both napari and scikit-image use atleast_ a few times. I don’t have many
examples of where I used nd because it didn’t exist. But I have the very
distinct impression of needing it repeatedly. In some places, I’ve used
`np.broadcast_to` to signal the same intention, where `atleast_nd` would have
I did a quick search of matplotlib, and found a few uses of all three
functions:
*
https://github.com/matplotlib/matplotlib/blob/fed55c63a314351cd39a12783f385009782c06e1/lib/matplotlib/_layoutgrid.py#L441-L446
This one isn't really numpy at all, and is really just a shorthand for
normalizing an
My original usecase for these was dealing with output data from Matlab
where those users would use `squeeze()` quite liberally. In addition, there
was the problem of the implicit squeeze() in the numpy's loadtxt() for
which I added the ndmin kwarg for in case an input CSV file had just one
row or n
On Thu, Feb 11, 2021 at 9:42 AM Benjamin Root wrote:
> for me, I find that the at_least{1,2,3}d functions are useful for
> sanitizing inputs. Having an at_leastnd() function can be viewed as a step
> towards cleaning up the API, not cluttering it (although, deprecations of
> the existing function
> I find that the at_least{1,2,3}d functions are useful for sanitizing
inputs
IMO, this type of "sanitization" goes against "In the face of ambiguity,
refuse the temptation to guess".
Instead of using `at_least{n}d`, it could be argued that `if np.ndim(x) !=
n: raise ValueError` is a safer bet, wh
The original functions appear to have been written for things like *stack
originally, which actually goes a long way to explaining the inconsistent
argument list.
- Joe
On Thu, Feb 11, 2021, 12:41 Benjamin Root wrote:
> for me, I find that the at_least{1,2,3}d functions are useful for
> saniti
for me, I find that the at_least{1,2,3}d functions are useful for
sanitizing inputs. Having an at_leastnd() function can be viewed as a step
towards cleaning up the API, not cluttering it (although, deprecations of
the existing functions probably should be long given how long they have
existed).
O
