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path: root/numpy/lib/tests/test_arraysetops.py
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* MAINT: lib: PEP-8 clean up in test_arraysetops.py.Warren Weckesser2020-03-151-38/+41
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* BUG: lib: Handle axes with length 0 in np.unique.Warren Weckesser2020-03-151-0/+6
| | | | | | | Tweak a few lines so that arrays with an axis with length 0 don't break the np.unique code. Closes gh-15559.
* TST: lib: Add a unit test for np.unique applied to arrays with a length 0 axis.Huon Wilson2020-03-151-0/+35
| | | | | This code is from github user huonw, from this PR: https://github.com/numpy/numpy/pull/15565
* MAINT: Remove implicit inheritance from object class (#15236)Jon Dufresne2020-01-051-3/+3
| | | | | | | Inheriting from object was necessary for Python 2 compatibility to use new-style classes. In Python 3, this is unnecessary as there are no old-style classes. Dropping the object is more idiomatic Python.
* MAINT: Remove unnecessary 'from __future__ import ...' statementsJon Dufresne2020-01-031-2/+0
| | | | | As numpy is Python 3 only, these import statements are now unnecessary and don't alter runtime behavior.
* BUG: Make ``ediff1d`` kwarg casting consistentSebastian Berg2019-11-251-7/+12
| | | | | | | | | | | | | | This reverts commit c088383cb290ca064d456e89d79177a0e234cb8d and uses the same kind casting rule for the additional keyword arguments ``to_end`` and ``to_begin``. This results in slightly more leniant behaviour for integers (which can now have overflows that are hidden), but fixes an issue with the handling of NaN. Generally, this behaviour seems more conistent with what NumPy does elsewhere. The Overflow issue exists similar in many other places and should be solved by integer overflow warning machinery while the actual cast takes place. Closes gh-13103
* fix uniqueHuang, Guangtai2019-08-131-2/+5
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* MAINT: Replace integers in places where booleans are expectedMSeifert042019-07-011-7/+7
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* BUG: loosen kwargs requirements in ediff1dmattip2019-01-101-4/+4
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* MAINT: Review F401,F841,F842 flake8 errors (unused variables and imports) ↵Roman Yurchak2018-12-061-1/+0
| | | | | | | | | | | | (#12448) * Review F401,F841,F842 flake8 errors (unused variables, imports) * Review comments * More tests in test_installed_npymath_ini * Review comments
* DOC, TST: test setdiff1d assume_uniqueTyler Reddy2018-10-161-0/+7
| | | | | | | | * add unit test for setdiff1d covering code path where assume_unique is True * remove setdiff1d docstring guarantee that returned value is sorted -- it is not
* BUG: add type cast check to ediff1dTyler Reddy2018-08-261-1/+66
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* BUG: Fix regression in intersect1d.Charles Harris2018-08-171-7/+18
| | | | | | | | | The function was failing for non-ndarray objects that defined that defined __array__, in particular `xarray.DataArray`. Fix by calling asanyarray on the inputs, which was done implicitly before. Closes #11772.
* ENH: Modify intersect1d to return common indices (#10684)Christopher2018-05-251-1/+40
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * added function commonpts1d * Update arraysetops.py * Update arraysetops.py * modified intersect1d to return common indices Proposed this idea in previous pull request (https://github.com/numpy/numpy/pull/10683) and made suggested changes for implementing this idea to have relevant common indices that correspond to the values in the intersection of the two arrays. * update intersect1d with suggested changes * implemented return_indices options for intersect1d I've tested out the above code and for the ~10 different test sets I've tried it's worked thus far. It's probably not the cleanest implementation but it works and is vectorized. * cleaned up structure for intersect1d * fixed copy-paste error, added second test, changed a conditional * Testing return_indices in intersect1d * formatting * created separate test function for intersect1d indices, added spaces after commas * fixed up example and some style * fixed style * style change * removed one example * removed extra space * added version number for return_indices * added 'return_indices' keyword for np.intersect1d * fixed formatting * updated return_indices entry * fixed some typos and style * added bit about first instance of a value being used * STY: Fix comment formats * DOC: missing space * DOC: correct parameter names in docstring * made suggested changes * fixed a mistake from previous update also added documentation for comm1, comm2 to match doc from np.unique * added in tests for 2d inputs * STY: Add missing spaces around commas * TST: Correct array to actually be unique * STY: Spaces at beginning of comments
* MAINT: move matrix tests in lib to matrixlib.Marten van Kerkwijk2018-04-291-2/+0
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* MAINT: Remove all uses of run_module_suite.Charles Harris2018-04-061-7/+1
| | | | | That function is nose specific and has not worked since `__init__` files were added to the tests directories.
* BUG: Revert sort optimization in np.unique.Charles Harris2018-02-141-0/+11
| | | | | | | | The optimization was to sort integer subarrays by treating them as strings of unsigned bytes. That worked fine for finding the unique subarrays, but the sort order of the results could be unexpected. Closes #10495.
* MAINT: Use AxisError in swapaxesEric Wieser2018-02-031-2/+2
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* STY: Break some long lines.Charles Harris2018-01-181-1/+2
| | | [ci skip]
* adding a reference to the related issueAnas Khan2018-01-101-0/+1
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* adding new tests for union1dAnas Khan2018-01-091-0/+6
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* ENH: Make `np.in1d()` work for unorderable object arrays (#9999)Jörg Döpfert2017-11-181-0/+31
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* TST: Remove unittest dependencies in numpy/lib/tests.Charles Harris2017-07-241-8/+8
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* BUG: set default type for empty index array to `numpy.intp` (#9142)Konrad Kapp2017-05-201-0/+10
| | | | Fixes #9137
* ENH: Add isin, genereralizing in1d to ND arrays (#8423)B R S Recht2017-05-051-1/+41
| | | | | | This fixes gh-8331 Also update the docs for arraysetops to remove the outdated "1D" from the description, which was already incorrect for np.unique.
* BUG: Make MaskedArray.argsort and MaskedArray.sort consistentEric Wieser2017-03-071-0/+12
| | | | | | | Previously, these had different rules for unmasking values, and even different arguments to decide how to do so. Fixes #8664
* Added axis argument to numpy.uniquemartinosorb2016-11-131-105/+186
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* BUG: return subclasses from ediff1dMattHarrigan2016-10-271-0/+2
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* TST: Added cases for better coverage of ediff1dMattHarrigan2016-10-211-0/+6
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* BUG: setdiff1d return dtypeChristian Brodbeck2015-05-071-1/+3
| | | | | Fixes #5846 (If called with an empty array as first argument, the returned array had dtype bool instead of the dtype of the input array)
* BUG: np.unique with chararray + inverse_indexCJ Carey2014-09-231-0/+6
| | | | | The call to `empty_like` was trying to use the `chararray` subclass, which doesn't support the `np.intp` dtype.
* STY: PEP8 compliance for numpy/lib/tests.Charles Harris2014-07-311-2/+2
| | | | | | | The possibly controversial part of this is making the nested array value lists PEP8 compliant, as there is something to be said aligning the values for clarity. In the end, it seemed like the easiest thing to do was to make them PEP8 compliant. The eye can get used to that.
* MAINT: Fix problems noted by pyflakes in numpy/lib/tests.Charles Harris2014-07-311-4/+6
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* BUG: Correct behavior for lists of tuples in unique, closes #4785jaimefrio2014-06-061-0/+10
| | | | | | | | np.unique produces wrong results when passed a list of tuples and no keyword arguments, as it fails to recognize it as a multidim array, but handles it as a 1D array of objects. The only way around this seems to be to completely eliminate the fast path for non-array inputs using `set`.
* ENH: add a 'return_counts=' keyword argument to `np.unique`jaimefrio2014-04-051-11/+39
| | | | | | | | | | | | | | | | This PR adds a new keyword argument to `np.unique` that returns the number of times each unique item comes up in the array. This allows replacing a typical numpy construct: unq, _ = np.unique(a, return_inverse=True) unq_counts = np.bincount(_) with a single line of code: unq, unq_counts = np.unique(a, return_counts=True) As a plus, it runs faster, because it does not need the extra operations required to produce `unique_inverse`.
* BUG: Fixes #2799jaimefrio2014-02-211-0/+4
| | | | | Use `np.sort` instead of `sorted` when the input is a list and no indices are requested. Fixes #2799.
* STY: Make numpy/lib/test/*.py PEP8 compliant.Charles Harris2013-09-031-56/+55
| | | | | | | Run autopep8 over the test files in numpy/lib/test and make fixes to the result. Also remove Python5 workaround.
* STY: Giant comma spacing fixup.Charles Harris2013-08-181-21/+21
| | | | | | | Run the 2to3 ws_comma fixer on *.py files. Some lines are now too long and will need to be broken at some point. OTOH, some lines were already too long and need to be broken at some point. Now seems as good a time as any to do this with open PRs at a minimum.
* 2to3: Apply zip fixer.Charles Harris2013-04-131-2/+2
| | | | | | | | | | In Python 3 zip returns an iterator instead of a list. Consequently, in places where an iterator won't do it must be enclosed in list(...). Lists instead of iterators are also used in array constructors as using iterators there usually results in an object array containing an iterator object. Closes #3094
* ENH: add `invert` parameter to numpy.in1d().Julien Phalip2013-04-081-0/+9
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* 2to3: Apply `print` fixer.Charles Harris2013-04-061-1/+1
| | | | | | | Add `print_function` to all `from __future__ import ...` statements and use the python3 print function syntax everywhere. Closes #3078.
* 2to3: Use absolute imports.Charles Harris2013-03-281-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The new import `absolute_import` is added the `from __future__ import` statement and The 2to3 `import` fixer is run to make the imports compatible. There are several things that need to be dealt with to make this work. 1) Files meant to be run as scripts run in a different environment than files imported as part of a package, and so changes to those files need to be skipped. The affected script files are: * all setup.py files * numpy/core/code_generators/generate_umath.py * numpy/core/code_generators/generate_numpy_api.py * numpy/core/code_generators/generate_ufunc_api.py 2) Some imported modules are not available as they are created during the build process and consequently 2to3 is unable to handle them correctly. Files that import those modules need a bit of extra work. The affected files are: * core/__init__.py, * core/numeric.py, * core/_internal.py, * core/arrayprint.py, * core/fromnumeric.py, * numpy/__init__.py, * lib/npyio.py, * lib/function_base.py, * fft/fftpack.py, * random/__init__.py Closes #3172
* 2to3: Put `from __future__ import division in every python file.Charles Harris2013-03-011-1/+2
| | | | | | | | This should be harmless, as we already are division clean. However, placement of this import takes some care. In the future a script can be used to append new features without worry, at least until such time as it exceeds a single line. Having that ability will make it easier to deal with absolute imports and printing updates.
* TST: Add test for in1d ravellingSebastian Berg2012-12-161-0/+13
| | | | | | The behavior of in1d is not really defined here, but it should be at least consistent over different execution branches. This is what it has been for most usages.
* BUG: Fix regression for in1d with non-array inputSebastian Berg2012-12-081-2/+3
| | | | | | | | | There was a regression introduced by the speed improvement in commit 6441c2a. This fixes it, and generally ravels the arrays for np.in1d. However it can be argued that at least the first array should not be ravelled in the future. Fixes "Issue gh-2755"
* BUG: test_unique needs to test bigger arrays.Charles Harris2012-07-111-37/+31
| | | | | | | | Small arrays are sorted with insertion sort, which is a stable sort. Consequently larger arrays are needed to check that the sort used is properly stable. The test was also refactored to make it more compact.
* TST: Improve type coverage in test_unique.Charles Harris2012-07-111-20/+57
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* ENH: speed up in1d() in the case of ar1 >> ar2. Closes #1603.rgommers2011-05-291-53/+49
| | | | | | A timing script justifying the switching criterion is attached to ticket 1603. Thanks to Neil Crighton.
* DEP: remove unique1d, setmember1d and intersect1d_nu.rgommers2011-03-111-42/+3
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* Made sure the warning filters in test_function_base and test_arraysetops do ↵dhuard2010-08-311-10/+11
| | | | not modify user defined filters.
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