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fix: update row conversion to use numpy to avoid float for timestamp#4198

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tenthe merged 1 commit intodevfrom
4197-preserve-integer-timestamps-when-converting-dataframes-to-dataseries-in-queryresultfrom_pandas
Feb 25, 2026
Merged

fix: update row conversion to use numpy to avoid float for timestamp#4198
tenthe merged 1 commit intodevfrom
4197-preserve-integer-timestamps-when-converting-dataframes-to-dataseries-in-queryresultfrom_pandas

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@tenthe tenthe commented Feb 24, 2026

Purpose

In certain cases, the timestamp column may be converted to a double type. When this happens, storing the data fails because the system expects the timestamp to be in its original format.

Remarks

PR introduces (a) breaking change(s): no

PR introduces (a) deprecation(s): no

@tenthe tenthe requested a review from SvenO3 February 24, 2026 12:44
@github-actions github-actions bot added the python Pull requests that update Python code label Feb 24, 2026
@tenthe tenthe merged commit 42111ed into dev Feb 25, 2026
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@tenthe tenthe deleted the 4197-preserve-integer-timestamps-when-converting-dataframes-to-dataseries-in-queryresultfrom_pandas branch February 25, 2026 05:31
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Preserve integer timestamps when converting DataFrames to DataSeries in QueryResult.from_pandas

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