BUG: merge_ordered fails with list-like left_by or right_by #38089
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GYHHAHA
changed the title
jreback
requested changes
Nov 26, 2020
| # GH 35269 | ||
| left = DataFrame({"G": ["g", "g"], "H": ["h", "h"], "T": [1, 3]}) | ||
| right = DataFrame({"T": [2], "E": [1]}) | ||
| result = merge_ordered(left, right, on=["T"], left_by=["G", "H"]) |
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can you test the same with on='T'
also can you test with right_by
|
There also exists two parts should be fixed. >>>l = pd.DataFrame([['g', 'h', 1], ['g', 'h', 3]], columns=list('GHT'))
>>>l
G H T
0 g h 1
1 g h 3
>>>r = pd.DataFrame([[2, 1]], columns=list('TE'))
>>>r
T E
0 2 1First, the following unexpected left join is related to wrongly >>>pd.merge_ordered(l, r, on='T', left_by=['G'])
Second, unexpected result appears when unseen label exists in >>>pd.merge_ordered(l, r, on='T', left_by=['G', 'h'])
Since they are different bugs from the current list-like issue, thus I will make another PR for the above-mentioned two after this merged. |
jreback
requested changes
Nov 28, 2020
| # GH 35269 | ||
| left = DataFrame({"G": ["g", "g"], "H": ["h", "h"], "T": [1, 3]}) | ||
| right = DataFrame({"T": [2], "E": [1]}) | ||
| result1 = merge_ordered(left, right, on=["T"], left_by=["G", "H"]) |
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can you parameterize this test with the cases
|
failures from |
|
thanks @GYHHAHA very nice! |
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black pandasgit diff upstream/master -u -- "*.py" | flake8 --diff