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path: root/numpy/lib/arraysetops.py
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* BUG: Revert sort optimization in np.unique.Charles Harris2018-02-141-17/+20
* MAINT: Use AxisError in swapaxesEric Wieser2018-02-031-3/+5
* MAINT: Make it clear that counts and inverse depend only on the maskEric Wieser2018-01-311-2/+2
* DOC: Use a bulleted list to show the outputs of `unique`, for clarityEric Wieser2018-01-311-4/+5
* MAINT: Remove special-casing of empty arrays in unique_1dEric Wieser2018-01-311-16/+8
* MAINT: Remove messy handling of output tuple in np.uniqueClaudio Freire2018-01-311-31/+33
* Merge pull request #10342 from anaskhan96/union1d-fixCharles Harris2018-01-181-1/+1
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| * BUG: concatenation using axis=None in union1dAnas Khan2018-01-091-1/+1
| * BUG: fixing flattening of arrays in `union1d` in arraysetops.pyAnas Khan2018-01-081-1/+1
* | DOC: Fix version added labels in numpy.uniqueSamuel Jackson2018-01-171-0/+4
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* Merge pull request #10021 from eric-wieser/no-dtype-bool-reprAllan Haldane2017-11-181-6/+6
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| * ENH: don't show boolean dtype, as it is impliedEric Wieser2017-11-131-6/+6
* | ENH: Make `np.in1d()` work for unorderable object arrays (#9999)Jörg Döpfert2017-11-181-2/+8
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* MAINT/DOC: Use builtin when np.{x} is builtins.{x}.Eric Wieser2017-08-051-2/+2
* MAINT: Make `setxor1d' a bit clearer and speed it upwufangjie2017-07-281-5/+1
* make `setxor1d' a bit clear and speed upwufangjie2017-07-271-2/+3
* BUG: set default type for empty index array to `numpy.intp` (#9142)Konrad Kapp2017-05-201-2/+2
* DOC: fix docstring for np.isinStephan Hoyer2017-05-071-0/+1
* ENH: Add isin, genereralizing in1d to ND arrays (#8423)B R S Recht2017-05-051-3/+99
* Added axis argument to numpy.uniquemartinosorb2016-11-131-11/+73
* BUG: return subclasses from ediff1dMattHarrigan2016-10-271-13/+12
* ENH: fast track default kwargs for ediff1dMattHarrigan2016-10-261-0/+4
* ENH: performance improvement to ediff1dMattHarrigan2016-10-181-14/+27
* DOC: Fix docstring warnings in documetation generation.Charles Harris2015-07-011-2/+4
* BUG: setdiff1d return dtypeChristian Brodbeck2015-05-071-6/+4
* Merge pull request #5619 from jaimefrio/unique_docstringJulian Taylor2015-03-011-3/+4
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| * DOC: Describe return_counts keyword in np.unique docstringJaime Fernandez2015-03-011-3/+4
* | ENH: speed-up in1d replacing sorting with fancy indexingjaimefrio2015-01-251-3/+4
* | Add examples for intersect1d and union1d of more than two arrays.Christian Brueffer2014-10-151-0/+10
* | BUG: np.unique with chararray + inverse_indexCJ Carey2014-09-231-1/+1
* | DOC: warn about using a set with 'in1d'.Patrick Peglar2014-08-311-0/+4
* | ENH: Speed up `unique` with `return_inverse`jaimefrio2014-08-271-2/+3
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* STY: Make files in numpy/lib PEP8 compliant.Charles Harris2014-07-311-7/+7
* MAINT: Fixes for problems in numpy/lib revealed by pyflakes.Charles Harris2014-07-311-4/+7
* BUG: Correct behavior for lists of tuples in unique, closes #4785jaimefrio2014-06-061-7/+1
* ENH: add a 'return_counts=' keyword argument to `np.unique`jaimefrio2014-04-051-26/+42
* BUG: Fixes #2799jaimefrio2014-02-211-2/+1
* ENH: add `invert` parameter to numpy.in1d().Julien Phalip2013-04-081-7/+26
* 2to3: Apply `print` fixer.Charles Harris2013-04-061-1/+1
* 2to3: Use absolute imports.Charles Harris2013-03-281-1/+1
* 2to3: Put `from __future__ import division in every python file.Charles Harris2013-03-011-0/+3
* BUG: Fix regression for in1d with non-array inputSebastian Berg2012-12-081-0/+4
* DOC: merge doc wiki edits. A number of small edits in linalg and lib.Ralf Gommers2012-07-071-8/+8
* BUG: ticket #2063, make unique return consistent index.Bryan Van de Ven2012-03-301-3/+6
* ENH: missingdata: Implemented boolean assignment, working with NA masksMark Wiebe2011-08-271-1/+1
* ENH: speed up in1d() in the case of ar1 >> ar2. Closes #1603.rgommers2011-05-291-2/+10
* DEP: remove unique1d, setmember1d and intersect1d_nu.rgommers2011-03-111-76/+2
* Merge deprecate_with_doc into deprecate(message="...").Stefan van der Walt2009-10-251-4/+4
* Docstring update: libPauli Virtanen2009-10-021-45/+91
* Docstring updates, part 1Pauli Virtanen2009-10-021-11/+28
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