Expose dtype_backend
argument to align with other I/O methods
#621
Labels
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.
dtypes_backend
options:"default"
(current "mixed" behavior, where most extension dtypes are used but not Float64Dtype or StringDtype) -- edit: might want to checkdtype_backend
in pandas global options (per API: Setting Arrow-backed dtypes by default pandas-dev/pandas#51433),"numpy_nullable"
corresponds to existing behavior but also nullable floats (feat: Use nullable Float64Dtype to allow NULL and NaN to be represented in the same Series whendtype_backend="numpy_nullable"
#618) and strings (somewhat related: ENH: option efficient memory use by downcasting #275 (comment))."pyarrow"
(all Arrow dtypes)Implementation note: we probably need to call
to_arrow
for all but default, whereto_dataframe
is still OK.See also: pandas-dev/pandas#51853
The text was updated successfully, but these errors were encountered: