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DOC: inline docstrings for read_excel with additional formatting.
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pandas/io/excel/_base.py

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@@ -274,7 +274,7 @@ 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).
@@ -325,6 +325,7 @@ def read_excel(
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Note that if `na_filter` is passed in as False, the ``keep_default_na`` and
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``na_values`` parameters will be ignored.
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na_filter : bool, default True
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Detect missing value markers (empty strings and the value of na_values). In
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data without any NAs, passing ``na_filter=False`` can improve the
@@ -349,6 +350,7 @@ def read_excel(
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``pd.read_excel``.
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Note: A fast-path exists for iso8601-formatted dates.
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date_parser : function, optional
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Function to use for converting a sequence of string columns to an array of
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datetime instances. The default uses ``dateutil.parser.parser`` to do the

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