Why do these belong in NumPy? What is the broad field of application of
these functions? And, does a more general concept underpin them?
Thanks, Alan Isaac
On Tue, Jan 23, 2024 at 5:17 PM Marten van Kerkwijk
wrote:
> Hi All,
>
> I have a PR [1] that adds `np.matvec` and `np.vecmat` gu
only one column, so a "stack" of
them
is actually 3d. Perhaps the needless dimension is then the real problem
and can either not be produced or can be squeezed away..
Thanks, Alan Isaac
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, but I'm still confused about the need.
Perhaps the following illustrates why.
With respect to the example you offered, what am I missing?
Alan Isaac
import numpy as np
rng = np.random.default_rng()
rot = np.array([[0,-1],[1,0]])#a rotation matrix
print("first type of stack of vect
(e.g., the derived
graphs that allow an intuitive representation of transitive closure).
fwiw,
Alan
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Some people consider that not to be Pythonic:
https://mail.python.org/pipermail/python-dev/2003-October/038855.html
Alan Isaac
On 4/12/2018 1:36 PM, Joseph Fox-Rabinovitz wrote:
Would it break backwards compatibility to add the input as a return value to
np.random.shuffle? I doubt anyone out
eparate functions in apparently
similar cases. (I am not at all trying to claim that the
argument against flag parameters is definitive; I'm just
mentioning that this viewpoint has already been
promulgated on this list.)
Cheers, Alan Isaac
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cular case?
Alan Isaac
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leads to a flipcause site that fails
to clarify. I suspect many academic institutions would be interested
in making occasional, modest contributions toward NumPy development,
if the recipient and intended uses were entirely transparent.
Cheers, Alan Isaac
On 4/9/2019 3:10 AM, Ralf Gommers wrote
hon's `reduce` is certainly
conceivable for the fold.)
Thank you,
Alan Isaac
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Points of reference:
Mathematica: https://reference.wolfram.com/language/ref/Transpose.html
Matlab: https://www.mathworks.com/help/matlab/ref/permute.html
Personally I would find any divergence between a.T and a.transpose()
to be rather surprising.
Cheers, Alan Isaac
Iirc, that works only on (2-d) matrices.
Cheers, Alan Isaac
On 6/24/2019 10:45 AM, Todd wrote:
I think the corresponding MATLAB function/operation is this:
https://www.mathworks.com/help/matlab/ref/transpose.html
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iest and least buggy transition away from np.matrix.
But since `a.H` would not be a view of `a`, most probably any `a.H`
proposal should be discarded as misleading and not materially better than
the existing syntax (a.conj().T).
I trust nobody is proposing to change `transpose`.
gns are usually carefully considered.
Cheers, Alan Isaac
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Upgrading numpy with pip on Python 3.8b4 on Win 10 produced:
ERROR: Could not install packages due to an EnvironmentError: [WinError 123] The
filename, directory name, or volume label syntax is incorrect: '"C:'
However, the install appears to have been successful.
f
On Fri, Sep 27, 2019 at 10:12 AM Alan Isaac wrote:
Upgrading numpy with pip on Python 3.8b4 on Win 10
produced:
ERROR: Could not install packages due to an
EnvironmentError: [WinError 123] The filename,
directory name, or volume label syntax is incorrect:
&#x
3.8 pip or numpy.
Possibly relevant:
https://github.com/numpy/numpy/issues/11451
Alan
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`cumsum` provides a sequence of partial sums, exactly as expected.
https://reference.wolfram.com/language/ref/Accumulate.html
https://www.mathworks.com/help/matlab/ref/cumsum.html
https://docs.julialang.org/en/v1/base/arrays/#Base.cumsum
https://hackage.haskell.org/package/base-4.12.0.0/docs/Data-
per watt, and avoids the worst waste disposal issues.
fwiw, Alan Isaac
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numpy 1.19.3 installs fine.
numpy 1.19.4 appears to install but does not work.
(Details below. The supplied tinyurl appears relevant.)
Alan Isaac
PS test> python38 -m pip install -U numpy
Collecting numpy
Using cached numpy-1.19.4-cp38-cp38-win_amd64.whl (13.0 MB)
Installing collected packa
"current expectation is that this [fix] will be able to be released near the end of
January 2021"
!
On 12/2/2020 7:13 PM, Ilhan Polat wrote:
Yes this is known and we are waiting MS to roll out a solution for this. Here are more details
https://developercommunity2.visualstudio.com/t/fmod-after-
Yes.
On 2/22/2021 7:08 AM, Pearu Peterson wrote:
it is nobody's business, IMHO, and is likely very hard if not impossible to
verify
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generic], Sequence[Union[int,
float, complex, str, bytes, generic]], Sequence[Sequence[Any]],_SupportsArray]"
However, `choose` is happy to have e.g. `choices=(0,seq)` (and I hope it will
remain so!).
E.g.,
a = a = (0,1,1,0,0,0,1,1) #binary array
np.choose((0,range(8)) #array([0, 1, 2,
sequences are converted to arrays and in this case the conversion is not returning a 2 element object array but
expanding and then concatenation.
On Sat, Apr 17, 2021, 18:56 Alan G. Isaac mailto:alan.is...@gmail.com>> wrote:
2. Separately, mypy is unhappy with my 2nd argument to `
Is there any thought of allowing for other comparisons?
In which case `last_k` might be preferable.
Alan Isaac
On 5/30/2021 2:38 AM, Ilhan Polat wrote:
I think "max_k" is a good generalization of the regular "max".
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/sort/#Base.Sort.partialsortperm
Alan Isaac
On 5/30/2021 4:40 AM, kang...@mail.ustc.edu.cn wrote:
Hi, Thanks for reply, I present some details below:
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Nowadays, free AIs are good for such questions:
https://www.youtube.com/watch?v=bA-tbHwvA6A
hth
On Thu, Oct 31, 2024 at 9:31 AM Joao Pereira via NumPy-Discussion <
numpy-discussion@python.org> wrote:
> I don´t know how to use the numpy on spyder. I have tried to use this
> line: "import numpy as
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