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dosubot avatar dosubot commented on June 19, 2024 3

The issue with long numbers being truncated when exported to Excel from Superset is due to Excel's limitation of handling a maximum precision of 15 digits for numbers. This results in numbers longer than 15 digits being truncated or rounded. To prevent this, you can modify the df_to_excel function in Superset to convert long numbers to strings before exporting. This approach ensures that Excel treats these numbers as text, avoiding truncation or scientific notation conversion.

Here's a modification you can apply:

import io
from typing import Any
import pandas as pd

def df_to_excel(df: pd.DataFrame, **kwargs: Any) -> Any:
    output = io.BytesIO()
    # Convert long numbers to strings to avoid truncation
    for column in df.columns:
        if df[column].dtype == 'int64':  # Check if the column is of int64 type
            df[column] = df[column].astype(str)
    # Handle timezones
    for column in df.select_dtypes(include=["datetimetz"]).columns:
        df[column] = df[column].astype(str)
    with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
        df.to_excel(writer, **kwargs)
    return output.getvalue()

This code checks each column's data type and converts int64 columns to strings, ensuring that long numbers are accurately represented in the exported Excel file. Keep in mind, converting numbers to strings might not be ideal if you plan to perform numeric operations on these values in Excel, as they will be treated as text.

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from superset.

rusackas avatar rusackas commented on June 19, 2024

@jose-vines-toteat let us know if you want to open a PR to solve the problem. We'd love to get feedback on Dosu's suggestions here, since if it leads to a fix, that's pretty amazing.

from superset.

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