DOC: avoid StorageOptions type alias in docstrings

pandas/io/excel/_base.py

@@ -200,13 +200,13 @@
     Duplicate columns will be specified as 'X', 'X.1', ...'X.N', rather than
     'X'...'X'. Passing in False will cause data to be overwritten if there
     are duplicate names in the columns.
-storage_options : StorageOptions
+storage_options : dict, optional
     Extra options that make sense for a particular storage connection, e.g.
     host, port, username, password, etc., if using a URL that will
     be parsed by ``fsspec``, e.g., starting "s3://", "gcs://". An error
     will be raised if providing this argument with a local path or
     a file-like buffer. See the fsspec and backend storage implementation
-    docs for the set of allowed keys and values
+    docs for the set of allowed keys and values.
 
     .. versionadded:: 1.2.0
 

pandas/io/excel/_odfreader.py

@@ -18,7 +18,7 @@ class _ODFReader(_BaseExcelReader):
     ----------
     filepath_or_buffer : string, path to be parsed or
         an open readable stream.
-    storage_options : StorageOptions
+    storage_options : dict, optional
         passed to fsspec for appropriate URLs (see ``get_filepath_or_buffer``)
     """
 

pandas/io/excel/_openpyxl.py

@@ -479,7 +479,7 @@ def __init__(
         ----------
         filepath_or_buffer : string, path object or Workbook
             Object to be parsed.
-        storage_options : StorageOptions
+        storage_options : dict, optional
             passed to fsspec for appropriate URLs (see ``get_filepath_or_buffer``)
         """
         import_optional_dependency("openpyxl")

pandas/io/excel/_pyxlsb.py

@@ -19,7 +19,7 @@ def __init__(
         ----------
         filepath_or_buffer : str, path object, or Workbook
             Object to be parsed.
-        storage_options : StorageOptions
+        storage_options : dict, optional
             passed to fsspec for appropriate URLs (see ``get_filepath_or_buffer``)
         """
         import_optional_dependency("pyxlsb")

pandas/io/excel/_xlrd.py

@@ -17,7 +17,7 @@ def __init__(self, filepath_or_buffer, storage_options: StorageOptions = None):
         ----------
         filepath_or_buffer : string, path object or Workbook
             Object to be parsed.
-        storage_options : StorageOptions
+        storage_options : dict, optional
             passed to fsspec for appropriate URLs (see ``get_filepath_or_buffer``)
         """
         err_msg = "Install xlrd >= 1.0.0 for Excel support"

pandas/io/feather_format.py

@@ -16,14 +16,13 @@ def to_feather(df: DataFrame, path, storage_options: StorageOptions = None, **kw
     ----------
     df : DataFrame
     path : string file path, or file-like object
-
     storage_options : dict, optional
         Extra options that make sense for a particular storage connection, e.g.
         host, port, username, password, etc., if using a URL that will
         be parsed by ``fsspec``, e.g., starting "s3://", "gcs://". An error
         will be raised if providing this argument with a local path or
         a file-like buffer. See the fsspec and backend storage implementation
-        docs for the set of allowed keys and values
+        docs for the set of allowed keys and values.
 
         .. versionadded:: 1.2.0
 
@@ -106,6 +105,15 @@ def read_feather(
         Whether to parallelize reading using multiple threads.
 
        .. versionadded:: 0.24.0
+    storage_options : dict, optional
+        Extra options that make sense for a particular storage connection, e.g.
+        host, port, username, password, etc., if using a URL that will
+        be parsed by ``fsspec``, e.g., starting "s3://", "gcs://". An error
+        will be raised if providing this argument with a local path or
+        a file-like buffer. See the fsspec and backend storage implementation
+        docs for the set of allowed keys and values.
+
+        .. versionadded:: 1.2.0
 
     Returns
     -------