rename types -> typed to avoid conflict with std library

Author: jreback

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)