HyukjinKwon commented on a change in pull request #33980:
URL: https://github.com/apache/spark/pull/33980#discussion_r714430165
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File path: python/pyspark/sql/pandas/types.py
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@@ -190,10 +191,19 @@ def _check_series_localize_timestamps(s, timezone):
"""
from pyspark.sql.pandas.utils import require_minimum_pandas_version
require_minimum_pandas_version()
-
+ from pandas import Series, DatetimeTZDtype
+ from pandas.api.types import is_datetime64_dtype
from pandas.api.types import is_datetime64tz_dtype
tz = timezone or _get_local_timezone()
# TODO: handle nested timestamps, such as ArrayType(TimestampType())?
+ # Check if its Array of TimeStamp
+ if datatype == ArrayType.__name__:
Review comment:
does it work for nested + nested array of timestamps?
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