DOC: avoid StorageOptions type alias in docstrings (#35894)

Author: jorisvandenbossche

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
  -------