pralabhkumar commented on a change in pull request #33980:
URL: https://github.com/apache/spark/pull/33980#discussion_r721598693
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File path: python/pyspark/sql/pandas/types.py
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@@ -253,14 +278,29 @@ def _check_series_convert_timestamps_internal(s,
timezone):
# >>> str(tz.localize(t))
# '2015-11-01 01:30:00-05:00'
tz = timezone or _get_local_timezone()
- return s.dt.tz_localize(tz, ambiguous=False).dt.tz_convert('UTC')
+ data = s.dt.tz_localize(tz, ambiguous=False).dt.tz_convert('UTC')
+ return __modified_series(data, is_array)
elif is_datetime64tz_dtype(s.dtype):
- return s.dt.tz_convert('UTC')
+ data = s.dt.tz_convert('UTC')
+ return __modified_series(data, is_array)
else:
- return s
+ return __modified_series(s, is_array)
+
+
+def __modified_series(data, is_array):
+ """
+ :param data: Converted data
+ :param is_array: If the input data type is type of array
+ :return: If input type is array ,then return series with array of data
+ else return series as it is.
+ """
+ from pandas import Series
+ if is_array:
+ return Series([data])
Review comment:
@BryanCutler Removed the logic
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