split up pandas/tests/indexes/test_multi.py #18644 #21514
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| @pytest.fixture | ||
| def _index(): |
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you don't need to prefix with '_'
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The non-fixture variable "index" is used in many of these tests. Several of these also use the fixture "index" which I dubbed _index in an attempt to distinguish them.
I suggest using something like m_index or index_fixture to provide some separation.
Thoughts?
| from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin | ||
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| def verify_pickle(indices): |
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don't create functions like this, inline it instead (unless there is a lot of usage about this, but indicate that)
| # GH11193, when an existing index is passed, and a new name is not | ||
| # specified, the new index should inherit the previous object name | ||
| expected = _index | ||
| if not isinstance(expected, MultiIndex): |
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why would this NOT be a MI?
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| # -*- coding: utf-8 -*- | |||
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as long as you are splitting, would not create a test_base, rather create functional named files, similar to how pandas/tests/indexes/datetimes; since you already have some functional area files below, just distribute these
| assert not _index.is_numeric() | ||
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| def test_bounds(_index): |
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I assume the file itself, correct? I somewhat started over, and inretrospect, I really shouldn't have. I can more closely follow Xavier's orginal stucture or that of another similar directory.
| expected = mi.get_level_values(level) | ||
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| def test_multiindex_compare(): |
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move compare/equal/identical to a new file
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| idx = MultiIndex.from_arrays([['qux', 'baz', 'foo', 'bar'], np.arange( | ||
| 4)]) | ||
| result = idx.isin(values) |
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isin should be in indexing
| level='first') | ||
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| def test_reindex_preserves_names_when_target_is_list_or_ndarray(_index): |
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@jreback thank you for the quick feedback. I will make updates over the next day or two. |
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| assert result == i | ||
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| def test_dims(): |
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next PR can come back and remove this
| first.tolist() - idx[-3:] | ||
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| def test_nlevels(idx): |
| # GH 21149 | ||
| # Ensure comparison operations for MultiIndex with nlevels == 1 | ||
| # behave consistently with those for MultiIndex with nlevels > 1 | ||
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| tm.assert_raises_regex(ValueError, "Duplicated level name:", | ||
| mi.rename, names[:2], level=[0, 2]) | ||
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can you split out duplicated & uniques tests to a separate file
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| # -*- coding: utf-8 -*- | |||
| import numpy as np | |||
| import pandas.util.testing as tm | |||
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I think you have a couple of tests for unsorted in integrity, can you move here
| return index | ||
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| @pytest.fixture |
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I see that you are iterating over this in a number of tests. why is that?
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That's more or less a holdover from how the inherited base test class was implemented. I was thinking I'd leave it in case anyone wanted to extend some of these cases with another test multi-index, but yes it looks kind of sloppy. I'll refactor it and remove the duplicate fixture.
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Okay, done with that, but some tests are not relevant to the MultiIndex class or will need to be refactored. I marked those tests with a TODO. The tests that I could refactor have been. 😅
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yep that's ok. i expect after your refactor will need to go over this again and clean a bit
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| @pytest.fixture | ||
| def idx(): | ||
| major_axis = Index(['foo', 'bar', 'baz', 'qux']) |
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can you add a comment describing the fixture (always do this for fixtures)
| return ['first', 'second'] | ||
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| @pytest.fixture |
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ok w/o using these a leading _ (e.g. holder) is ok
| def f(): | ||
| if idx: | ||
| pass | ||
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can you change to do this with with
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I'm not following here. What is the need to use a context manager here? None of the functions seems to have a valid __enter__ or __exit__ methods.
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Do you want something like with pytest.raises(ValueError):?
| def f(): | ||
| if common: | ||
| pass | ||
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| def test_reconstruct_sort(): | ||
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these 2 should be in test_sorting (reconstrut_*)
| assert not ind.is_monotonic | ||
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| def test_partial_string_timestamp_multiindex(): |
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partial string should be in test_indexing, or test_timeseries
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I moved this to test_indexing.
| @pytest.mark.parametrize('first_type,second_type', [ | ||
| ('int64', 'int64'), | ||
| ('datetime64[D]', 'str')]) | ||
| def test_remove_unused_levels_large(first_type, second_type): |
| ['a', 'd', 'b', 'unused']]) | ||
| @pytest.mark.parametrize('level1', [['w', 'x', 'y', 'z'], | ||
| ['w', 'x', 'y', 'z', 'unused']]) | ||
| def test_remove_unused_nan(level0, level1): |
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I moved it, but why not in test_missing.py? Is it because of the implementation of the underlying algorithm?
| (u('x'), u('out'), u('z'), 7, u('y'), u('in'), u('z'), 119), | ||
| (u('x'), u('out'), u('z'), 9, u('y'), u('in'), u('z'), 135), | ||
| (u('x'), u('out'), u('z'), 13, u('y'), u('in'), u('z'), 145), | ||
| (u('x'), u('out'), u('z'), 14, u('y'), u('in'), u('z'), 158), |
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just rename module to: test_unique_and_duplicates
| assert idx[:0].empty | ||
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| def test_unique_na(): |
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move test_unique_and_duplicates
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So, someone removed the get_data_path from the pandas.utils.testing. I forgot to run pytest after I rebased. I can inline the function if need be. The bigger issue is the rebase broke my ability to run pytest even on master. Any thoughts on how to deal with the below? |
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You need to rebuild the Cython extensions after pulling from master as there have been recent changes with those |
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| @pytest.mark.xfail | ||
| def test_hasnans_isnans(idx): |
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can you move to test_missing
| if len(idx) == 0: | ||
| pass | ||
| elif isinstance(idx, DatetimeIndexOpsMixin): | ||
| values[1] = iNaT |
| assert result.names == index.names | ||
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| @pytest.mark.skip |
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needs to be @pytest.mark.skipif(PY3, reason=......)
| from pandas.compat import lrange, range | ||
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| def test_get_loc(idx): |
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get_loc* also goes to test_indexing
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| pytest.raises(KeyError, idx.get_loc, (False, True)) | ||
| pytest.raises(KeyError, idx.get_loc, (True, False)) | ||
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| arrays = [[], []] | ||
| index = pd.MultiIndex.from_arrays(arrays) | ||
| result = index.get_level_values(0) |
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i indicated some more to move
| assert result == (0, len(index)) | ||
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| def test_shift(idx): |
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From the "I indicated some more to move" above, my impression is to move all the test_get_level_* to test_indexing.py. Is that correct?
| assert indexer.dtype == np.intp | ||
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| def test_partial_string_timestamp_multiindex(): |
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can you move test_partial to a new file: test_partial_indexing.py
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| def test_nan_stays_float(): | ||
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| tm.assert_numpy_array_equal(index.notna(), ~result) | ||
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| @pytest.mark.parametrize('level', [0, 1]) |
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these last 2 here move to test_indexing
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Will do thanks!
…On Tue, Jun 26, 2018 at 12:52 PM, William Ayd ***@***.***> wrote:
You need to rebuild the Cython extensions after pulling from master as
there have been recent changes with those
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I think the datapath fixture is a step backward from the get_data_path which was relative to the test directory. I can't run pytest from the directly from the tests/indexes/mulit directory successfully anymore. I now have to run it from the root directory if I want the test to pass. This should probably be relative to the director of the test like before. |
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hmm. I almost always run at the root directory. but I suppose this could be addressed as well. can you open a separate issue for this? |
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How does pytest handle fixtures when you don't run from the root of the tests dir? |
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I don't think it is necessarily a pytest issue. An absolute path would
just be better since it makes the working directory irrelevant. Something
like os.path.dir(__file__) to resolve this would be relatively straight
forward.
…On Tue, Jun 26, 2018, 2:18 PM Tom Augspurger ***@***.***> wrote:
How does pytest handle fixtures when you don't run from the root of the
tests dir?
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We need a fixture so that these tests are skipped / failed (depending on
the config option) when the file isn't present.
What exception do you get?
On Tue, Jun 26, 2018 at 2:38 PM, LeakedMemory <[email protected]>
wrote:
… I don't think it is necessarily a pytest issue. An absolute path would
just be better since it makes the working directory irrelevant. Something
like os.path.dir(__file__) to resolve this would be relatively straight
forward.
On Tue, Jun 26, 2018, 2:18 PM Tom Augspurger ***@***.***>
wrote:
> How does pytest handle fixtures when you don't run from the root of the
> tests dir?
>
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>,
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I will try to get to the last round of comments later this week. I pushed some fixes prior to seeing the comments. |
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@TomAugspurger I see where you're going with the fixture. The approach definitely makes sense, but I just like that absolute file paths let me run code regardless of where I am on the command line. I opened an issue, #21646, and submitted a pull request to address it. Thanks. |
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thanks @elmq0022 ping when you want me to look. |
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@jreback looks like everything is green. I believe all the comments are addressed. I also included the last updates to test_multi.py in test unique and duplicates. |
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@jreback it looks like there were a couple of tests added that I need to include and rebase. Do you have any additional feedback. I would like to get this merged as soon as possible so everything can stay in sync. Thanks! |
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yes I agree. pls rebase. ping as soon as green and can merge. |
test_nlevels -> test_integrity.py unsort tests -> test_sorting.py duplicates and unique test -> test_unqi_dups.py
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@jreback I just pushed the rebased code. Will check back in a half hour or so to see if everything is green. Thanks! |
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great thanks! I will go thru and possibly make some comments. but take them as for a followup. |
| tm.assert_index_equal(result, expected) | ||
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| def test_from_arrays_invalid_input(): |
| pytest.raises(TypeError, MultiIndex.from_arrays, arrays=i) | ||
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| def test_from_arrays_different_lengths(): |
| labels=[[], [], []], names=names) | ||
| tm.assert_index_equal(result, expected) | ||
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Broke into several parameterized tests as the length of the names and the levels were different in each. Trying to do it all in one level seemed clunky to me.
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| def test_from_product_index_series_categorical(): | ||
| # GH13743 |
| index = idx | ||
| index.names = ['foo', 'bar'] | ||
| result = pd.Index(index) | ||
| tm.assert_index_equal( |
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write the expected out on a separate line
| idx.astype('category') | ||
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| def test_repeat(): |
| first.tolist() - idx[-3:] | ||
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| def test_argsort(idx): |
| tm.assert_numpy_array_equal(result, expected) | ||
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| def test_map(idx): |
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move map tests to test_analytics
| with np.errstate(all='ignore'): | ||
| func(idx) | ||
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| for func in [np.isfinite, np.isinf, np.isnan, np.signbit]: |
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want to split & parameterize these tests
| tm.assert_index_equal(result, expected) | ||
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| def test_numpy_ufuncs(idx): |
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I would just combine test_operations and test_analytics (call it test_analytics)
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thanks @elmq0022 very very nice! great job! if you can do a followup to address comments (and some TODO's you had in the code would be much appreciated) |
git diff upstream/master -u -- "*.py" | flake8 --diffThe file is split out, the number of tests remains 377 (2 skips on my machine; all other test cases pass), the code uses fixtures in all instances, new fixtures are in a local conftest.py file, and there are no dependencies on classes.
I'm happy to receive and address any feedback.