BryanCutler commented on a change in pull request #26585:
[WIP][SPARK-25351][SQL][Python] Handle Pandas category type when converting
from Python with Arrow
URL: https://github.com/apache/spark/pull/26585#discussion_r367701532
##########
File path: python/pyspark/serializers.py
##########
@@ -298,7 +298,10 @@ def create_array(s, t):
if t is not None and pa.types.is_timestamp(t):
s = _check_series_convert_timestamps_internal(s,
self._timezone)
try:
- array = pa.Array.from_pandas(s, mask=mask, type=t,
safe=self._safecheck)
+ if str(s.dtype) == 'category':
Review comment:
Also, I'd prefer if you just replace the original series `s` before the
conversion `from_pandas`. like 's = s.astype...`
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