remove trailing commas for pandas-dev#35925 (pandas-dev#36029)

Author: Anshoo-Rajput

pandas/io/parquet.py

@@ -128,7 +128,7 @@ def write(
             self.api.parquet.write_table(table, path, compression=compression, **kwargs)
 
     def read(
-        self, path, columns=None, storage_options: StorageOptions = None, **kwargs,
+        self, path, columns=None, storage_options: StorageOptions = None, **kwargs
     ):
         if is_fsspec_url(path) and "filesystem" not in kwargs:
             import_optional_dependency("fsspec")
@@ -218,7 +218,7 @@ def write(
             )
 
     def read(
-        self, path, columns=None, storage_options: StorageOptions = None, **kwargs,
+        self, path, columns=None, storage_options: StorageOptions = None, **kwargs
     ):
         if is_fsspec_url(path):
             fsspec = import_optional_dependency("fsspec")

pandas/io/parsers.py

@@ -1967,10 +1967,6 @@ def _do_date_conversions(self, names, data):
 
 
 class CParserWrapper(ParserBase):
-    """
-
-    """
-
     def __init__(self, src, **kwds):
         self.kwds = kwds
         kwds = kwds.copy()

pandas/io/pytables.py

@@ -2931,7 +2931,7 @@ def read_index_node(
         # If the index was an empty array write_array_empty() will
         # have written a sentinel. Here we replace it with the original.
         if "shape" in node._v_attrs and np.prod(node._v_attrs.shape) == 0:
-            data = np.empty(node._v_attrs.shape, dtype=node._v_attrs.value_type,)
+            data = np.empty(node._v_attrs.shape, dtype=node._v_attrs.value_type)
         kind = _ensure_decoded(node._v_attrs.kind)
         name = None
 
@@ -4103,7 +4103,7 @@ def create_description(
         return d
 
     def read_coordinates(
-        self, where=None, start: Optional[int] = None, stop: Optional[int] = None,
+        self, where=None, start: Optional[int] = None, stop: Optional[int] = None
     ):
         """
         select coordinates (row numbers) from a table; return the
@@ -4374,7 +4374,7 @@ def write_data_chunk(
             self.table.flush()
 
     def delete(
-        self, where=None, start: Optional[int] = None, stop: Optional[int] = None,
+        self, where=None, start: Optional[int] = None, stop: Optional[int] = None
     ):
 
         # delete all rows (and return the nrows)
@@ -4805,7 +4805,7 @@ def _convert_index(name: str, index: Index, encoding: str, errors: str) -> Index
     if inferred_type == "date":
         converted = np.asarray([v.toordinal() for v in values], dtype=np.int32)
         return IndexCol(
-            name, converted, "date", _tables().Time32Col(), index_name=index_name,
+            name, converted, "date", _tables().Time32Col(), index_name=index_name
         )
     elif inferred_type == "string":
 
@@ -4821,13 +4821,13 @@ def _convert_index(name: str, index: Index, encoding: str, errors: str) -> Index
 
     elif inferred_type in ["integer", "floating"]:
         return IndexCol(
-            name, values=converted, kind=kind, typ=atom, index_name=index_name,
+            name, values=converted, kind=kind, typ=atom, index_name=index_name
         )
     else:
         assert isinstance(converted, np.ndarray) and converted.dtype == object
         assert kind == "object", kind
         atom = _tables().ObjectAtom()
-        return IndexCol(name, converted, kind, atom, index_name=index_name,)
+        return IndexCol(name, converted, kind, atom, index_name=index_name)
 
 
 def _unconvert_index(