REF: de-privatize indexes.api names

pandas/core/groupby/generic.py

@@ -63,7 +63,7 @@
     _transform_template,
     get_groupby,
 )
-from pandas.core.index import Index, MultiIndex, _all_indexes_same
+from pandas.core.indexes.api import Index, MultiIndex, all_indexes_same
 import pandas.core.indexes.base as ibase
 from pandas.core.internals import BlockManager, make_block
 from pandas.core.series import Series
@@ -1186,7 +1186,7 @@ def first_not_none(values):
             if isinstance(v, (np.ndarray, Index, Series)):
                 if isinstance(v, Series):
                     applied_index = self._selected_obj._get_axis(self.axis)
-                    all_indexed_same = _all_indexes_same([x.index for x in values])
+                    all_indexed_same = all_indexes_same([x.index for x in values])
                     singular_series = len(values) == 1 and applied_index.nlevels == 1
 
                     # GH3596

pandas/core/index.py

@@ -13,13 +13,9 @@
     RangeIndex,
     TimedeltaIndex,
     UInt64Index,
-    _all_indexes_same,
-    _get_combined_index,
-    _get_consensus_names,
-    _get_objs_combined_axis,
     _new_Index,
-    _union_indexes,
     ensure_index,
     ensure_index_from_sequences,
+    get_objs_combined_axis,
 )
 from pandas.core.indexes.multi import _sparsify  # noqa:F401

pandas/core/indexes/api.py

@@ -6,23 +6,23 @@
 import pandas.core.common as com
 from pandas.core.indexes.base import (
     Index,
+    InvalidIndexError,
     _new_Index,
     ensure_index,
     ensure_index_from_sequences,
 )
-from pandas.core.indexes.base import InvalidIndexError  # noqa:F401
-from pandas.core.indexes.category import CategoricalIndex  # noqa:F401
+from pandas.core.indexes.category import CategoricalIndex
 from pandas.core.indexes.datetimes import DatetimeIndex
-from pandas.core.indexes.interval import IntervalIndex  # noqa:F401
-from pandas.core.indexes.multi import MultiIndex  # noqa:F401
-from pandas.core.indexes.numeric import (  # noqa:F401
+from pandas.core.indexes.interval import IntervalIndex
+from pandas.core.indexes.multi import MultiIndex
+from pandas.core.indexes.numeric import (
     Float64Index,
     Int64Index,
     NumericIndex,
     UInt64Index,
 )
 from pandas.core.indexes.period import PeriodIndex
-from pandas.core.indexes.range import RangeIndex  # noqa:F401
+from pandas.core.indexes.range import RangeIndex
 from pandas.core.indexes.timedeltas import TimedeltaIndex
 
 _sort_msg = textwrap.dedent(
@@ -57,15 +57,14 @@
     "NaT",
     "ensure_index",
     "ensure_index_from_sequences",
-    "_get_combined_index",
-    "_get_objs_combined_axis",
-    "_union_indexes",
-    "_get_consensus_names",
-    "_all_indexes_same",
+    "get_objs_combined_axis",
+    "union_indexes",
+    "get_consensus_names",
+    "all_indexes_same",
 ]
 
 
-def _get_objs_combined_axis(objs, intersect=False, axis=0, sort=True):
+def get_objs_combined_axis(objs, intersect=False, axis=0, sort=True):
     """
     Extract combined index: return intersection or union (depending on the
     value of "intersect") of indexes on given axis, or None if all objects
@@ -137,7 +136,7 @@ def _get_combined_index(indexes, intersect=False, sort=False):
         for other in indexes[1:]:
             index = index.intersection(other)
     else:
-        index = _union_indexes(indexes, sort=sort)
+        index = union_indexes(indexes, sort=sort)
         index = ensure_index(index)
 
     if sort:
@@ -148,7 +147,7 @@ def _get_combined_index(indexes, intersect=False, sort=False):
     return index
 
 
-def _union_indexes(indexes, sort=True):
+def union_indexes(indexes, sort=True):
     """
     Return the union of indexes.
 
@@ -217,7 +216,7 @@ def conv(i):
 
                 return _unique_indices(indexes)
 
-        name = _get_consensus_names(indexes)[0]
+        name = get_consensus_names(indexes)[0]
         if name != index.name:
             index = index._shallow_copy(name=name)
         return index
@@ -264,7 +263,7 @@ def _sanitize_and_check(indexes):
         return indexes, "array"
 
 
-def _get_consensus_names(indexes):
+def get_consensus_names(indexes):
     """
     Give a consensus 'names' to indexes.
 
@@ -289,7 +288,7 @@ def _get_consensus_names(indexes):
     return [None] * indexes[0].nlevels
 
 
-def _all_indexes_same(indexes):
+def all_indexes_same(indexes):
     """
     Determine if all indexes contain the same elements.
 

pandas/core/internals/construction.py

@@ -37,13 +37,9 @@
 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,
-    _get_objs_combined_axis,
-    _union_indexes,
-    ensure_index,
-)
+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.internals import (
     create_block_manager_from_arrays,
     create_block_manager_from_blocks,
@@ -345,9 +341,9 @@ def extract_index(data):
             raise ValueError("If using all scalar values, you must pass an index")
 
         if have_series:
-            index = _union_indexes(indexes)
+            index = union_indexes(indexes)
         elif have_dicts:
-            index = _union_indexes(indexes, sort=False)
+            index = union_indexes(indexes, sort=False)
 
         if have_raw_arrays:
             lengths = list(set(raw_lengths))
@@ -493,7 +489,7 @@ def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
 
 def _list_of_series_to_arrays(data, columns, coerce_float=False, dtype=None):
     if columns is None:
-        columns = _get_objs_combined_axis(data, sort=False)
+        columns = get_objs_combined_axis(data, sort=False)
 
     indexer_cache = {}
 

pandas/core/reshape/concat.py

@@ -13,11 +13,11 @@
 )
 import pandas.core.common as com
 from pandas.core.generic import NDFrame
-from pandas.core.index import (
-    _all_indexes_same,
-    _get_consensus_names,
-    _get_objs_combined_axis,
+from pandas.core.indexes.api import (
+    all_indexes_same,
     ensure_index,
+    get_consensus_names,
+    get_objs_combined_axis,
 )
 import pandas.core.indexes.base as ibase
 from pandas.core.internals import concatenate_block_managers
@@ -523,7 +523,7 @@ def _get_new_axes(self):
     def _get_comb_axis(self, i):
         data_axis = self.objs[0]._get_block_manager_axis(i)
         try:
-            return _get_objs_combined_axis(
+            return get_objs_combined_axis(
                 self.objs, axis=data_axis, intersect=self.intersect, sort=self.sort
             )
         except IndexError:
@@ -617,7 +617,7 @@ def _make_concat_multiindex(indexes, keys, levels=None, names=None) -> MultiInde
         else:
             levels = [ensure_index(x) for x in levels]
 
-    if not _all_indexes_same(indexes):
+    if not all_indexes_same(indexes):
         codes_list = []
 
         # things are potentially different sizes, so compute the exact codes
@@ -660,7 +660,7 @@ def _make_concat_multiindex(indexes, keys, levels=None, names=None) -> MultiInde
                 )
 
             # also copies
-            names = names + _get_consensus_names(indexes)
+            names = names + get_consensus_names(indexes)
 
         return MultiIndex(
             levels=levels, codes=codes_list, names=names, verify_integrity=False

pandas/core/reshape/pivot.py

@@ -9,7 +9,7 @@
 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.index 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
@@ -541,7 +541,7 @@ def crosstab(
     rownames = _get_names(index, rownames, prefix="row")
     colnames = _get_names(columns, colnames, prefix="col")
 
-    common_idx = _get_objs_combined_axis(index + columns, intersect=True, sort=False)
+    common_idx = get_objs_combined_axis(index + columns, intersect=True, sort=False)
 
     data = {}
     data.update(zip(rownames, index))

pandas/tests/indexes/test_base.py

@@ -33,12 +33,8 @@
     period_range,
 )
 from pandas.core.algorithms import safe_sort
-from pandas.core.index import (
-    _get_combined_index,
-    ensure_index,
-    ensure_index_from_sequences,
-)
-from pandas.core.indexes.api import Index, MultiIndex
+from pandas.core.index import ensure_index, ensure_index_from_sequences
+from pandas.core.indexes.api import Index, MultiIndex, _get_combined_index
 from pandas.tests.indexes.common import Base
 from pandas.tests.indexes.conftest import indices_dict
 import pandas.util.testing as tm