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feat: Use nullable Float64Dtype to allow NULL and NaN to be represented in the same Series when dtype_backend="numpy_nullable" #618

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tswast opened this issue Mar 7, 2023 · 1 comment
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feat: Use nullable Float64Dtype to allow NULL and NaN to be represented in the same Series when dtype_backend="numpy_nullable" #618

tswast opened this issue Mar 7, 2023 · 1 comment
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api: bigquery Issues related to the googleapis/python-bigquery-pandas API. type: feature request ‘Nice-to-have’ improvement, new feature or different behavior or design.

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tswast commented Mar 7, 2023 •
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The Float64Dtype more closely matches the BigQuery semantics. Ideally we'd allow folks to use this to avoid the slight data loss of mapping both NULL and NaN to NaN with the existing numpy.float64 dtype.

Edit: Per #621, we should only do this if dtype_backend="numpy_nullable".
@product-auto-label product-auto-label bot added the api: bigquery Issues related to the googleapis/python-bigquery-pandas API. label Mar 7, 2023
@tswast tswast added the type: feature request ‘Nice-to-have’ improvement, new feature or different behavior or design. label Mar 7, 2023
@tswast tswast mentioned this issue Mar 28, 2023
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tswast commented Mar 29, 2023

Per #621, we should only do this if dtype_backend="numpy_nullable".

@tswast tswast changed the title feat: Use nullable Float64Dtype to allow NULL and NaN to be represented in the same Series feat: Use nullable Float64Dtype to allow NULL and NaN to be represented in the same Series when dtype_backend="numpy_nullable" May 9, 2023
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api: bigquery Issues related to the googleapis/python-bigquery-pandas API. type: feature request ‘Nice-to-have’ improvement, new feature or different behavior or design.
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