On 9/13/2013 7:10 PM, Charles R Harris wrote:
> Hi Christolph,
>
> Could you debug this a bit?
>
> ERROR: test_record_no_hash (test_multiarray.TestRecord)
> --
> Traceback (most recent call last):
> File
> "X:\Python33\lib\site
Hi Christolph,
Could you debug this a bit?
ERROR: test_record_no_hash (test_multiarray.TestRecord)
--
Traceback (most recent call last):
File
"X:\Python33\lib\site-
packages\numpy\core\tests\test_multiarray.py",
line 2464, in
On Fri, Sep 13, 2013 at 4:27 AM, Mark Bakker wrote:
> Thanks, Gregorio.
> I would like it if argmax had a keyword option to return the row,column
> index automatically (or whatever the dimension of the array).
> Afterall, argmax already knows the shape of the array.
> Calling np.unravel_index( np
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[sorry for crossposting]
Hi all,
After the success of last years workshop, we decided to hold the
Pytroll workshop this year again at SMHI.
Pytroll is a collection of free and open source python modules for the
reading, interpretation, and writing o
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[sorry for crossposting]
Hi all,
After the success of last years workshop, we decided to hold the
Pytroll workshop this year again at SMHI.
Pytroll is a collection of free and open source python modules for the
reading, interpretation, and writing o
There's already been some dance around this topic, maybe you will find
the concept behind it:
http://search.gmane.org/?query=unravel_index&group=gmane.comp.python.numeric.general
2013/9/13 Mark Bakker :
> Thanks, Gregorio.
> I would like it if argmax had a keyword option to return the row,colum
Hi Robert,
Le 13/09/2013 11:22, Robert Kern a écrit :
>
> The Python `int` type represents a C `long` integer. On almost all
> 32-bit platforms, a C `long` is 32-bits, and memory addresses and
> offsets are also 32-bits. On 64-bit platforms, memory addresses and
> offsets are 64-bits, but nothing
On Fri, Sep 13, 2013 at 9:51 AM, Pierre Haessig
wrote:
>
> Hi,
>
> Le 13/09/2013 10:32, Mark Bakker a écrit :
> > Now that you mention it, (3L,4L) probably indeed occurs on Windows 64
> > bit installations.
> > Not sure about Mac 64 bit. I haven't tried that.
> >
> > So, is it desirable that the 3
Hi,
Le 13/09/2013 10:32, Mark Bakker a écrit :
> Now that you mention it, (3L,4L) probably indeed occurs on Windows 64
> bit installations.
> Not sure about Mac 64 bit. I haven't tried that.
>
> So, is it desirable that the 32bit returns different integers than the
> 64bit? I would guess not.
Wha
Now that you mention it, (3L,4L) probably indeed occurs on Windows 64 bit
installations.
Not sure about Mac 64 bit. I haven't tried that.
So, is it desirable that the 32bit returns different integers than the
64bit? I would guess not.
Thanks,
Mark
Are they all using the same platform ? I susp
Thanks, Gregorio.
I would like it if argmax had a keyword option to return the row,column
index automatically (or whatever the dimension of the array).
Afterall, argmax already knows the shape of the array.
Calling np.unravel_index( np.argmax( A ) ) seems unnecessarily long. But it
works well thoug
Are they all using the same platform ? I suspect you're seeing the (3L, 4L)
on windows 64 bits, correct ?
FWIW, the numpy provided in Canopy is straight up upstream numpy + few
patches not merged in releases yet, and any divergence from upstream would
be considered as a bug by the canopy packaging
Hi Mark,
You're looking for "np.unravel_index" function.
Cheers,
Gregorio
2013/9/13 Mark Bakker :
> Hello list,
>
> I am trying to find the indices of the maximum value in a 2D array.
> argmax works fine, but returns the index in the flattened array.
> That is often not very convenient.
> Is the
Hello list,
I am trying to find the indices of the maximum value in a 2D array.
argmax works fine, but returns the index in the flattened array.
That is often not very convenient.
Is there a function that returns the index of the row and column?
Or can the index of the flattened array easily be co
Hello List,
I am teaching a Python programming class where students use their own
computer.
When I create an array with 3 rows and 4 columns, a = zeros((3,4)), and ask
for the shape, shape(a), then some students get (3,4), while others get
(3L,4L).
I guess the 3L and 4L are long integers. I wond
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