3d47c692d2
### What changes were proposed in this pull request?
Fix DataFrame.isin when DataFrame has NaN value
### Why are the changes needed?
Fix DataFrame.isin when DataFrame has NaN value
``` python
>>> psdf = ps.DataFrame(
... {"a": [None, 2, 3, 4, 5, 6, 7, 8, None], "b": [None, 5, None, 3, 2, 1, None, 0, 0], "c": [1, 5, 1, 3, 2, 1, 1, 0, 0]},
... )
>>> psdf
a b c
0 NaN NaN 1
1 2.0 5.0 5
2 3.0 NaN 1
3 4.0 3.0 3
4 5.0 2.0 2
5 6.0 1.0 1
6 7.0 NaN 1
7 8.0 0.0 0
8 NaN 0.0 0
>>> other = [1, 2, None]
>>> psdf.isin(other)
a b c
0 None None True
1 True None None
2 None None True
3 None None None
4 None True True
5 None True True
6 None None True
7 None None None
8 None None None
>>> psdf.to_pandas().isin(other)
a b c
0 False False True
1 True False False
2 False False True
3 False False False
4 False True True
5 False True True
6 False False True
7 False False False
8 False False False
```
### Does this PR introduce _any_ user-facing change?
After this PR
``` python
>>> psdf = ps.DataFrame(
... {"a": [None, 2, 3, 4, 5, 6, 7, 8, None], "b": [None, 5, None, 3, 2, 1, None, 0, 0], "c": [1, 5, 1, 3, 2, 1, 1, 0, 0]},
... )
>>> psdf
a b c
0 NaN NaN 1
1 2.0 5.0 5
2 3.0 NaN 1
3 4.0 3.0 3
4 5.0 2.0 2
5 6.0 1.0 1
6 7.0 NaN 1
7 8.0 0.0 0
8 NaN 0.0 0
>>> other = [1, 2, None]
>>> psdf.isin(other)
a b c
0 False False True
1 True False False
2 False False True
3 False False False
4 False True True
5 False True True
6 False False True
7 False False False
8 False False False
```
### How was this patch tested?
Unit tests
Closes #34040 from dgd-contributor/SPARK-36785_dataframe.isin_fix.
Authored-by: dgd-contributor <dgd_contributor@viettel.com.vn>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
(cherry picked from commit
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.. | ||
docs | ||
lib | ||
pyspark | ||
test_coverage | ||
test_support | ||
.coveragerc | ||
.gitignore | ||
MANIFEST.in | ||
mypy.ini | ||
pylintrc | ||
README.md | ||
run-tests | ||
run-tests-with-coverage | ||
run-tests.py | ||
setup.cfg | ||
setup.py |
Apache Spark
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