Peter Nguyen created SPARK-52592:
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Summary: Can't construct ps.Series from a ps.Series
Key: SPARK-52592
URL: https://issues.apache.org/jira/browse/SPARK-52592
Project: Spark
Issue Type: Bug
Components: Pandas API on Spark
Affects Versions: 3.2.0
Reporter: Peter Nguyen
I'd like for this to work, but it does not.
{code:python}
obj = ps.Series([x for x in range(3)])
obj = ps.Series(obj) print(obj)
{code}
Here's the error:
{code:java}
Traceback (most recent call last):
File "script.py", line 75, in <module>
obj = ps.Series(obj)
File ".../pyspark/pandas/series.py", line 422, in __init__
s = pd.Series(
File ".../pandas/core/series.py", line 470, in __init__
data = sanitize_array(data, index, dtype, copy)
File ".../pandas/core/construction.py", line 618, in sanitize_array
data = list(data)
File ".../pyspark/pandas/series.py", line 7339, in __iter__
return MissingPandasLikeSeries.__iter__(self)
File ".../pyspark/pandas/missing/__init__.py", line 23, in
unsupported_function
raise PandasNotImplementedError(
pyspark.pandas.exceptions.PandasNotImplementedError: The method
`pd.Series.__iter__()` is not implemented. If you want to collect your data as
an NumPy array, use 'to_numpy()' instead.
{code}
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