On Sun, Oct 19, 2008 at 01:08, Nadav Horesh <[EMAIL PROTECTED]> wrote:
> I encountered an exception: "nonstandard" format like 16 bits tiff I/O works
> only via the tostring/fromstring interface.
Yup. Internally, PIL doesn't necessarily represent the data in the
same way that numpy does, so you h
I encountered an exception: "nonstandard" format like 16 bits tiff I/O works
only via the tostring/fromstring interface.
Nadav
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם Lane Brooks
נשלח: א 19-אוקטובר-08 06:45
אל: Discussion of Numerical Python
נושא: Re: [Numpy-discussion] Images and n
Robert Kern wrote:
On Sat, Oct 18, 2008 at 23:07, Lane Brooks <[EMAIL PROTECTED]> wrote:
What are the preferred ways to get images, like jpgs and pngs, from disk
into a numpy array and from a numpy array to disk?
I did some google searches and found a PEP thread where Travis was
proposing an
On Sat, Oct 18, 2008 at 23:07, Lane Brooks <[EMAIL PROTECTED]> wrote:
> What are the preferred ways to get images, like jpgs and pngs, from disk
> into a numpy array and from a numpy array to disk?
>
> I did some google searches and found a PEP thread where Travis was
> proposing an extended buffer
What are the preferred ways to get images, like jpgs and pngs, from disk
into a numpy array and from a numpy array to disk?
I did some google searches and found a PEP thread where Travis was
proposing an extended buffer protocol that would make for easier
interoperability with libraries such a
On Sat, Oct 18, 2008 at 22:00, Lane Brooks <[EMAIL PROTECTED]> wrote:
> If you want the indexes, check out the np.where command, e.g.
>
> idx = np.where(dat <= limit)
It's worth noting that where() confusingly has two modes of
functionality. This particular bit of functionality is also exposed
und
If you want the indexes, check out the np.where command, e.g.
idx = np.where(dat <= limit)
If you want the values, use:
val = dat[dat <= limit]
Lane
Michael wrote:
Hi list,
been playing around with stride_tricks and find it terrifically
productive; thankyou to everyone who has worked on th
Hi list,
been playing around with stride_tricks and find it terrifically
productive; thankyou to everyone who has worked on this.
I need to filter some data, getting the indices of all entries which are
less than or equal to 'limit'. How do i best go about that?
Can you enumerate an array us
Hello,
I'm trying to install the latest numpy using setupscons.py, but it
gives me an error that I can't track down. It's in the latest numpy
release (5946). with the latest numpyscons from the 0.9.3 branch.
Here's the last part of output:
is bootstrapping ? True
Executing scons command (pkg is
On Wed, Oct 15, 2008 at 12:56 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Wed, Oct 15, 2008 at 02:20, Geoffrey Irving <[EMAIL PROTECTED]> wrote:
>> Hello,
>>
>> Currently in numpy comparing dtypes for equality with == does an
>> internal PyArray_EquivTypes check, which means that the dtypes NPY
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