HyukjinKwon 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_r347719913
##########
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':
+ array = pa.array(s.get_values())
Review comment:
Hm, I am not sure how we will be able to convert Spark DataFrame -> pandas
DataFrame with a category type.
pandas DataFrame -> Spark DataFrame looks easy as you did.
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