DOC: How to use storage_option param here to integrate with GCP bucket?

pandas/core/shared_docs.py

@@ -400,9 +400,12 @@
 ] = """storage_options : dict, optional
     Extra options that make sense for a particular storage connection, e.g.
     host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
-    are forwarded to ``urllib`` as header options. For other URLs (e.g.
-    starting with "s3://", and "gcs://") the key-value pairs are forwarded to
-    ``fsspec``. Please see ``fsspec`` and ``urllib`` for more details."""
+    are forwarded to ``urllib.request.Request`` as header options. For other
+    URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
+    forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
+    details, and for more examples on storage options refer `here
+    <https://pandas.pydata.org/docs/user_guide/io.html?
+    highlight=storage_options#reading-writing-remote-files>`_."""
 
 _shared_docs[
     "compression_options"

pandas/io/common.py

@@ -251,7 +251,10 @@ def is_fsspec_url(url: FilePath | BaseBuffer) -> bool:
     )
 
 
-@doc(compression_options=_shared_docs["compression_options"] % "filepath_or_buffer")
+@doc(
+    storage_options=_shared_docs["storage_options"],
+    compression_options=_shared_docs["compression_options"] % "filepath_or_buffer",
+)
 def _get_filepath_or_buffer(
     filepath_or_buffer: FilePath | BaseBuffer,
     encoding: str = "utf-8",
@@ -274,13 +277,7 @@ def _get_filepath_or_buffer(
     encoding : the encoding to use to decode bytes, default is 'utf-8'
     mode : str, optional
 
-    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
+    {storage_options}
 
         .. versionadded:: 1.2.0
 

pandas/io/excel/_base.py

@@ -138,7 +138,7 @@
        Append ``.squeeze("columns")`` to the call to ``read_excel`` to squeeze
        the data.
 dtype : Type name or dict of column -> type, default None
-    Data type for data or columns. E.g. {'a': np.float64, 'b': np.int32}
+    Data type for data or columns. E.g. {{'a': np.float64, 'b': np.int32}}
     Use `object` to preserve data as stored in Excel and not interpret dtype.
     If converters are specified, they will be applied INSTEAD
     of dtype conversion.
@@ -222,7 +222,7 @@
       each as a separate date column.
     * list of lists. e.g.  If [[1, 3]] -> combine columns 1 and 3 and parse as
       a single date column.
-    * dict, e.g. {'foo' : [1, 3]} -> parse columns 1, 3 as date and call
+    * dict, e.g. {{'foo' : [1, 3]}} -> parse columns 1, 3 as date and call
       result 'foo'
 
     If a column or index contains an unparsable date, the entire column or
@@ -272,13 +272,7 @@
     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 : 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.
+{storage_options}
 
     .. versionadded:: 1.2.0
 
@@ -324,7 +318,7 @@
 Column types are inferred but can be explicitly specified
 
 >>> pd.read_excel('tmp.xlsx', index_col=0,
-...               dtype={'Name': str, 'Value': float})  # doctest: +SKIP
+...               dtype={{'Name': str, 'Value': float}})  # doctest: +SKIP
        Name  Value
 0   string1    1.0
 1   string2    2.0
@@ -420,6 +414,7 @@ def read_excel(
     ...
 
 
+@doc(storage_options=_shared_docs["storage_options"])
 @deprecate_nonkeyword_arguments(allowed_args=["io", "sheet_name"], version="2.0")
 @Appender(_read_excel_doc)
 def read_excel(
@@ -761,6 +756,7 @@ def parse(
             return output[asheetname]
 
 
+@doc(storage_options=_shared_docs["storage_options"])
 class ExcelWriter(metaclass=abc.ABCMeta):
     """
     Class for writing DataFrame objects into excel sheets.
@@ -794,16 +790,13 @@ class ExcelWriter(metaclass=abc.ABCMeta):
     datetime_format : str, default None
         Format string for datetime objects written into Excel files.
         (e.g. 'YYYY-MM-DD HH:MM:SS').
-    mode : {'w', 'a'}, default 'w'
+    mode : {{'w', 'a'}}, default 'w'
         File mode to use (write or append). Append does not work with fsspec URLs.
-    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://".
+    {storage_options}
 
         .. versionadded:: 1.2.0
 
-    if_sheet_exists : {'error', 'new', 'replace', 'overlay'}, default 'error'
+    if_sheet_exists : {{'error', 'new', 'replace', 'overlay'}}, default 'error'
         How to behave when trying to write to a sheet that already
         exists (append mode only).
 
@@ -924,7 +917,7 @@ class ExcelWriter(metaclass=abc.ABCMeta):
     >>> with pd.ExcelWriter(
     ...     "path_to_file.xlsx",
     ...     engine="xlsxwriter",
-    ...     engine_kwargs={"options": {"nan_inf_to_errors": True}}
+    ...     engine_kwargs={{"options": {{"nan_inf_to_errors": True}}}}
     ... ) as writer:
     ...     df.to_excel(writer)  # doctest: +SKIP
 
@@ -935,7 +928,7 @@ class ExcelWriter(metaclass=abc.ABCMeta):
     ...     "path_to_file.xlsx",
     ...     engine="openpyxl",
     ...     mode="a",
-    ...     engine_kwargs={"keep_vba": True}
+    ...     engine_kwargs={{"keep_vba": True}}
     ... ) as writer:
     ...     df.to_excel(writer, sheet_name="Sheet2")  # doctest: +SKIP
     """

pandas/io/excel/_odfreader.py

@@ -9,12 +9,15 @@
     StorageOptions,
 )
 from pandas.compat._optional import import_optional_dependency
+from pandas.util._decorators import doc
 
 import pandas as pd
+from pandas.core.shared_docs import _shared_docs
 
 from pandas.io.excel._base import BaseExcelReader
 
 
+@doc(storage_options=_shared_docs["storage_options"])
 class ODFReader(BaseExcelReader):
     """
     Read tables out of OpenDocument formatted files.
@@ -23,8 +26,7 @@ class ODFReader(BaseExcelReader):
     ----------
     filepath_or_buffer : str, path to be parsed or
         an open readable stream.
-    storage_options : dict, optional
-        passed to fsspec for appropriate URLs (see ``_get_filepath_or_buffer``)
+    {storage_options}
     """
 
     def __init__(

pandas/io/excel/_openpyxl.py

@@ -18,6 +18,9 @@
     WriteExcelBuffer,
 )
 from pandas.compat._optional import import_optional_dependency
+from pandas.util._decorators import doc
+
+from pandas.core.shared_docs import _shared_docs
 
 from pandas.io.excel._base import (
     BaseExcelReader,
@@ -526,6 +529,7 @@ def _write_cells(
 
 
 class OpenpyxlReader(BaseExcelReader):
+    @doc(storage_options=_shared_docs["storage_options"])
     def __init__(
         self,
         filepath_or_buffer: FilePath | ReadBuffer[bytes],
@@ -538,8 +542,7 @@ def __init__(
         ----------
         filepath_or_buffer : str, path object or Workbook
             Object to be parsed.
-        storage_options : dict, optional
-            passed to fsspec for appropriate URLs (see ``_get_filepath_or_buffer``)
+        {storage_options}
         """
         import_optional_dependency("openpyxl")
         super().__init__(filepath_or_buffer, storage_options=storage_options)

pandas/io/excel/_pyxlsb.py

@@ -8,11 +8,15 @@
     StorageOptions,
 )
 from pandas.compat._optional import import_optional_dependency
+from pandas.util._decorators import doc
+
+from pandas.core.shared_docs import _shared_docs
 
 from pandas.io.excel._base import BaseExcelReader
 
 
 class PyxlsbReader(BaseExcelReader):
+    @doc(storage_options=_shared_docs["storage_options"])
     def __init__(
         self,
         filepath_or_buffer: FilePath | ReadBuffer[bytes],
@@ -25,8 +29,7 @@ def __init__(
         ----------
         filepath_or_buffer : str, path object, or Workbook
             Object to be parsed.
-        storage_options : dict, optional
-            passed to fsspec for appropriate URLs (see ``_get_filepath_or_buffer``)
+        {storage_options}
         """
         import_optional_dependency("pyxlsb")
         # This will call load_workbook on the filepath or buffer

pandas/io/excel/_xlrd.py

@@ -4,11 +4,15 @@
 
 from pandas._typing import StorageOptions
 from pandas.compat._optional import import_optional_dependency
+from pandas.util._decorators import doc
+
+from pandas.core.shared_docs import _shared_docs
 
 from pandas.io.excel._base import BaseExcelReader
 
 
 class XlrdReader(BaseExcelReader):
+    @doc(storage_options=_shared_docs["storage_options"])
     def __init__(self, filepath_or_buffer, storage_options: StorageOptions = None):
         """
         Reader using xlrd engine.
@@ -17,8 +21,7 @@ def __init__(self, filepath_or_buffer, storage_options: StorageOptions = None):
         ----------
         filepath_or_buffer : str, path object or Workbook
             Object to be parsed.
-        storage_options : dict, optional
-            passed to fsspec for appropriate URLs (see ``_get_filepath_or_buffer``)
+        {storage_options}
         """
         err_msg = "Install xlrd >= 1.0.0 for Excel support"
         import_optional_dependency("xlrd", extra=err_msg)

pandas/io/formats/xml.py

@@ -30,7 +30,10 @@
 )
 
 
-@doc(compression_options=_shared_docs["compression_options"] % "path_or_buffer")
+@doc(
+    storage_options=_shared_docs["storage_options"],
+    compression_options=_shared_docs["compression_options"] % "path_or_buffer",
+)
 class BaseXMLFormatter:
     """
     Subclass for formatting data in XML.
@@ -82,9 +85,7 @@ class BaseXMLFormatter:
 
         .. versionchanged:: 1.4.0 Zstandard support.
 
-    storage_options : dict, optional
-        Extra options that make sense for a particular storage connection,
-        e.g. host, port, username, password, etc.,
+    {storage_options}
 
     See also
     --------

pandas/io/xml.py

@@ -42,7 +42,10 @@
 from pandas.io.parsers import TextParser
 
 
-@doc(decompression_options=_shared_docs["decompression_options"] % "path_or_buffer")
+@doc(
+    storage_options=_shared_docs["storage_options"],
+    decompression_options=_shared_docs["decompression_options"] % "path_or_buffer",
+)
 class _XMLFrameParser:
     """
     Internal subclass to parse XML into DataFrames.
@@ -98,9 +101,7 @@ class _XMLFrameParser:
 
         .. versionchanged:: 1.4.0 Zstandard support.
 
-    storage_options : dict, optional
-        Extra options that make sense for a particular storage connection,
-        e.g. host, port, username, password, etc.,
+    {storage_options}
 
     See also
     --------