DEPR: pandas.core.index

doc/source/user_guide/io.rst

@@ -4683,6 +4683,7 @@ See the documentation for `pyarrow <https://arrow.apache.org/docs/python/>`__ an
 Write to a parquet file.
 
 .. ipython:: python
+   :okwarning:
 
    df.to_parquet('example_pa.parquet', engine='pyarrow')
    df.to_parquet('example_fp.parquet', engine='fastparquet')

doc/source/whatsnew/v1.0.0.rst

@@ -432,6 +432,8 @@ Optional libraries below the lowest tested version may still work, but are not c
 +-----------------+-----------------+---------+
 | pytables        | 3.4.2           |         |
 +-----------------+-----------------+---------+
+| s3fs            | 0.3.0           |    X    |
++-----------------+-----------------+---------+
 | scipy           | 0.19.0          |         |
 +-----------------+-----------------+---------+
 | sqlalchemy      | 1.1.4           |         |
@@ -453,7 +455,7 @@ See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for mor
 Other API changes
 ^^^^^^^^^^^^^^^^^
 
-- Bumpded the minimum supported version of ``s3fs`` from 0.0.8 to 0.3.0 (:issue:`28616`)
+- Bumped the minimum supported version of ``s3fs`` from 0.0.8 to 0.3.0 (:issue:`28616`)
 - :class:`pandas.core.groupby.GroupBy.transform` now raises on invalid operation names (:issue:`27489`)
 - :meth:`pandas.api.types.infer_dtype` will now return "integer-na" for integer and ``np.nan`` mix (:issue:`27283`)
 - :meth:`MultiIndex.from_arrays` will no longer infer names from arrays if ``names=None`` is explicitly provided (:issue:`27292`)
@@ -491,6 +493,7 @@ Deprecations
 - :meth:`Categorical.take_nd` is deprecated, use :meth:`Categorical.take` instead (:issue:`27745`)
 - The parameter ``numeric_only`` of :meth:`Categorical.min` and :meth:`Categorical.max` is deprecated and replaced with ``skipna`` (:issue:`25303`)
 - The parameter ``label`` in :func:`lreshape` has been deprecated and will be removed in a future version (:issue:`29742`)
+- ``pandas.core.index`` has been deprecated and will be removed in a future version, the public classes are available in the top-level namespace (:issue:`19711`)
 -
 
 .. _whatsnew_1000.prior_deprecations:

pandas/_libs/internals.pyx

@@ -96,7 +96,7 @@ cdef class BlockPlacement:
             return self._as_array
 
     def isin(self, arr):
-        from pandas.core.index import Int64Index
+        from pandas.core.indexes.api import Int64Index
         return Int64Index(self.as_array, copy=False).isin(arr)
 
     @property

pandas/_libs/lib.pyx

@@ -598,7 +598,7 @@ def astype_str(arr: ndarray, skipna: bool=False) -> ndarray[object]:
 @cython.boundscheck(False)
 def clean_index_list(obj: list):
     """
-    Utility used in ``pandas.core.index.ensure_index``.
+    Utility used in ``pandas.core.indexes.api.ensure_index``.
     """
     cdef:
         Py_ssize_t i, n = len(obj)

pandas/core/api.py

@@ -2,6 +2,9 @@
 
 import numpy as np
 
+from pandas._libs import NaT, Period, Timedelta, Timestamp
+from pandas._libs.missing import NA
+
 from pandas.core.dtypes.dtypes import (
     CategoricalDtype,
     DatetimeTZDtype,
@@ -26,24 +29,23 @@
 from pandas.core.arrays.string_ import StringDtype
 from pandas.core.construction import array
 from pandas.core.groupby import Grouper, NamedAgg
-from pandas.core.index import (
+from pandas.core.indexes.api import (
     CategoricalIndex,
     DatetimeIndex,
     Float64Index,
     Index,
     Int64Index,
     IntervalIndex,
     MultiIndex,
-    NaT,
     PeriodIndex,
     RangeIndex,
     TimedeltaIndex,
     UInt64Index,
 )
-from pandas.core.indexes.datetimes import Timestamp, bdate_range, date_range
+from pandas.core.indexes.datetimes import bdate_range, date_range
 from pandas.core.indexes.interval import Interval, interval_range
-from pandas.core.indexes.period import Period, period_range
-from pandas.core.indexes.timedeltas import Timedelta, timedelta_range
+from pandas.core.indexes.period import period_range
+from pandas.core.indexes.timedeltas import timedelta_range
 from pandas.core.indexing import IndexSlice
 from pandas.core.series import Series
 from pandas.core.tools.datetimes import to_datetime
@@ -55,5 +57,3 @@
 
 # DataFrame needs to be imported after NamedAgg to avoid a circular import
 from pandas.core.frame import DataFrame  # isort:skip
-
-from pandas._libs.missing import NA

pandas/core/arrays/sparse/scipy_sparse.py

@@ -5,7 +5,7 @@
 """
 from collections import OrderedDict
 
-from pandas.core.index import Index, MultiIndex
+from pandas.core.indexes.api import Index, MultiIndex
 from pandas.core.series import Series
 
 

pandas/core/construction.py

@@ -49,7 +49,7 @@
 
 if TYPE_CHECKING:
     from pandas.core.series import Series  # noqa: F401
-    from pandas.core.index import Index  # noqa: F401
+    from pandas.core.indexes.api import Index  # noqa: F401
 
 
 def array(

pandas/core/frame.py

@@ -93,8 +93,8 @@
 from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin as DatetimeLikeArray
 from pandas.core.arrays.sparse import SparseFrameAccessor
 from pandas.core.generic import NDFrame, _shared_docs
-from pandas.core.index import Index, ensure_index, ensure_index_from_sequences
 from pandas.core.indexes import base as ibase
+from pandas.core.indexes.api import Index, ensure_index, ensure_index_from_sequences
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.multi import maybe_droplevels
 from pandas.core.indexes.period import PeriodIndex

pandas/core/generic.py

@@ -73,7 +73,7 @@
 from pandas.core.base import PandasObject, SelectionMixin
 import pandas.core.common as com
 from pandas.core.construction import create_series_with_explicit_dtype
-from pandas.core.index import (
+from pandas.core.indexes.api import (
     Index,
     InvalidIndexError,
     MultiIndex,

pandas/core/groupby/groupby.py

@@ -59,7 +59,7 @@ class providing the base-class of operations.
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame
 from pandas.core.groupby import base, ops
-from pandas.core.index import CategoricalIndex, Index, MultiIndex
+from pandas.core.indexes.api import CategoricalIndex, Index, MultiIndex
 from pandas.core.series import Series
 from pandas.core.sorting import get_group_index_sorter
 

pandas/core/groupby/grouper.py

@@ -26,7 +26,7 @@
 from pandas.core.frame import DataFrame
 from pandas.core.groupby import ops
 from pandas.core.groupby.categorical import recode_for_groupby, recode_from_groupby
-from pandas.core.index import CategoricalIndex, Index, MultiIndex
+from pandas.core.indexes.api import CategoricalIndex, Index, MultiIndex
 from pandas.core.series import Series
 
 from pandas.io.formats.printing import pprint_thing

pandas/core/groupby/ops.py

@@ -43,7 +43,7 @@
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame
 from pandas.core.groupby import base, grouper
-from pandas.core.index import Index, MultiIndex, ensure_index
+from pandas.core.indexes.api import Index, MultiIndex, ensure_index
 from pandas.core.series import Series
 from pandas.core.sorting import (
     compress_group_index,

pandas/core/index.py

@@ -1,3 +1,5 @@
+import warnings
+
 from pandas.core.indexes.api import (  # noqa:F401
     CategoricalIndex,
     DatetimeIndex,
@@ -19,3 +21,10 @@
     get_objs_combined_axis,
 )
 from pandas.core.indexes.multi import _sparsify  # noqa:F401
+
+# GH#30193
+warnings.warn(
+    "pandas.core.index is deprecated and will be removed in a future version.  "
+    "The public classes are available in the top-level namespace.",
+    FutureWarning,
+)

pandas/core/indexes/api.py

@@ -37,8 +37,6 @@
 )
 
 
-# TODO: there are many places that rely on these private methods existing in
-# pandas.core.index
 __all__ = [
     "Index",
     "MultiIndex",

pandas/core/indexes/base.py

@@ -5462,6 +5462,6 @@ def _validate_join_method(method):
 
 
 def default_index(n):
-    from pandas.core.index import RangeIndex
+    from pandas.core.indexes.range import RangeIndex
 
     return RangeIndex(0, n, name=None)

pandas/core/indexing.py

@@ -22,8 +22,8 @@
 from pandas.core.dtypes.missing import _infer_fill_value, isna
 
 import pandas.core.common as com
-from pandas.core.index import Index, InvalidIndexError
 from pandas.core.indexers import is_list_like_indexer, length_of_indexer
+from pandas.core.indexes.api import Index, InvalidIndexError
 
 
 # the supported indexers

pandas/core/internals/construction.py

@@ -37,9 +37,13 @@
 from pandas.core import algorithms, common as com
 from pandas.core.arrays import Categorical
 from pandas.core.construction import sanitize_array
-from pandas.core.index import Index, ensure_index, get_objs_combined_axis
 from pandas.core.indexes import base as ibase
-from pandas.core.indexes.api import union_indexes
+from pandas.core.indexes.api import (
+    Index,
+    ensure_index,
+    get_objs_combined_axis,
+    union_indexes,
+)
 from pandas.core.internals import (
     create_block_manager_from_arrays,
     create_block_manager_from_blocks,

pandas/core/internals/managers.py

@@ -32,8 +32,8 @@
 
 import pandas.core.algorithms as algos
 from pandas.core.base import PandasObject
-from pandas.core.index import Index, MultiIndex, ensure_index
 from pandas.core.indexers import maybe_convert_indices
+from pandas.core.indexes.api import Index, MultiIndex, ensure_index
 
 from pandas.io.formats.printing import pprint_thing
 

pandas/core/reshape/pivot.py

@@ -11,7 +11,7 @@
 import pandas.core.common as com
 from pandas.core.frame import _shared_docs
 from pandas.core.groupby import Grouper
-from pandas.core.index import Index, MultiIndex, get_objs_combined_axis
+from pandas.core.indexes.api import Index, MultiIndex, get_objs_combined_axis
 from pandas.core.reshape.concat import concat
 from pandas.core.reshape.util import cartesian_product
 from pandas.core.series import Series

pandas/core/reshape/reshape.py

@@ -25,7 +25,7 @@
 from pandas.core.arrays.categorical import factorize_from_iterable
 from pandas.core.construction import extract_array
 from pandas.core.frame import DataFrame
-from pandas.core.index import Index, MultiIndex
+from pandas.core.indexes.api import Index, MultiIndex
 from pandas.core.series import Series
 from pandas.core.sorting import (
     compress_group_index,

pandas/core/series.py

@@ -59,15 +59,15 @@
     is_empty_data,
     sanitize_array,
 )
-from pandas.core.index import (
+from pandas.core.indexers import maybe_convert_indices
+from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
+from pandas.core.indexes.api import (
     Float64Index,
     Index,
     InvalidIndexError,
     MultiIndex,
     ensure_index,
 )
-from pandas.core.indexers import maybe_convert_indices
-from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
 import pandas.core.indexes.base as ibase
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.period import PeriodIndex

pandas/core/window/common.py

@@ -11,7 +11,7 @@
 import pandas.core.common as com
 from pandas.core.generic import _shared_docs
 from pandas.core.groupby.base import GroupByMixin
-from pandas.core.index import MultiIndex
+from pandas.core.indexes.api import MultiIndex
 
 _shared_docs = dict(**_shared_docs)
 _doc_template = """

pandas/core/window/rolling.py

@@ -38,7 +38,7 @@
 from pandas._typing import Axis, FrameOrSeries, Scalar
 from pandas.core.base import DataError, PandasObject, SelectionMixin, ShallowMixin
 import pandas.core.common as com
-from pandas.core.index import Index, ensure_index
+from pandas.core.indexes.api import Index, ensure_index
 from pandas.core.window.common import (
     WindowGroupByMixin,
     _doc_template,

pandas/io/formats/format.py

@@ -68,7 +68,7 @@
 from pandas.core.arrays.timedeltas import TimedeltaArray
 from pandas.core.base import PandasObject
 import pandas.core.common as com
-from pandas.core.index import Index, ensure_index
+from pandas.core.indexes.api import Index, ensure_index
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.timedeltas import TimedeltaIndex
 
@@ -984,7 +984,7 @@ def to_html(
         )
 
     def _get_formatted_column_labels(self, frame: "DataFrame") -> List[List[str]]:
-        from pandas.core.index import _sparsify
+        from pandas.core.indexes.multi import _sparsify
 
         columns = frame.columns
 

pandas/io/parsers.py

@@ -50,7 +50,12 @@
 from pandas.core import algorithms
 from pandas.core.arrays import Categorical
 from pandas.core.frame import DataFrame
-from pandas.core.index import Index, MultiIndex, RangeIndex, ensure_index_from_sequences
+from pandas.core.indexes.api import (
+    Index,
+    MultiIndex,
+    RangeIndex,
+    ensure_index_from_sequences,
+)
 from pandas.core.series import Series
 from pandas.core.tools import datetimes as tools
 

pandas/io/pytables.py

@@ -61,7 +61,7 @@
 from pandas.core.arrays.categorical import Categorical
 import pandas.core.common as com
 from pandas.core.computation.pytables import PyTablesExpr, maybe_expression
-from pandas.core.index import ensure_index
+from pandas.core.indexes.api import ensure_index
 
 from pandas.io.common import _stringify_path
 from pandas.io.formats.printing import adjoin, pprint_thing

pandas/plotting/_matplotlib/converter.py

@@ -24,9 +24,8 @@
 )
 from pandas.core.dtypes.generic import ABCSeries
 
-from pandas import get_option
+from pandas import Index, get_option
 import pandas.core.common as com
-from pandas.core.index import Index
 from pandas.core.indexes.datetimes import date_range
 from pandas.core.indexes.period import Period, PeriodIndex, period_range
 import pandas.core.tools.datetimes as tools

pandas/tests/arrays/categorical/test_constructors.py

@@ -16,6 +16,7 @@
     Index,
     Interval,
     IntervalIndex,
+    MultiIndex,
     NaT,
     Series,
     Timestamp,
@@ -285,8 +286,6 @@ def test_constructor_with_generator(self):
         tm.assert_categorical_equal(cat, exp)
 
         # This uses xrange internally
-        from pandas.core.index import MultiIndex
-
         MultiIndex.from_product([range(5), ["a", "b", "c"]])
 
         # check that categories accept generators and sequences

pandas/tests/indexes/test_base.py

@@ -33,8 +33,13 @@
     period_range,
 )
 from pandas.core.algorithms import safe_sort
-from pandas.core.index import ensure_index, ensure_index_from_sequences
-from pandas.core.indexes.api import Index, MultiIndex, _get_combined_index
+from pandas.core.indexes.api import (
+    Index,
+    MultiIndex,
+    _get_combined_index,
+    ensure_index,
+    ensure_index_from_sequences,
+)
 from pandas.tests.indexes.common import Base
 from pandas.tests.indexes.conftest import indices_dict
 import pandas.util.testing as tm

pandas/tests/indexing/multiindex/test_multiindex.py

@@ -20,7 +20,7 @@ def test_multiindex_perf_warn(self):
             }
         ).set_index(["jim", "joe"])
 
-        with tm.assert_produces_warning(PerformanceWarning, clear=[pd.core.index]):
+        with tm.assert_produces_warning(PerformanceWarning):
             df.loc[(1, "z")]
 
         df = df.iloc[[2, 1, 3, 0]]

pandas/tests/series/test_analytics.py

@@ -12,13 +12,13 @@
     Categorical,
     CategoricalIndex,
     DataFrame,
+    MultiIndex,
     Series,
     date_range,
     isna,
     notna,
 )
 from pandas.api.types import is_scalar
-from pandas.core.index import MultiIndex
 from pandas.core.indexes.datetimes import Timestamp
 from pandas.core.indexes.timedeltas import TimedeltaIndex
 import pandas.util.testing as tm