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Difference between calamine and openpyxl readers fixed #59188

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@Riyazul555 Riyazul555 commented Jul 5, 2024

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Thanks for the PR! Please always add tests.

StorageOptions,
)

_CellValue = Union[int, float, str, bool, time, date, datetime, timedelta]
_CellValueT = Union[int, float, str, bool, time, date, datetime, timedelta]
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Why is this changing? I think we only use T suffix for TypeVar, not type aliases.

def _convert_cell(value: _CellValue) -> Scalar | NaTType | time:
) -> list[list[Scalar]]:
def _convert_cell(value: _CellValueT) -> Scalar:
# Avoid explicit conversion to pd.Timestamp and pd.Timedelta
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I don't think this comment is necessary/helpful.

Comment on lines 110 to +114
elif isinstance(value, date):
return pd.Timestamp(value)
return value
elif isinstance(value, timedelta):
return pd.Timedelta(value)
elif isinstance(value, time):
return value
elif isinstance(value, time):
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I think these can just be removed. We only need elif instance(value, ...) if we are going to do something besides just returning value.

Comment on lines +120 to +126
rows: list[list[_CellValueT]] = sheet.to_python(skip_empty_area=False)
data: list[list[Scalar]] = []

for row in rows:
data.append([_convert_cell(cell) for cell in row])
if file_rows_needed is not None and len(data) >= file_rows_needed:
break
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Why is this changing?

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BUG: Difference between calamine and openpyxl readers - columns with mixed data types
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