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Addressed formatting errors
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pandas/io/excel/_base.py

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@@ -230,7 +230,7 @@ def read_excel(
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* ``"Sheet1"``: Load sheet with name "Sheet1"
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* ``[0, 1, "Sheet5"]``: Load first, second and sheet named "Sheet5"
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as a dict of `DataFrame`
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* ``None``: Returns a dictionary containing DataFrames for each sheet..
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* ``None``: Returns a dictionary containing DataFrames for each sheet.
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header : int, list of int, default 0
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Row (0-indexed) to use for the column labels of the parsed
@@ -275,18 +275,19 @@ def read_excel(
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- ``openpyxl`` supports newer Excel file formats.
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- ``calamine`` supports Excel (.xls, .xlsx, .xlsm, .xlsb)
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and OpenDocument (.ods) file formats.
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and OpenDocument (.ods) file formats.
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- ``odf`` supports OpenDocument file formats (.odf, .ods, .odt).
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- ``pyxlsb`` supports Binary Excel files.
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- ``xlrd`` supports old-style Excel files (.xls).
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When ``engine=None``, the following logic will be used to determine the engine:
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- If ``path_or_buffer`` is an OpenDocument format (.odf, .ods, .odt),
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then `odf <https://pypi.org/project/odfpy/>`_ will be used.
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then `odf <https://pypi.org/project/odfpy/>`_ will be used.
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- Otherwise if ``path_or_buffer`` is an xls format, ``xlrd`` will be used.
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- Otherwise if ``path_or_buffer`` is in xlsb format, ``pyxlsb`` will be used.
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- Otherwise ``openpyxl`` will be used.
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converters : dict, default None
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Dict of functions for converting values in certain columns. Keys can
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either be integers or column labels, values are functions that take one

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