On Thu, Feb 26, 2009 at 4:32 PM, Charles R Harris
wrote:
> Sounds good, I don't think the complex functions are a pressing concern. But
> I suspect we should start looking forward to a code freeze in a month or so
> and getting the build working is a clear priority.
The build is working more or
On Thu, Feb 26, 2009 at 1:23 AM, David Cournapeau wrote:
> On Thu, Feb 26, 2009 at 4:32 PM, Charles R Harris
> wrote:
>
> > Sounds good, I don't think the complex functions are a pressing concern.
> But
> > I suspect we should start looking forward to a code freeze in a month or
> so
> > and gett
Charles R Harris wrote:
>
>
>
> Yes, I was thinking about that too. There was a 1.3 thread a couple of
> weeks ago, we should summarize it, and set a timeline for 1.3 really
> soon. I can do it, unless you want do it it,
>
>
> Why don't you make a start.
Ok,
David
Hi,
I've just merged the work on the coremath branch into the trunk. Let
me know if you see some problems - I did a quick sanity check on Linux
after the merge, but I have not tested across many platforms,
cheers,
David
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Numpy-discussion mailing
On Thu, Feb 26, 2009 at 5:29 AM, David Cournapeau <
da...@ar.media.kyoto-u.ac.jp> wrote:
> Hi,
>
>I've just merged the work on the coremath branch into the trunk. Let
> me know if you see some problems - I did a quick sanity check on Linux
> after the merge, but I have not tested across many p
On Tue, Feb 17, 2009 at 12:37 PM, David Cournapeau wrote:
> Also, some configuration tests need to be executed on the target
> machine: this needs to be fixed.
Ok, that one at least is fixed. Now, the numpy configuration stage
does not need to execute anything on the target platform. All the
tes
intersect1d and setmember1d doesn't give expected results in case there are
duplicate values in either array becuase it works by sorting data and
substracting previous value. Is there an alternative in numpy to get indices of
intersected values.
In [31]: p nonzero(setmember1d(v1.Id, v2.Id))[0]
Hi,
> intersect1d and setmember1d doesn't give expected results in case
> there are duplicate values in either array becuase it works by
> sorting data and substracting previous value. Is there an
> alternative in numpy to get indices of intersected values.
From the docstring for setmember
Hi,
I'm trying to get into the realm of implementing my own numpy data
types in numpy, and doing so I had a look at the floatint.c example
coming from the numpy/doc/newdtype_example directory.
Obviously it is not possible to create an array with the new floatint
type by doing
array([1,2,3,4,5,6,
Ravi wrote:
> Use ix_:
>
> In [5]: a[ ix_(i,j) ]
> Out[5]:
> array([[ 5, 7],
>[13, 15],
>[17, 19]])
Very nice!
thanks,
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/OR&R(206) 526-6959 voice
7600 Sand Point Way NE (20
I want to do:
numpy.float(numpy.arange(0, 10))
but get the error:
Traceback (most recent call last):
File "", line 1, in
TypeError: only length-1 arrays can be converted to Python scalars
How should I do this?
-gideon
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Numpy-discussion mailin
On Thu, Feb 26, 2009 at 05:53:28PM -0500, Gideon Simpson wrote:
> I want to do:
> numpy.float(numpy.arange(0, 10))
> but get the error:
> Traceback (most recent call last):
>File "", line 1, in
> TypeError: only length-1 arrays can be converted to Python scalars
> How should I do this?
nu
A colleague of mine has a bunch of numpy arrays saved with np.save and
he now wants to access them directly in C, with or w/o the numpy C API
doesn't matter. Does anyone have any sample code lying around which
he can borrow from? The array is a structured array with an otherwise
plain vanilla dty
On Thu, Feb 26, 2009 at 17:05, John Hunter wrote:
> A colleague of mine has a bunch of numpy arrays saved with np.save and
> he now wants to access them directly in C, with or w/o the numpy C API
> doesn't matter. Does anyone have any sample code lying around which
> he can borrow from? The arra
Gael Varoquaux wrote:
> nump.arange(0, 10.astype(numpy.float)
I think you meant:
np.arange(0, 10).astype(np.float)
but:
np.arange(0, 10, dtype=np.float)
is a better bet.
> but in this special case you can do:
>
> numpy.arange(0., 10.)
yup -- however, beware, using arange() with floating poi
Gideon Simpson wrote:
> I want to do:
>
> numpy.float(numpy.arange(0, 10))
>
> but get the error:
>
> Traceback (most recent call last):
>File "", line 1, in
> TypeError: only length-1 arrays can be converted to Python scalars
>
> How should I do this?
numpy.arange(0,10, dtype=float)
or
n
Am I right to assume that there is no way elegant way to interact with
slices. i.e. Is there anyway to get
a[ix_([2,3,6],:,[3,2])]
to work? So that the dimension is completely specified? Or perhaps
the only way to do this is via
a[ix_([2,3,6],range(a.shape[1]),[3,2])]
If anyone knows a bette
I have geotiff files of scanned paper maps that use an indexed color scheme
with a 256-element
color lookup table (color lut) and a 9252 by 7420 array of uint8 elements.
The color is given by
three values. I want to create an array with shape: (9252, 7420, 3) so that
I can display the
image
On Thu, Feb 26, 2009 at 23:27, Delbert Franz wrote:
>
> I have geotiff files of scanned paper maps that use an indexed color scheme
> with a 256-element
> color lookup table (color lut) and a 9252 by 7420 array of uint8 elements.
> The color is given by
> three values. I want to create an array
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