All,
As you're probably aware, the current test suite for numpy.ma raises some
nagging warnings such as "invalid value in ...". These warnings are only issued
when a standard numpy ufunc (eg., np.sqrt) is called on a MaskedArray, instead
of its numpy.ma (eg., np.ma.sqrt) equivalent. The reason i
David Carmean halibut.com> writes:
>
>
> I understand that ma.MaskedArray is a subclass of ndarray; in addition to
> the requirements for subclassing the latter, what does ma.MaskedArray add to
> the list? I.e. what do I have to watch out for?
You may want to take a look at the TimeSeries cl
I understand that ma.MaskedArray is a subclass of ndarray; in addition to the
requirements
for subclassing the latter, what does ma.MaskedArray add to the list? I.e.
what do I have to
watch out for?
Basically I need a version of Luke Campagnola's MetaArray (
http://www.scipy.org/Cookbook/M
Hello all,
The version of f2py that's installed on our system doesn't appear to handle
version numbers correctly. I've attached the relevant output of f2py below:
customize IntelFCompiler
> Couldn't match compiler version for 'Intel(R) Fortran Intel(R) 64 Compiler
> Professional for applications
Ok, maybe can you print shape of the {rho} array as calculated my
matlab? I know that sum() in matlab sums over rows (i.e., the first
dimension), but I'm curious if it returns for an, say, (10x20) array
an (20,) array or an (1, 20) array.
And to Josef: cx is an 1d vector, so no. And Hmmm ... mos
On Tue, Mar 16, 2010 at 1:57 PM, Keith Goodman wrote:
> On Tue, Mar 16, 2010 at 7:43 AM, Keith Goodman wrote:
>> On Tue, Mar 16, 2010 at 5:56 AM, wrote:
>>> On Tue, Mar 16, 2010 at 9:43 AM, gerardo.berbeglia
>>> wrote:
How can i take out the diagonal values of a matrix and fix them
On Tue, Mar 16, 2010 at 7:43 AM, Keith Goodman wrote:
> On Tue, Mar 16, 2010 at 5:56 AM, wrote:
>> On Tue, Mar 16, 2010 at 9:43 AM, gerardo.berbeglia
>> wrote:
>>>
>>> How can i take out the diagonal values of a matrix and fix them to zero?
>>>
>>> Example:
>>>
>>> input: [[2,3,4],[3,4,5],[4,5
On Tue, Mar 16, 2010 at 9:45 AM, Sam Tygier
wrote:
> On Tue, Mar 16, 2010 at 12:23 PM, gmail.com> wrote:
>> You can file a ticket, but if this is a function that is already in
>> real use, then it would be an unpleasant break in the API
>
> done
> http://projects.scipy.org/numpy/ticket/1431
>
>
On Tue, Mar 16, 2010 at 12:23 PM, gmail.com> wrote:
> You can file a ticket, but if this is a function that is already in
> real use, then it would be an unpleasant break in the API
done
http://projects.scipy.org/numpy/ticket/1431
thanks
Sam
___
NumP
On Tue, Mar 16, 2010 at 12:23 PM, wrote:
> On Tue, Mar 16, 2010 at 12:04 PM, Sam Tygier
> wrote:
>> On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold
>> wrote:
so i always get the vales back in the original order. is the by design, or
a bug?
>>>
>>> I've been bitten by this bef
On Tue, Mar 16, 2010 at 12:04 PM, Sam Tygier
wrote:
> On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold wrote:
>>> so i always get the vales back in the original order. is the by design, or
>>> a bug?
>>>
>>
>> I've been bitten by this before too and asked the same question with
>> no response.
On Tue, Mar 16, 2010 at 12:08 PM, wrote:
> On Tue, Mar 16, 2010 at 11:52 AM, Skipper Seabold wrote:
>> On Tue, Mar 16, 2010 at 11:46 AM, wrote:
>>> On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold
>>> wrote:
On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
wrote:
> Thanks for tho
On Tue, Mar 16, 2010 at 11:52 AM, Skipper Seabold wrote:
> On Tue, Mar 16, 2010 at 11:46 AM, wrote:
>> On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold
>> wrote:
>>> On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
>>> wrote:
Thanks for those responses.
could the dtype pages in th
On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold wrote:
>> so i always get the vales back in the original order. is the by design, or a
>> bug?
>>
>
> I've been bitten by this before too and asked the same question with
> no response. I think it's just a limitation of the design of
> structured
On Tue, Mar 16, 2010 at 11:46 AM, wrote:
> On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold wrote:
>> On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
>> wrote:
>>> Thanks for those responses.
>>>
>>> could the dtype pages in the numpy reference link to the basics.rec page in
>>> the user guide?
On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold wrote:
> On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
> wrote:
>> Thanks for those responses.
>>
>> could the dtype pages in the numpy reference link to the basics.rec page in
>> the user guide?
>>
>> there seem to be some gotchas in list within
On Tue, Mar 16, 2010 at 11:34 AM, Skipper Seabold wrote:
> On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
> wrote:
>> Thanks for those responses.
>>
>> could the dtype pages in the numpy reference link to the basics.rec page in
>> the user guide?
>>
>> there seem to be some gotchas in list within
gmail.com> writes:
> If I remember correctly it was unique1d in numpy 1.3 that had the
> return_inverse options.
>
> Check the functions in arraysetops for numpy 1.3.
> unique1d is in my help file for numpy 1.2 (which was the fastest for
> me to look up)
>
You're right, again.
unique1d is in
On Tue, Mar 16, 2010 at 11:20 AM, Sam Tygier
wrote:
> Thanks for those responses.
>
> could the dtype pages in the numpy reference link to the basics.rec page in
> the user guide?
>
> there seem to be some gotchas in list within a list notation.
>
> if i have
> a = array([0,0.1,0.2,0.3,0.4])
> b
Thanks for those responses.
could the dtype pages in the numpy reference link to the basics.rec page in the
user guide?
there seem to be some gotchas in list within a list notation.
if i have
a = array([0,0.1,0.2,0.3,0.4])
b = array((0,0.1,0.2,0.3,0.4), dtype=[('a','f'), ('b','f'), ('c','f'),
On Tue, Mar 16, 2010 at 5:56 AM, wrote:
> On Tue, Mar 16, 2010 at 9:43 AM, gerardo.berbeglia
> wrote:
>>
>> How can i take out the diagonal values of a matrix and fix them to zero?
>>
>> Example:
>>
>> input: [[2,3,4],[3,4,5],[4,5,6]]
>>
>> output: [[0,3,4],[3,0,5],[4,5,0]]
>
> assuming a is sq
On Tue, Mar 16, 2010 at 9:43 AM, gerardo.berbeglia wrote:
>
> How can i take out the diagonal values of a matrix and fix them to zero?
>
> Example:
>
> input: [[2,3,4],[3,4,5],[4,5,6]]
>
> output: [[0,3,4],[3,0,5],[4,5,0]]
assuming a is square
a[range(len(a)),range(len(a))] = 0
see also np.diag
How can i take out the diagonal values of a matrix and fix them to zero?
Example:
input: [[2,3,4],[3,4,5],[4,5,6]]
output: [[0,3,4],[3,0,5],[4,5,0]]
Thanks.
--
View this message in context:
http://old.nabble.com/How-to-fix-the-diagonal-values-of-a-matrix-tp27917991p27917991.html
Sent from th
On Tue, Mar 16, 2010 at 9:33 AM, Jorge Scandaliaris
wrote:
> gmail.com> writes:
>
>>
>> If I understand correctly, then you want return_inverse (the original
>> array recoded to using integers 0...len(ctab)-1
>>
>
>> Josef
>
> Right, thanks! I didn't see this cause I use numpy 1.3, where this i
gmail.com> writes:
>
> If I understand correctly, then you want return_inverse (the original
> array recoded to using integers 0...len(ctab)-1
>
> Josef
Right, thanks! I didn't see this cause I use numpy 1.3, where this is
not available.
Jorge
On Tue, Mar 16, 2010 at 8:47 AM, Sam Tygier
wrote:
> Hello
>
> I can't find much documentation for using arrays where the dtype has named
> fields (is there a term for this sort of array). there is some in
> http://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html
> http://docs.scipy.org/doc/
On Tue, Mar 16, 2010 at 8:47 AM, Sam Tygier
wrote:
> Hello
>
> I can't find much documentation for using arrays where the dtype has named
> fields (is there a term for this sort of array). there is some in
Structured array (or record array if you make a record array -- the
difference is record a
On Tue, Mar 16, 2010 at 8:00 AM, Jorge Scandaliaris
wrote:
> Hi,
> I have a 1D array containing indexes to specific measurements. As this array
> is
> a slice of a bigger one, the indexes don't necessarily start at 0 nor they are
> sequential. For example, I can have an array A where
>
> In [34]:
Hello
I can't find much documentation for using arrays where the dtype has named
fields (is there a term for this sort of array). there is some in
http://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html
http://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.html
but that's most crea
Hi,
I have a 1D array containing indexes to specific measurements. As this array is
a slice of a bigger one, the indexes don't necessarily start at 0 nor they are
sequential. For example, I can have an array A where
In [34]: A.shape
Out[34]: (4764,)
In [35]: ctab = np.unique(A)
In [36]: ctab
Out[3
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