BUG: hash_pandas_object fails on array containing tuple #28969 #30508
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WillAyd reviewed Dec 27, 2019
pandas/core/util/hashing.py Outdated
| except ValueError: | ||
| # GH#28969 if we contain tuples, astype fails here, | ||
| # apparently related to github.com/numpy/numpy/issues/9441 | ||
| str_vals = np.array([str(x) for x in vals], dtype=object) |
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Hmm not sure about this - wouldn't this really make everything hashable at this point, including non-hashable items?
>>> vals = np.array([("a",), ["c", "d"]]) >>> str_vals = np.array([str(x) for x in vals], dtype=object) array(["('a',)", "['c', 'd']"], dtype=object)
jreback requested changes Dec 27, 2019
pandas/core/util/hashing.py Outdated
| except TypeError: | ||
| # we have mixed types | ||
| try: | ||
| str_vals = vals.astype(str) |
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i would handle this in hash_object_array as a case
Member Author
| moved the tuple-catching to hash_object_array, added check for non-hashable within a tuple |
jreback requested changes Dec 30, 2019
Contributor
| also have 2 tests in the OP |
Contributor
| Also needs a whatsnew note. |
Member Author
these are the df1 and df2 in the test that this adds.
updated. |
TomAugspurger approved these changes Dec 31, 2019
Contributor
| Thanks! |
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black pandasgit diff upstream/master -u -- "*.py" | flake8 --diffATM this implements a smoke-test that the cases don't raise, but I don't have a canonical answer to test them against. Could hard-code the result I get now. Thoughts?