rename types -> typed to avoid conflict with std library

asv_bench/benchmarks/categoricals.py

@@ -1,6 +1,6 @@
 from .pandas_vb_common import *
 try:
-    from pandas.core.types.concat import union_categoricals
+    from pandas.core.typed.concat import union_categoricals
 except ImportError:
     pass
 

pandas/api/types/__init__.py

@@ -1,4 +1,4 @@
 """ public toolkit API """
 
-from pandas.core.types.api import *  # noqa
+from pandas.core.typed.api import *  # noqa
 del np  # noqa

pandas/compat/numpy/function.py

@@ -22,7 +22,7 @@
 from pandas.util.validators import (validate_args, validate_kwargs,
                                     validate_args_and_kwargs)
 from pandas.errors import UnsupportedFunctionCall
-from pandas.core.types.common import is_integer, is_bool
+from pandas.core.typed.common import is_integer, is_bool
 from pandas.compat import OrderedDict
 
 

pandas/computation/ops.py

@@ -7,7 +7,7 @@
 
 import numpy as np
 
-from pandas.core.types.common import is_list_like, is_scalar
+from pandas.core.typed.common import is_list_like, is_scalar
 import pandas as pd
 from pandas.compat import PY3, string_types, text_type
 import pandas.core.common as com

pandas/computation/pytables.py

@@ -5,7 +5,7 @@
 import numpy as np
 import pandas as pd
 
-from pandas.core.types.common import is_list_like
+from pandas.core.typed.common import is_list_like
 import pandas.core.common as com
 from pandas.compat import u, string_types, DeepChainMap
 from pandas.core.base import StringMixin

pandas/core/algorithms.py

@@ -7,11 +7,11 @@
 import numpy as np
 
 from pandas import compat, _np_version_under1p8
-from pandas.core.types.cast import maybe_promote
-from pandas.core.types.generic import (
+from pandas.core.typed.cast import maybe_promote
+from pandas.core.typed.generic import (
     ABCSeries, ABCIndex,
     ABCIndexClass, ABCCategorical)
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     is_unsigned_integer_dtype, is_signed_integer_dtype,
     is_integer_dtype, is_complex_dtype,
     is_categorical_dtype, is_sparse,
@@ -26,7 +26,7 @@
     _ensure_float64, _ensure_uint64,
     _ensure_int64)
 from pandas.compat.numpy import _np_version_under1p10
-from pandas.core.types.missing import isnull
+from pandas.core.typed.missing import isnull
 
 import pandas.core.common as com
 from pandas.compat import string_types

pandas/core/api.py

@@ -5,7 +5,7 @@
 import numpy as np
 
 from pandas.core.algorithms import factorize, unique, value_counts
-from pandas.core.types.missing import isnull, notnull
+from pandas.core.typed.missing import isnull, notnull
 from pandas.core.categorical import Categorical
 from pandas.core.groupby import Grouper
 from pandas.formats.format import set_eng_float_format

pandas/core/base.py

@@ -6,9 +6,9 @@
 from pandas.compat import builtins
 import numpy as np
 
-from pandas.core.types.missing import isnull
-from pandas.core.types.generic import ABCDataFrame, ABCSeries, ABCIndexClass
-from pandas.core.types.common import is_object_dtype, is_list_like, is_scalar
+from pandas.core.typed.missing import isnull
+from pandas.core.typed.generic import ABCDataFrame, ABCSeries, ABCIndexClass
+from pandas.core.typed.common import is_object_dtype, is_list_like, is_scalar
 from pandas.util.validators import validate_bool_kwarg
 
 from pandas.core import common as com
@@ -725,7 +725,7 @@ def _aggregate_multiple_funcs(self, arg, _level, _axis):
             # we are concatting non-NDFrame objects,
             # e.g. a list of scalars
 
-            from pandas.core.types.cast import is_nested_object
+            from pandas.core.typed.cast import is_nested_object
             from pandas import Series
             result = Series(results, index=keys, name=self.name)
             if is_nested_object(result):

pandas/core/categorical.py

@@ -8,14 +8,14 @@
 from pandas.compat import u, lzip
 from pandas._libs import lib, algos as libalgos
 
-from pandas.core.types.generic import (
+from pandas.core.typed.generic import (
     ABCSeries, ABCIndexClass, ABCCategoricalIndex)
-from pandas.core.types.missing import isnull, notnull
-from pandas.core.types.cast import (
+from pandas.core.typed.missing import isnull, notnull
+from pandas.core.typed.cast import (
     maybe_infer_to_datetimelike,
     coerce_indexer_dtype)
-from pandas.core.types.dtypes import CategoricalDtype
-from pandas.core.types.common import (
+from pandas.core.typed.dtypes import CategoricalDtype
+from pandas.core.typed.common import (
     _ensure_int64,
     _ensure_object,
     _ensure_platform_int,
@@ -1218,7 +1218,7 @@ def value_counts(self, dropna=True):
 
         """
         from numpy import bincount
-        from pandas.core.types.missing import isnull
+        from pandas.core.typed.missing import isnull
         from pandas.core.series import Series
         from pandas.core.index import CategoricalIndex
 

pandas/core/common.py

@@ -13,12 +13,12 @@
 from pandas import compat
 from pandas.compat import long, zip, iteritems
 from pandas.core.config import get_option
-from pandas.core.types.generic import ABCSeries
-from pandas.core.types.common import _NS_DTYPE
-from pandas.core.types.inference import _iterable_not_string
-from pandas.core.types.missing import isnull
+from pandas.core.typed.generic import ABCSeries
+from pandas.core.typed.common import _NS_DTYPE
+from pandas.core.typed.inference import _iterable_not_string
+from pandas.core.typed.missing import isnull
 from pandas.api import types
-from pandas.core.types import common
+from pandas.core.typed import common
 
 # compat
 from pandas.errors import (  # noqa
@@ -60,7 +60,7 @@ def wrapper(*args, **kwargs):
             warnings.warn("pandas.core.common.{t} is deprecated. "
                           "These are not longer public API functions, "
                           "but can be imported from "
-                          "pandas.core.types.common.{t} instead".format(t=t),
+                          "pandas.core.typed.common.{t} instead".format(t=t),
                           DeprecationWarning, stacklevel=3)
             return getattr(common, t)(*args, **kwargs)
         return wrapper
@@ -73,7 +73,7 @@ def wrapper(*args, **kwargs):
 def array_equivalent(*args, **kwargs):
     warnings.warn("'pandas.core.common.array_equivalent' is deprecated and "
                   "is no longer public API", DeprecationWarning, stacklevel=2)
-    from pandas.core.types import missing
+    from pandas.core.typed import missing
     return missing.array_equivalent(*args, **kwargs)
 
 

pandas/core/config_init.py

@@ -415,7 +415,7 @@ def mpl_style_cb(key):
 
 
 def use_inf_as_null_cb(key):
-    from pandas.core.types.missing import _use_inf_as_null
+    from pandas.core.typed.missing import _use_inf_as_null
     _use_inf_as_null(key)
 
 

pandas/core/frame.py

@@ -23,7 +23,7 @@
 import numpy as np
 import numpy.ma as ma
 
-from pandas.core.types.cast import (
+from pandas.core.typed.cast import (
     maybe_upcast, infer_dtype_from_scalar,
     maybe_cast_to_datetime,
     maybe_infer_to_datetimelike,
@@ -33,7 +33,7 @@
     coerce_to_dtypes,
     maybe_upcast_putmask,
     find_common_type)
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     is_categorical_dtype,
     is_object_dtype,
     is_extension_type,
@@ -56,7 +56,7 @@
     is_iterator,
     is_sequence,
     is_named_tuple)
-from pandas.core.types.missing import isnull, notnull
+from pandas.core.typed.missing import isnull, notnull
 
 from pandas.core.common import (_try_sort,
                                 _default_index,

pandas/core/generic.py

@@ -10,7 +10,7 @@
 import pandas as pd
 
 from pandas._libs import tslib, lib
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     _coerce_to_dtype,
     _ensure_int64,
     needs_i8_conversion,
@@ -24,9 +24,9 @@
     is_list_like,
     is_dict_like,
     is_re_compilable)
-from pandas.core.types.cast import maybe_promote, maybe_upcast_putmask
-from pandas.core.types.missing import isnull, notnull
-from pandas.core.types.generic import ABCSeries, ABCPanel
+from pandas.core.typed.cast import maybe_promote, maybe_upcast_putmask
+from pandas.core.typed.missing import isnull, notnull
+from pandas.core.typed.generic import ABCSeries, ABCPanel
 
 from pandas.core.common import (_values_from_object,
                                 _maybe_box_datetimelike,

pandas/core/groupby.py

@@ -15,7 +15,7 @@
 from pandas.compat.numpy import function as nv, _np_version_under1p8
 from pandas.compat import set_function_name
 
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     is_numeric_dtype,
     is_timedelta64_dtype, is_datetime64_dtype,
     is_categorical_dtype,
@@ -34,8 +34,8 @@
     _ensure_object,
     _ensure_categorical,
     _ensure_float)
-from pandas.core.types.cast import maybe_downcast_to_dtype
-from pandas.core.types.missing import isnull, notnull, _maybe_fill
+from pandas.core.typed.cast import maybe_downcast_to_dtype
+from pandas.core.typed.missing import isnull, notnull, _maybe_fill
 
 from pandas.core.common import (_values_from_object, AbstractMethodError,
                                 _default_index)
@@ -4080,7 +4080,7 @@ def _apply_to_column_groupbys(self, func):
     def count(self):
         """ Compute count of group, excluding missing values """
         from functools import partial
-        from pandas.core.types.missing import _isnull_ndarraylike as isnull
+        from pandas.core.typed.missing import _isnull_ndarraylike as isnull
 
         data, _ = self._get_data_to_aggregate()
         ids, _, ngroups = self.grouper.group_info

pandas/core/indexing.py

@@ -4,8 +4,8 @@
 import numpy as np
 from pandas.compat import range, zip
 import pandas.compat as compat
-from pandas.core.types.generic import ABCDataFrame, ABCPanel, ABCSeries
-from pandas.core.types.common import (
+from pandas.core.typed.generic import ABCDataFrame, ABCPanel, ABCSeries
+from pandas.core.typed.common import (
     is_integer_dtype,
     is_integer, is_float,
     is_list_like,
@@ -15,7 +15,7 @@
     is_sparse,
     _is_unorderable_exception,
     _ensure_platform_int)
-from pandas.core.types.missing import isnull, _infer_fill_value
+from pandas.core.typed.missing import isnull, _infer_fill_value
 
 from pandas.core.index import Index, MultiIndex
 

pandas/core/internals.py

@@ -9,10 +9,10 @@
 
 from pandas.core.base import PandasObject
 
-from pandas.core.types.dtypes import (
+from pandas.core.typed.dtypes import (
     ExtensionDtype, DatetimeTZDtype,
     CategoricalDtype)
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     _TD_DTYPE, _NS_DTYPE,
     _ensure_int64, _ensure_platform_int,
     is_integer,
@@ -31,7 +31,7 @@
     is_re_compilable,
     is_scalar,
     _get_dtype)
-from pandas.core.types.cast import (
+from pandas.core.typed.cast import (
     maybe_downcast_to_dtype,
     maybe_convert_string_to_object,
     maybe_upcast,
@@ -41,13 +41,13 @@
     maybe_convert_objects,
     astype_nansafe,
     find_common_type)
-from pandas.core.types.missing import (
+from pandas.core.typed.missing import (
     isnull, array_equivalent,
     _is_na_compat,
     is_null_datelike_scalar)
-import pandas.core.types.concat as _concat
+import pandas.core.typed.concat as _concat
 
-from pandas.core.types.generic import ABCSeries
+from pandas.core.typed.generic import ABCSeries
 from pandas.core.common import is_null_slice
 import pandas.core.algorithms as algos
 

pandas/core/missing.py

@@ -8,7 +8,7 @@
 from pandas._libs import algos, lib
 
 from pandas.compat import range, string_types
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     is_numeric_v_string_like,
     is_float_dtype,
     is_datetime64_dtype,
@@ -19,8 +19,8 @@
     needs_i8_conversion,
     _ensure_float64)
 
-from pandas.core.types.cast import infer_dtype_from_array
-from pandas.core.types.missing import isnull
+from pandas.core.typed.cast import infer_dtype_from_array
+from pandas.core.typed.missing import isnull
 
 
 def mask_missing(arr, values_to_mask):

pandas/core/nanops.py

@@ -11,7 +11,7 @@
 
 from pandas import compat
 from pandas._libs import tslib, algos, lib
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     _get_dtype,
     is_float, is_scalar,
     is_integer, is_complex, is_float_dtype,
@@ -21,8 +21,8 @@
     is_datetime64_dtype, is_timedelta64_dtype,
     is_datetime_or_timedelta_dtype,
     is_int_or_datetime_dtype, is_any_int_dtype)
-from pandas.core.types.cast import _int64_max, maybe_upcast_putmask
-from pandas.core.types.missing import isnull, notnull
+from pandas.core.typed.cast import _int64_max, maybe_upcast_putmask
+from pandas.core.typed.missing import isnull, notnull
 
 from pandas.core.common import _values_from_object
 

pandas/core/ops.py

@@ -23,8 +23,8 @@
 
 from pandas.errors import PerformanceWarning
 from pandas.core.common import _values_from_object, _maybe_match_name
-from pandas.core.types.missing import notnull, isnull
-from pandas.core.types.common import (
+from pandas.core.typed.missing import notnull, isnull
+from pandas.core.typed.common import (
     needs_i8_conversion,
     is_datetimelike_v_numeric,
     is_integer_dtype, is_categorical_dtype,
@@ -34,8 +34,8 @@
     is_list_like,
     is_scalar,
     _ensure_object)
-from pandas.core.types.cast import maybe_upcast_putmask, find_common_type
-from pandas.core.types.generic import ABCSeries, ABCIndex, ABCPeriodIndex
+from pandas.core.typed.cast import maybe_upcast_putmask, find_common_type
+from pandas.core.typed.generic import ABCSeries, ABCIndex, ABCPeriodIndex
 
 # -----------------------------------------------------------------------------
 # Functions that add arithmetic methods to objects, given arithmetic factory

pandas/core/panel.py

@@ -6,13 +6,13 @@
 
 import numpy as np
 import warnings
-from pandas.core.types.cast import (
+from pandas.core.typed.cast import (
     infer_dtype_from_scalar,
     maybe_cast_item)
-from pandas.core.types.common import (
+from pandas.core.typed.common import (
     is_integer, is_list_like,
     is_string_like, is_scalar)
-from pandas.core.types.missing import notnull
+from pandas.core.typed.missing import notnull
 
 import pandas.computation.expressions as expressions
 import pandas.core.common as com