[Numpy-discussion] numpy.filled, again
Fri Jun 14 08:27:36 CDT 2013
On Thu, Jun 13, 2013 at 5:06 PM, <firstname.lastname@example.org> wrote:
> On Thu, Jun 13, 2013 at 4:47 PM, Eric Firing <email@example.com> wrote:
> > On 2013/06/13 10:36 AM, Benjamin Root wrote:
> >> On Thu, Jun 13, 2013 at 9:36 AM, Aldcroft, Thomas
> >> <firstname.lastname@example.org <mailto:email@example.com>>
> >> wrote:
> >> On Wed, Jun 12, 2013 at 2:55 PM, Eric Firing <firstname.lastname@example.org
> >> <mailto:email@example.com>> wrote:
> >> On 2013/06/12 8:13 AM, Warren Weckesser wrote:
> >> > That's why I suggested 'filledwith' (add the underscore if
> >> you like).
> >> > This also allows a corresponding masked implementation,
> >> 'ma.filledwith',
> >> > without clobbering the existing 'ma.filled'.
> >> Consensus on np.filled? absolutely not, you do not have a
> >> np.filledwith or filled_with: fine with me, maybe even with
> >> everyone--let's see. I would prefer the underscore version.
> >> +1 on np.filled_with. It's unique the meaning is extremely obvious.
> >> We do use np.ma.filled in astropy so a big -1 on deprecating that
> >> (which would then require doing numpy version checks to get the
> >> right method). Even when there is an NA dtype the numpy.ma
> >> <http://numpy.ma> users won't go away anytime soon.
> >> I like np.filled_with(), but just to be devil's advocate, think of the
> >> syntax:
> >> np.filled_with((10, 24), np.nan)
> >> As I read that, I am filling the array with (10, 24), not NaNs. Minor
> >> issue, for sure, but just thought I raise that.
> >> -1 on deprecation of np.ma.filled(). -1 on np.filled() due to collision
> >> with np.ma <http://np.ma> (both conceptually and programatically).
> >> np.values() might be a decent alternative.
> >> Cheers!
> >> Ben Root
> > Even if he is representing the devil, Ben raises a good point. To
> > summarize, the most recent set of suggestions that seem not to have been
> > completely shot down include:
> > np.filled_with((10, 24), np.nan)
> > np.full((10, 24), np.nan) # analogous to np.empty
> > np.values((10, 24), np.nan) # seems clear, concise
> > np.initialized((10, 24), np.nan) # a few more characters, but
> > # seems clear to me.
> > Personally, I like all of the last three better than the first.
np.filled_array((10, 24), np.nan)
If I just saw np.values(..) in some code I would never guess what it is
doing from the name, and beyond that I would guess that I can put in
multiple "values" in the second arg. np.initialized() is more obvious to
> sounds also good to me, a noun like np.ones, np.nans, np.infs, np.zeros
> I don't like np.initialized because empty also initializes and array
> (although) an empty one.
> > Eric
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