CLN: Remove some dtype methods from API

Removes the following from the public API:

* pandas.api.types.is_sequence
* pandas.api.types.is_any_int_dtype
* pandas.api.types.is_floating_dtype

xref gh-16163.
xref gh-16189.

Author: gfyoung

pandas/core/dtypes/api.py

@@ -1,7 +1,5 @@
 # flake8: noqa
 
-import sys
-
 from .common import (pandas_dtype,
                      is_dtype_equal,
                      is_extension_type,
@@ -59,24 +57,3 @@
                      is_list_like,
                      is_hashable,
                      is_named_tuple)
-
-
-# deprecated
-m = sys.modules['pandas.core.dtypes.api']
-
-for t in ['is_any_int_dtype', 'is_floating_dtype', 'is_sequence']:
-
-    def outer(t=t):
-
-        def wrapper(arr_or_dtype):
-            import warnings
-            import pandas
-            warnings.warn("{t} is deprecated and will be "
-                          "removed in a future version".format(t=t),
-                          FutureWarning, stacklevel=3)
-            return getattr(pandas.core.dtypes.common, t)(arr_or_dtype)
-        return wrapper
-
-    setattr(m, t, outer(t))
-
-del sys, m, t, outer

pandas/core/dtypes/common.py

@@ -796,11 +796,11 @@ def is_dtype_union_equal(source, target):
 def is_any_int_dtype(arr_or_dtype):
     """Check whether the provided array or dtype is of an integer dtype.
 
-    .. deprecated:: 0.20.0
-
     In this function, timedelta64 instances are also considered "any-integer"
     type objects and will return True.
 
+    This function is internal and should not be exposed in the public API.
+
     Parameters
     ----------
     arr_or_dtype : array-like
@@ -1560,6 +1560,8 @@ def is_float_dtype(arr_or_dtype):
     """
     Check whether the provided array or dtype is of a float dtype.
 
+    This function is internal and should not be exposed in the public API.
+
     Parameters
     ----------
     arr_or_dtype : array-like

pandas/tests/api/test_types.py

@@ -28,7 +28,7 @@ class TestTypes(Base):
                'is_list_like', 'is_hashable', 'is_array_like',
                'is_named_tuple',
                'pandas_dtype', 'union_categoricals', 'infer_dtype']
-    deprecated = ['is_any_int_dtype', 'is_floating_dtype', 'is_sequence']
+    deprecated = []
     dtypes = ['CategoricalDtype', 'DatetimeTZDtype',
               'PeriodDtype', 'IntervalDtype']