jorisvandenbossche commented on code in PR #14080:
URL: https://github.com/apache/arrow/pull/14080#discussion_r970737215
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python/pyarrow/pandas_compat.py:
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@@ -541,7 +541,7 @@ def dataframe_to_types(df, preserve_index, columns=None):
if _pandas_api.is_categorical(values):
type_ = pa.array(c, from_pandas=True).type
elif _pandas_api.is_extension_array_dtype(values):
- type_ = pa.array(c.head(0), from_pandas=True).type
+ type_ = pa.array(c[:0], from_pandas=True).type
Review Comment:
> I am thinking that we could maybe also use values[:0] instead?
But, that then will loose some information in case of tz-aware datetimes I
think.
Maybe a "dumb" `c.head(0) if isinstance(c, Series) else c[:0]` might be the
easiest after all.
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