Yikun commented on a change in pull request #34687:
URL: https://github.com/apache/spark/pull/34687#discussion_r754789113
##########
File path: python/pyspark/pandas/tests/data_type_ops/testing_utils.py
##########
@@ -49,8 +49,15 @@ def numeric_pdf(self):
dtypes = [np.int32, int, np.float32, float]
sers = [pd.Series([1, 2, 3], dtype=dtype) for dtype in dtypes]
sers.append(pd.Series([decimal.Decimal(1), decimal.Decimal(2),
decimal.Decimal(3)]))
+ sers.append(pd.Series([1, 2, np.nan], dtype=float))
pdf = pd.concat(sers, axis=1)
- pdf.columns = [dtype.__name__ for dtype in dtypes] + ["decimal"]
+ pdf.columns = [dtype.__name__ for dtype in dtypes] + [
+ "decimal",
+ "float_nan",
+ ]
+ if LooseVersion(pd.__version__) >= LooseVersion("1.3.0"):
Review comment:
- pandas on spark with old versions of pandas fails same with/without
this PR. (it's very weird,
https://gist.github.com/Yikun/6b88920652fc535b336a03746fe3b04f)
- pandas on spark with v1.3.0+ of pandas passed with this PR.
- old versions of pandas (native pandas) support decimal.
This PR only enable the test case of pandas on spark with pandas v1.3.0.
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