REF: Created pandas.core.arrays

Moved pandas.core.categorical to arrays.

pandas/_libs/parsers.pyx

@@ -55,7 +55,7 @@ from pandas.core.dtypes.common import (
     is_bool_dtype, is_object_dtype,
     is_datetime64_dtype,
     pandas_dtype)
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 from pandas.core.dtypes.concat import union_categoricals
 import pandas.io.common as com
 

pandas/core/api.py

@@ -6,7 +6,7 @@
 
 from pandas.core.algorithms import factorize, unique, value_counts
 from pandas.core.dtypes.missing import isna, isnull, notna, notnull
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 from pandas.core.groupby import Grouper
 from pandas.io.formats.format import set_eng_float_format
 from pandas.core.index import (Index, CategoricalIndex, Int64Index,

pandas/core/arrays/__init__.py

@@ -0,0 +1 @@
+from .categorical import Categorical

pandas/core/dtypes/concat.py

@@ -314,7 +314,7 @@ def union_categoricals(to_union, sort_categories=False, ignore_order=False):
     Categories (3, object): [b, c, a]
     """
     from pandas import Index, Categorical, CategoricalIndex, Series
-    from pandas.core.categorical import _recode_for_categories
+    from pandas.core.arrays.categorical import _recode_for_categories
 
     if len(to_union) == 0:
         raise ValueError('No Categoricals to union')

pandas/core/frame.py

@@ -77,7 +77,7 @@
                                    create_block_manager_from_arrays,
                                    create_block_manager_from_blocks)
 from pandas.core.series import Series
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 import pandas.core.algorithms as algorithms
 from pandas.compat import (range, map, zip, lrange, lmap, lzip, StringIO, u,
                            OrderedDict, raise_with_traceback)

pandas/core/groupby.py

@@ -47,7 +47,7 @@
                               DataError, SpecificationError)
 from pandas.core.index import (Index, MultiIndex,
                                CategoricalIndex, _ensure_index)
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame, _shared_docs
 from pandas.core.internals import BlockManager, make_block

pandas/core/indexes/category.py

@@ -125,7 +125,7 @@ def _create_from_codes(self, codes, categories=None, ordered=None,
         CategoricalIndex
         """
 
-        from pandas.core.categorical import Categorical
+        from pandas.core.arrays import Categorical
         if categories is None:
             categories = self.categories
         if ordered is None:
@@ -162,7 +162,7 @@ def _create_categorical(self, data, categories=None, ordered=None,
         if not isinstance(data, ABCCategorical):
             if ordered is None and dtype is None:
                 ordered = False
-            from pandas.core.categorical import Categorical
+            from pandas.core.arrays import Categorical
             data = Categorical(data, categories=categories, ordered=ordered,
                                dtype=dtype)
         else:
@@ -462,7 +462,7 @@ def where(self, cond, other=None):
             other = self._na_value
         values = np.where(cond, self.values, other)
 
-        from pandas.core.categorical import Categorical
+        from pandas.core.arrays import Categorical
         cat = Categorical(values,
                           categories=self.categories,
                           ordered=self.ordered)
@@ -775,7 +775,7 @@ def _delegate_method(self, name, *args, **kwargs):
     def _add_accessors(cls):
         """ add in Categorical accessor methods """
 
-        from pandas.core.categorical import Categorical
+        from pandas.core.arrays import Categorical
         CategoricalIndex._add_delegate_accessors(
             delegate=Categorical, accessors=["rename_categories",
                                              "reorder_categories",

pandas/core/indexes/multi.py

@@ -1182,7 +1182,7 @@ def from_arrays(cls, arrays, sortorder=None, names=None):
             if len(arrays[i]) != len(arrays[i - 1]):
                 raise ValueError('all arrays must be same length')
 
-        from pandas.core.categorical import _factorize_from_iterables
+        from pandas.core.arrays.categorical import _factorize_from_iterables
 
         labels, levels = _factorize_from_iterables(arrays)
         if names is None:
@@ -1276,7 +1276,7 @@ def from_product(cls, iterables, sortorder=None, names=None):
         MultiIndex.from_arrays : Convert list of arrays to MultiIndex
         MultiIndex.from_tuples : Convert list of tuples to MultiIndex
         """
-        from pandas.core.categorical import _factorize_from_iterables
+        from pandas.core.arrays.categorical import _factorize_from_iterables
         from pandas.core.reshape.util import cartesian_product
 
         if not is_list_like(iterables):
@@ -1749,7 +1749,7 @@ def _get_labels_for_sorting(self):
         for sorting, where we need to disambiguate that -1 is not
         a valid valid
         """
-        from pandas.core.categorical import Categorical
+        from pandas.core.arrays import Categorical
 
         def cats(label):
             return np.arange(np.array(label).max() + 1 if len(label) else 0,

pandas/core/internals.py

@@ -59,7 +59,7 @@
 
 from pandas.core.index import Index, MultiIndex, _ensure_index
 from pandas.core.indexing import maybe_convert_indices, length_of_indexer
-from pandas.core.categorical import Categorical, _maybe_to_categorical
+from pandas.core.arrays.categorical import Categorical, _maybe_to_categorical
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.io.formats.printing import pprint_thing
 

pandas/core/reshape/concat.py

@@ -7,8 +7,8 @@
 from pandas.core.index import (_get_objs_combined_axis,
                                _ensure_index, _get_consensus_names,
                                _all_indexes_same)
-from pandas.core.categorical import (_factorize_from_iterable,
-                                     _factorize_from_iterables)
+from pandas.core.arrays.categorical import (_factorize_from_iterable,
+                                            _factorize_from_iterables)
 from pandas.core.internals import concatenate_block_managers
 from pandas.core import common as com
 from pandas.core.generic import NDFrame

pandas/core/reshape/melt.py

@@ -4,7 +4,7 @@
 
 from pandas.core.dtypes.common import is_list_like
 from pandas import compat
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 
 from pandas.core.dtypes.generic import ABCMultiIndex
 

pandas/core/reshape/reshape.py

@@ -21,7 +21,8 @@
 from pandas.core.sparse.array import SparseArray
 from pandas._libs.sparse import IntIndex
 
-from pandas.core.categorical import Categorical, _factorize_from_iterable
+from pandas.core.arrays import Categorical
+from pandas.core.arrays.categorical import _factorize_from_iterable
 from pandas.core.sorting import (get_group_index, get_compressed_ids,
                                  compress_group_index, decons_obs_group_ids)
 

pandas/core/series.py

@@ -53,7 +53,7 @@
 from pandas.core.indexing import check_bool_indexer, maybe_convert_indices
 from pandas.core import generic, base
 from pandas.core.internals import SingleBlockManager
-from pandas.core.categorical import Categorical, CategoricalAccessor
+from pandas.core.arrays.categorical import Categorical, CategoricalAccessor
 from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
 from pandas.core.indexes.datetimes import DatetimeIndex
 from pandas.core.indexes.timedeltas import TimedeltaIndex

pandas/core/sorting.py

@@ -182,7 +182,7 @@ def indexer_from_factorized(labels, shape, compress=True):
 
 
 def lexsort_indexer(keys, orders=None, na_position='last'):
-    from pandas.core.categorical import Categorical
+    from pandas.core.arrays import Categorical
 
     labels = []
     shape = []

pandas/io/parsers.py

@@ -28,7 +28,7 @@
                                _ensure_index_from_sequences)
 from pandas.core.series import Series
 from pandas.core.frame import DataFrame
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 from pandas.core import algorithms
 from pandas.core.common import AbstractMethodError
 from pandas.io.date_converters import generic_parser

pandas/io/pytables.py

@@ -36,7 +36,8 @@
 from pandas.errors import PerformanceWarning
 from pandas.core.common import _asarray_tuplesafe, _all_none
 from pandas.core.algorithms import match, unique
-from pandas.core.categorical import Categorical, _factorize_from_iterables
+from pandas.core.arrays.categorical import (Categorical,
+                                            _factorize_from_iterables)
 from pandas.core.internals import (BlockManager, make_block,
                                    _block2d_to_blocknd,
                                    _factor_indexer, _block_shape)

pandas/io/stata.py

@@ -24,7 +24,7 @@
 from pandas.compat import (lrange, lmap, lzip, text_type, string_types, range,
                            zip, BytesIO)
 from pandas.core.base import StringMixin
-from pandas.core.categorical import Categorical
+from pandas.core.arrays import Categorical
 from pandas.core.dtypes.common import (is_categorical_dtype, _ensure_object,
                                        is_datetime64_dtype)
 from pandas.core.frame import DataFrame

pandas/tests/categorical/test_api.py

@@ -7,7 +7,7 @@
 import pandas.util.testing as tm
 from pandas import Categorical, CategoricalIndex, Index, Series, DataFrame
 
-from pandas.core.categorical import _recode_for_categories
+from pandas.core.arrays.categorical import _recode_for_categories
 from pandas.tests.categorical.common import TestCategorical
 
 

pandas/tests/series/test_api.py

@@ -511,8 +511,7 @@ def test_cat_accessor(self):
 
     def test_cat_accessor_api(self):
         # GH 9322
-        from pandas.core.categorical import CategoricalAccessor
-
+        from pandas.core.arrays.categorical import CategoricalAccessor
         assert Series.cat is CategoricalAccessor
         s = Series(list('aabbcde')).astype('category')
         assert isinstance(s.cat, CategoricalAccessor)