BUG: ensuring that np.asarray() simple handles data as objects and doesn't… #22161
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## master #22161 +/- ##
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Coverage 92.08% 92.08%
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Files 169 169
Lines 50704 50704
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Hits 46691 46691
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jreback
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Aug 1, 2018
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does this change anything from a user perspective?
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| # we have failed, return object | ||
| values = np.asarray(values) | ||
| values = np.asarray(values, dtype=np.object) |
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so we actually should prob use pandas.core.dtypes.cast.construct_1d_array_preserving_na which is even better here. further pls run the performance suite for things like factorize, value_counts, isin, this a very performance sensitive section.
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@jreback Actually, pandas.core.dtypes.cast.construct_1d_ndarray_preserving_na would not work for two reasons:
- For
[42, 's']it returnsarray(['42', 's'], dtype='<U11')and not the wantedarray([42, 's'], dtype=object)), not sure this is the intended behavior of the function though - For
[np.nan]it returnsarray([nan], dtype=float64)which leads toresult[0] is np.nanbeing False, but we would like to keep the id of the object.
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Hello @realead! Thanks for updating the PR. Cheers ! There are no PEP8 issues in this Pull Request. 🍻 Comment last updated on August 10, 2018 at 09:50 Hours UTC |
realead
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For asv continuous -f 1.1 upstream/master HEAD -b ^series_methods -b ^algorithms the result was:
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can you rebase and run perf tests on algos. I find ever small changes sometimes can really impact perf here. |
jreback
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Aug 9, 2018
doc/source/whatsnew/v0.24.0.txt
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| - :meth: `~pandas.io.formats.style.Styler.background_gradient` now also supports tablewise application (in addition to rowwise and columnwise) with ``axis=None`` (:issue:`15204`) | ||
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| - :meth:`pandas.core.algorithms.isin` avoids spurious casting for lists (:issue:`22160`) |
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ok , this is an internal, routine, ok removing this whatsnew note.
…esn't try to do smart things (GH22160)
…s adjusting the test cases
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There were no performance changes:
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@realead ok with this, can you remove the whatsnew note. ping on green. |
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Aug 9, 2018
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Close/Open to trigger CI-run |
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thanks @realead |
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… try to do smart things (GH22160)
git diff upstream/master -u -- "*.py" | flake8 --diff