​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-request@scipy.org> wrote:
From: Juha Jeronen <juha.jeronen@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.jeronen@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




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Jonathan D. Slavin                 Harvard-Smithsonian CfA
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