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ENH: add signature argument to vectorize for vectorizing like generalized ufuncs #8054

Merged
merged 6 commits into from
Oct 18, 2016
Merged

ENH: add signature argument to vectorize for vectorizing like generalized ufuncs #8054

merged 6 commits into from
Oct 18, 2016

Commits on Sep 30, 2016

  1. ENH: add signature argument to vectorize for generalized ufuncs 

    Example usage (from the docstring):

    Vectorized convolution:

    >>> convolve = np.vectorize(np.convolve, signature='(n),(m)->(k)')
    >>> convolve(np.eye(4), [1, 2, 1])
    array([[ 1.,  2.,  1.,  0.,  0.,  0.],
           [ 0.,  1.,  2.,  1.,  0.,  0.],
           [ 0.,  0.,  1.,  2.,  1.,  0.],
           [ 0.,  0.,  0.,  1.,  2.,  1.]])
    @shoyer
    shoyer committed Sep 30, 2016
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Commits on Oct 3, 2016

  1. Use str.format rather than %

    @shoyer
    shoyer committed Oct 3, 2016
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Commits on Oct 11, 2016

  1. Fix spelling typo

    @shoyer
    shoyer committed Oct 11, 2016
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  2. BUG: fix np.vectorize for size 0 inputs

    @shoyer
    shoyer committed Oct 11, 2016
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Commits on Oct 14, 2016

  1. DOC: add vectorize to 1.12.0 release notes

    @shoyer
    shoyer committed Oct 14, 2016
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Commits on Oct 17, 2016

  1. [ci-skip] Remove outdated comment

    @shoyer
    shoyer committed Oct 17, 2016
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