Hey Alex. Thanks. I was aware of that. However, I was simply doing `run
myscript.py` on the first input line of the Ipython shell, so I did not
expect this behaviour.
The ipython list would be a better place to ask I guess, since the
behaviour on numpy's part is to be expected. Just wondering if a
On Wed, Apr 27, 2016 at 8:49 PM, Alexander Griffing
wrote:
> On Wed, Apr 27, 2016 at 7:48 PM, Elliot Hallmark
> wrote:
> > Hello,
> >
> > I haven't worked hard yet to create a minimal runnable (reproduce-able)
> > example but I wanted to check if this sounds familiar to anyone.
> >
> > I have a
On Wed, Apr 27, 2016 at 7:48 PM, Elliot Hallmark wrote:
> Hello,
>
> I haven't worked hard yet to create a minimal runnable (reproduce-able)
> example but I wanted to check if this sounds familiar to anyone.
>
> I have a pretty involved program that resizes arrays in place with
> arr.resize. When
Hello,
I haven't worked hard yet to create a minimal runnable (reproduce-able)
example but I wanted to check if this sounds familiar to anyone.
I have a pretty involved program that resizes arrays in place with
arr.resize. When I run it with python it completes and gives the expected
result. Wh
Hi,
Looks like I was a little confused. It appears that the nan* versions of
functions in numpy just substitute the NaNs in a copy of the original array
and so are just convenience methods. I was imagining that they were
optimized and handling the NaNs at a lower level. It looks like the
"bottl
On Mi, 2016-04-27 at 22:11 +0530, Saumyajit Dey wrote:
> Hi,
>
> Thanks a lot for the reply. I am looking into the documentation
> already. Also is there any guide as to how the source code of Numpy
> is organised?
>
> For example, when i write
>
> > np.power(2,3)
> what is the workflow in ter
Hi,
Thanks a lot for the reply. I am looking into the documentation already.
Also is there any guide as to how the source code of Numpy is organised?
For example, when i write
np.power(2,3)
what is the workflow in terms of functions in different modules being
called?
Regards,
Saumyajit
S
Hello, what's the current status on numpy for loading bit-arrays ?
I'm currently unable to correctly load black and white (1-bit) TIFF
images. Code example follows:
from PIL import Image
import numpy
from matplotlib import pyplot
img = Image.open('oi-00.tiff')
a = numpy.array(img)
^ does not w
Hi,
Welcome! It would be a good exercise to look at the documentation and
tutorial for Numpy at http://docs.scipy.org/doc/
Also the lectures at the lectures at www.scipy-lectures.org might be a
interesting introduction to scientific python in numpy stack.
Hope it helps.
Happy learning !
Cheers
