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Commits on Oct 13, 2016

• Merge pull request #96 from njsmith/pandas-is-categorical-dtype-moved

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• Work around pandas.Index.equals change in 0.19.0

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• pandas.Categorical.from_array is deprecated

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• Adapt to new location of pandas is_categorical_dtype

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Commits on Oct 12, 2016

• Merge pull request #95 from adamchainz/readthedocs.io

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• Convert readthedocs links for their .org -> .io migration for hosted projects

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Commits on Jul 9, 2016

• Delete code only needed for numpy < 1.4

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• Delete code only needed on python 2.5 and earlier

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Commits on May 3, 2016

• Merge branch 'master' of https://github.com/pydata/patsy

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• Let's try codecov

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Commits on Apr 8, 2016

• Merge pull request #84 from njsmith/conda-gfortran-workaround

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• Work around anaconda gfortran dependency bug

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Commits on Apr 7, 2016

• Merge pull request #83 from njsmith/fix-DesignInfo-zero-rows-repr

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Commits on Apr 6, 2016

• Fix a crash in DesignMatrix.__repr__ when shape[0] == 0

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Commits on Jan 9, 2016

• Remove 2.6, 3.2, 3.3 from the supported version metadata

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Commits on Jan 6, 2016

• Fix a silly syntax error

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Commits on Jan 5, 2016

• Make test prints a little less enthusiastic

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• [travis] Workaround OpenBLAS awfulness on Travis

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• stop testing on py26 and py33

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• [travis] remove old-version pinning for numpy and scipy

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• [travis] more debugging for test_redundancy_thoroughly

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• [travis] attempt to figure out why test is freezing

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• [travis] add 3.5 to the list of tested versions

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• Add 3.5 to the list of supported versions.

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Commits on Dec 18, 2015

• add code of conduct to MANIFEST.in

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• add code of conduct

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Commits on Nov 10, 2015

• [doc] Add zenodo badge for v0.4.1

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Commits on Nov 9, 2015

• Bump version to 0.4.1+dev

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• Bump version to 0.4.1

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• [doc] Clean up docs to keep up with new regressions, py3, etc.

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• [doc] Update changes.rst for 0.4.1

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• [travis] MORE VERBOSITY

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• [travis] Make tests verbose in hopes of smoking out WTF is going on

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Commits on Nov 8, 2015

• Merge branch 'master' of https://github.com/pydata/patsy

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• [travis] temporarily pin numpy=1.9.2 scipy=0.15.1

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