@@ -227,7 +227,7 @@ def read_excel(
227227 * ``1``: 2nd sheet as a `DataFrame`
228228 * ``"Sheet1"``: Load sheet with name "Sheet1"
229229 * ``[0, 1, "Sheet5"]``: Load first, second and sheet named "Sheet5"
230- as a dict of `DataFrame`
230+ as a dict of `DataFrame`
231231 * ``None``: All worksheets.
232232
233233 header : int, list of int, default 0
@@ -254,12 +254,13 @@ def read_excel(
254254 and column ranges (e.g. "A:E" or "A,C,E:F"). Ranges are inclusive of
255255 both sides.
256256 * If list of int, then indicates list of column numbers to be parsed
257- (0-indexed).
257+ (0-indexed).
258258 * If list of string, then indicates list of column names to be parsed.
259259 * If callable, then evaluate each column name against it and parse the
260260 column if the callable returns ``True``.
261261
262262 Returns a subset of the columns according to behavior above.
263+
263264 dtype : Type name or dict of column -> type, default None
264265 Data type for data or columns. E.g. {'a': np.float64, 'b': np.int32}
265266 Use ``object`` to preserve data as stored in Excel and not interpret dtype,
@@ -285,6 +286,7 @@ def read_excel(
285286 - Otherwise if ``path_or_buffer`` is an xls format, ``xlrd`` will be used.
286287 - Otherwise if ``path_or_buffer`` is in xlsb format, ``pyxlsb`` will be used.
287288 - Otherwise ``openpyxl`` will be used.
289+
288290 converters : dict, default None
289291 Dict of functions for converting values in certain columns. Keys can
290292 either be integers or column labels, values are functions that take one
@@ -999,14 +1001,14 @@ class ExcelWriter(Generic[_WorkbookT]):
9991001 mode : {{'w', 'a'}}, default 'w'
10001002 File mode to use (write or append). Append does not work with fsspec URLs.
10011003 storage_options : dict, optional
1002- Extra options that make sense for a particular storage connection, e.g.
1003- host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
1004- are forwarded to ``urllib.request.Request`` as header options. For other
1005- URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
1006- forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
1007- details, and for more examples on storage options refer `here
1008- <https://pandas.pydata.org/docs/user_guide/io.html?
1009- highlight=storage_options#reading-writing-remote-files>`_.
1004+ Extra options that make sense for a particular storage connection, e.g.
1005+ host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
1006+ are forwarded to ``urllib.request.Request`` as header options. For other
1007+ URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
1008+ forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
1009+ details, and for more examples on storage options refer `here
1010+ <https://pandas.pydata.org/docs/user_guide/io.html?
1011+ highlight=storage_options#reading-writing-remote-files>`_.
10101012
10111013 if_sheet_exists : {{'error', 'new', 'replace', 'overlay'}}, default 'error'
10121014 How to behave when trying to write to a sheet that already
@@ -1443,14 +1445,14 @@ def inspect_excel_format(
14431445 content_or_path : str or file-like object
14441446 Path to file or content of file to inspect. May be a URL.
14451447 storage_options : dict, optional
1446- Extra options that make sense for a particular storage connection, e.g.
1447- host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
1448- are forwarded to ``urllib.request.Request`` as header options. For other
1449- URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
1450- forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
1451- details, and for more examples on storage options refer `here
1452- <https://pandas.pydata.org/docs/user_guide/io.html?
1453- highlight=storage_options#reading-writing-remote-files>`_.
1448+ Extra options that make sense for a particular storage connection, e.g.
1449+ host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
1450+ are forwarded to ``urllib.request.Request`` as header options. For other
1451+ URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
1452+ forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
1453+ details, and for more examples on storage options refer `here
1454+ <https://pandas.pydata.org/docs/user_guide/io.html?
1455+ highlight=storage_options#reading-writing-remote-files>`_.
14541456
14551457 Returns
14561458 -------
@@ -1542,16 +1544,16 @@ class ExcelFile:
15421544 Please do not report issues when using ``xlrd`` to read ``.xlsx`` files.
15431545 This is not supported, switch to using ``openpyxl`` instead.
15441546 storage_options : dict, optional
1545- Extra options that make sense for a particular storage connection, e.g.
1546- host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
1547- are forwarded to ``urllib.request.Request`` as header options. For other
1548- URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
1549- forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
1550- details, and for more examples on storage options refer `here
1551- <https://pandas.pydata.org/docs/user_guide/io.html?
1552- highlight=storage_options#reading-writing-remote-files>`_.
1553- engine_kwargs : dict, optional
1554- Arbitrary keyword arguments passed to excel engine.
1547+ Extra options that make sense for a particular storage connection, e.g.
1548+ host, port, username, password, etc. For HTTP(S) URLs the key-value pairs
1549+ are forwarded to ``urllib.request.Request`` as header options. For other
1550+ URLs (e.g. starting with "s3://", and "gcs://") the key-value pairs are
1551+ forwarded to ``fsspec.open``. Please see ``fsspec`` and ``urllib`` for more
1552+ details, and for more examples on storage options refer `here
1553+ <https://pandas.pydata.org/docs/user_guide/io.html?
1554+ highlight=storage_options#reading-writing-remote-files>`_.
1555+ engine_kwargs : dict, optional
1556+ Arbitrary keyword arguments passed to excel engine.
15551557
15561558 See Also
15571559 --------
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