REF: implement module for shared constructor functions

pandas/core/algorithms.py

@@ -50,6 +50,7 @@
 from pandas.core.dtypes.missing import isna, na_value_for_dtype
 
 from pandas.core import common as com
+from pandas.core.construction import array
 from pandas.core.indexers import validate_indices
 
 _shared_docs = {}  # type: Dict[str, str]
@@ -1855,8 +1856,6 @@ def searchsorted(arr, value, side="left", sorter=None):
         and is_integer_dtype(arr)
         and (is_integer(value) or is_integer_dtype(value))
     ):
-        from .arrays.array_ import array
-
         # if `arr` and `value` have different dtypes, `arr` would be
         # recast by numpy, causing a slow search.
         # Before searching below, we therefore try to give `value` the

pandas/core/api.py

@@ -20,7 +20,8 @@
     IntervalDtype,
     DatetimeTZDtype,
 )
-from pandas.core.arrays import Categorical, array
+from pandas.core.arrays import Categorical
+from pandas.core.construction import array
 from pandas.core.groupby import Grouper, NamedAgg
 from pandas.io.formats.format import set_eng_float_format
 from pandas.core.index import (

pandas/core/arrays/__init__.py

@@ -1,4 +1,3 @@
-from .array_ import array  # noqa: F401
 from .base import (  # noqa: F401
     ExtensionArray,
     ExtensionOpsMixin,

pandas/core/arrays/categorical.py

@@ -60,6 +60,7 @@
 )
 from pandas.core.base import NoNewAttributesMixin, PandasObject, _shared_docs
 import pandas.core.common as com
+from pandas.core.construction import extract_array, sanitize_array
 from pandas.core.missing import interpolate_2d
 from pandas.core.sorting import nargsort
 
@@ -374,7 +375,6 @@ def __init__(
             values = maybe_infer_to_datetimelike(values, convert_dates=True)
             if not isinstance(values, np.ndarray):
                 values = _convert_to_list_like(values)
-                from pandas.core.internals.construction import sanitize_array
 
                 # By convention, empty lists result in object dtype:
                 if len(values) == 0:
@@ -2162,8 +2162,6 @@ def __setitem__(self, key, value):
             If (one or more) Value is not in categories or if a assigned
             `Categorical` does not have the same categories
         """
-        from pandas.core.internals.arrays import extract_array
-
         value = extract_array(value, extract_numpy=True)
 
         # require identical categories set
@@ -2526,8 +2524,6 @@ def isin(self, values):
         >>> s.isin(['lama'])
         array([ True, False,  True, False,  True, False])
         """
-        from pandas.core.internals.construction import sanitize_array
-
         if not is_list_like(values):
             raise TypeError(
                 "only list-like objects are allowed to be passed"

pandas/core/arrays/numpy_.py

@@ -16,6 +16,7 @@
 from pandas import compat
 from pandas.core import nanops
 from pandas.core.algorithms import searchsorted, take, unique
+from pandas.core.construction import extract_array
 from pandas.core.missing import backfill_1d, pad_1d
 
 from .base import ExtensionArray, ExtensionOpsMixin
@@ -222,8 +223,6 @@ def __getitem__(self, item):
         return result
 
     def __setitem__(self, key, value):
-        from pandas.core.internals.arrays import extract_array
-
         value = extract_array(value, extract_numpy=True)
 
         if not lib.is_scalar(key) and is_list_like(key):

pandas/core/arrays/sparse.py

@@ -52,6 +52,7 @@
 from pandas.core.arrays import ExtensionArray, ExtensionOpsMixin
 from pandas.core.base import PandasObject
 import pandas.core.common as com
+from pandas.core.construction import sanitize_array
 from pandas.core.missing import interpolate_2d
 import pandas.core.ops as ops
 
@@ -664,7 +665,6 @@ def __init__(
         if not is_array_like(data):
             try:
                 # probably shared code in sanitize_series
-                from pandas.core.internals.construction import sanitize_array
 
                 data = sanitize_array(data, index=None)
             except ValueError: