CLN:Remove unused **kwargs from user facing methods

Addresses GH18748 for user facing methods

Author: kprestel

pandas/core/groupby/groupby.py

@@ -1742,7 +1742,12 @@ def cummin(self, axis=0, **kwargs):
         if axis != 0:
             return self.apply(lambda x: np.minimum.accumulate(x, axis))
 
-        return self._cython_transform('cummin', numeric_only=False)
+        if kwargs:
+            numeric_only = kwargs.get('numeric_only')
+        else:
+            numeric_only = False
+
+        return self._cython_transform('cummin', numeric_only=numeric_only)
 
     @Substitution(name='groupby')
     @Appender(_doc_template)
@@ -1751,7 +1756,12 @@ def cummax(self, axis=0, **kwargs):
         if axis != 0:
             return self.apply(lambda x: np.maximum.accumulate(x, axis))
 
-        return self._cython_transform('cummax', numeric_only=False)
+        if kwargs:
+            numeric_only = kwargs.get('numeric_only')
+        else:
+            numeric_only = False
+
+        return self._cython_transform('cummax', numeric_only=numeric_only)
 
     def _get_cythonized_result(self, how, grouper, aggregate=False,
                                cython_dtype=None, needs_values=False,

pandas/io/pytables.py

@@ -707,6 +707,9 @@ def select(self, key, where=None, start=None, stop=None, columns=None,
         auto_close : boolean, should automatically close the store when
             finished, default is False
 
+        kwargs
+            Additional keyword arguments passed to Storer
+
         Returns
         -------
         The selected object
@@ -718,7 +721,7 @@ def select(self, key, where=None, start=None, stop=None, columns=None,
 
         # create the storer and axes
         where = _ensure_term(where, scope_level=1)
-        s = self._create_storer(group)
+        s = self._create_storer(group, **kwargs)
         s.infer_axes()
 
         # function to call on iteration
@@ -1675,7 +1678,7 @@ def cvalues(self):
     def __iter__(self):
         return iter(self.values)
 
-    def maybe_set_size(self, min_itemsize=None, **kwargs):
+    def maybe_set_size(self, min_itemsize=None):
         """ maybe set a string col itemsize:
                min_itemsize can be an integer or a dict with this columns name
                with an integer size """
@@ -1688,13 +1691,13 @@ def maybe_set_size(self, min_itemsize=None, **kwargs):
                 self.typ = _tables(
                 ).StringCol(itemsize=min_itemsize, pos=self.pos)
 
-    def validate(self, handler, append, **kwargs):
+    def validate(self, handler, append):
         self.validate_names()
 
     def validate_names(self):
         pass
 
-    def validate_and_set(self, handler, append, **kwargs):
+    def validate_and_set(self, handler, append):
         self.set_table(handler.table)
         self.validate_col()
         self.validate_attr(append)
@@ -3452,7 +3455,7 @@ def validate_data_columns(self, data_columns, min_itemsize):
         return [c for c in data_columns if c in axis_labels]
 
     def create_axes(self, axes, obj, validate=True, nan_rep=None,
-                    data_columns=None, min_itemsize=None, **kwargs):
+                    data_columns=None, min_itemsize=None):
         """ create and return the axes
         leagcy tables create an indexable column, indexable index,
         non-indexable fields
@@ -3773,7 +3776,7 @@ def read_coordinates(self, where=None, start=None, stop=None, **kwargs):
 
         return Index(coords)
 
-    def read_column(self, column, where=None, start=None, stop=None, **kwargs):
+    def read_column(self, column, where=None, start=None, stop=None):
         """return a single column from the table, generally only indexables
         are interesting
         """
@@ -4728,7 +4731,7 @@ class Selection(object):
 
     """
 
-    def __init__(self, table, where=None, start=None, stop=None, **kwargs):
+    def __init__(self, table, where=None, start=None, stop=None):
         self.table = table
         self.where = where
         self.start = start