Personally I like atleast_1d, which will convert a scalar into a 1d array but will leave arrays untouched (i.e. won't change the dimensions. Not sure what the advantages/disadvantages are relative to asarray.
Jon On Fri, Oct 2, 2015 at 7:05 AM, <numpy-discussion-requ...@scipy.org> wrote: > From: Juha Jeronen <juha.jero...@jyu.fi> > To: Discussion of Numerical Python <numpy-discussion@scipy.org> > Cc: > Date: Fri, 2 Oct 2015 13:31:47 +0300 > Subject: Re: [Numpy-discussion] Cython-based OpenMP-accelerated quartic > polynomial solver > On 02.10.2015 13:07, Daπid wrote: > > > On 2 October 2015 at 11:58, Juha Jeronen <juha.jero...@jyu.fi> wrote: > >> >>> >> First version done and uploaded: >> >> >> https://yousource.it.jyu.fi/jjrandom2/miniprojects/trees/master/misc/polysolve_for_numpy >> > > Small comment: now you are checking if the input is a scalar or a ndarray, > but it should also accept any array-like. If I pass a list, I expect it to > work, internally converting it into an array. > > > Good catch. > > Is there an official way to test for array-likes? Or should I always > convert with asarray()? Or something else? > > > -J > -- ________________________________________________________ Jonathan D. Slavin Harvard-Smithsonian CfA jsla...@cfa.harvard.edu 60 Garden Street, MS 83 phone: (617) 496-7981 Cambridge, MA 02138-1516 cell: (781) 363-0035 USA ________________________________________________________
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