fix: convert datetime64[us] to datetime64[ns] for TIMESTAMP and DATETIME #858
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product-auto-label
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api: bigquery
tswast
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Jan 27, 2025
| and pandas.api.types.is_datetime64_dtype(df[name]) | ||
| and not pandas.api.types.is_datetime64_ns_dtype(df[name]) | ||
| ): | ||
| df[name] = df[name].dt.as_unit("ns") |
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I'd actually prefer we use us as the units where possible. Technically, ns can cause data loss, as BigQuery stores its DATETIME/TIMESTAMP values with microsecond precision.
Could we update the documentation, instead?
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Fixes #852
In the document, pandas-gbq returns
datetime64[ns]orobject, but in pandas2, it returnsdatetime64[us].https://googleapis.dev/python/pandas-gbq/latest/reading.html#inferring-the-dataframe-s-dtypes