writing a ``DataFrame`` as a directory of parquet files partitioned by a subset of the columns when ``engine = 'pyarrow'`` (:issue:`23283`)
 - :meth:`Timestamp.tz_localize`, :meth:`DatetimeIndex.tz_localize`, and :meth:`Series.tz_localize` have gained the ``nonexistent`` argument for alternative handling of nonexistent times. See :ref:`timeseries.timezone_nonexistent` (:issue:`8917`, :issue:`24466`)

pandas/core/api.py

@@ -4,7 +4,6 @@
 
 import numpy as np
 
-from pandas.core.arrays import IntervalArray
 from pandas.core.arrays.integer import (
     Int8Dtype,
     Int16Dtype,

pandas/core/arrays/array_.py

@@ -50,7 +50,7 @@ def array(data,         # type: Sequence[object]
         ============================== =====================================
         Scalar Type                    Array Type
         ============================== =====================================
-        :class:`pandas.Interval`       :class:`pandas.IntervalArray`
+        :class:`pandas.Interval`       :class:`pandas.arrays.IntervalArray`
         :class:`pandas.Period`         :class:`pandas.arrays.PeriodArray`
         :class:`datetime.datetime`     :class:`pandas.arrays.DatetimeArray`
         :class:`datetime.timedelta`    :class:`pandas.arrays.TimedeltaArray`

pandas/core/arrays/interval.py

@@ -115,7 +115,7 @@
     A new ``IntervalArray`` can be constructed directly from an array-like of
     ``Interval`` objects:
 
-    >>> pd.IntervalArray([pd.Interval(0, 1), pd.Interval(1, 5)])
+    >>> pandas.IntervalArray([pd.Interval(0, 1), pd.Interval(1, 5)])
     IntervalArray([(0, 1], (1, 5]],
                   closed='right',
                   dtype='interval[int64]')

pandas/tests/api/test_api.py

@@ -46,7 +46,6 @@ class TestPDApi(Base):
                'Series', 'SparseArray', 'SparseDataFrame', 'SparseDtype',
                'SparseSeries', 'Timedelta',
                'TimedeltaIndex', 'Timestamp', 'Interval', 'IntervalIndex',
-               'IntervalArray',
                'CategoricalDtype', 'PeriodDtype', 'IntervalDtype',
                'DatetimeTZDtype',
                'Int8Dtype', 'Int16Dtype', 'Int32Dtype', 'Int64Dtype',

pandas/tests/arrays/test_array.py

@@ -74,7 +74,7 @@
 
     # Interval
     ([pd.Interval(1, 2), pd.Interval(3, 4)], 'interval',
-     pd.IntervalArray.from_tuples([(1, 2), (3, 4)])),
+     pd.arrays.IntervalArray.from_tuples([(1, 2), (3, 4)])),
 
     # Sparse
     ([0, 1], 'Sparse[int64]', pd.SparseArray([0, 1], dtype='int64')),
@@ -129,7 +129,7 @@ def test_array_copy():
 
     # interval
     ([pd.Interval(0, 1), pd.Interval(1, 2)],
-     pd.IntervalArray.from_breaks([0, 1, 2])),
+     pd.arrays.IntervalArray.from_breaks([0, 1, 2])),
 
     # datetime
     ([pd.Timestamp('2000',), pd.Timestamp('2001')],