chore: infer dtypes for columns as well, remove unneeded na_rep
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1 changed files with 4 additions and 8 deletions
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@ -77,9 +77,9 @@ class ExcelConverterBase(DocumentConverter):
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# Because the latter does not replace NaT's
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with pd.option_context("future.no_silent_downcasting", True):
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sheet = sheet.fillna(na_rep, axis=1).infer_objects(copy=False)
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sheet.columns = sheet.columns.fillna(na_rep)
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sheet.columns = sheet.columns.fillna(na_rep).infer_objects(copy=False)
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html_content = sheet.to_html(index=False, na_rep=na_rep)
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html_content = sheet.to_html(index=False)
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md_content += (
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self._html_converter.convert_string(
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html_content, **kwargs
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@ -127,9 +127,7 @@ class XlsxConverter(ExcelConverterBase):
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extension=".xlsx",
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feature="xlsx",
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)
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) from _xlsx_dependency_exc_info[
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1
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].with_traceback( # type: ignore[union-attr]
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) from _xlsx_dependency_exc_info[1].with_traceback( # type: ignore[union-attr]
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_xlsx_dependency_exc_info[2]
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)
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@ -178,9 +176,7 @@ class XlsConverter(ExcelConverterBase):
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extension=".xls",
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feature="xls",
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)
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) from _xls_dependency_exc_info[
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1
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].with_traceback( # type: ignore[union-attr]
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) from _xls_dependency_exc_info[1].with_traceback( # type: ignore[union-attr]
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_xls_dependency_exc_info[2]
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)
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