On Tue, Nov 17, 2009 at 20:48, James Bergstra wrote:
> Is it by design that "numpy.sqrt(None)" raises an "AttributeError: sqrt"?
Yes. numpy.sqrt() is a ufunc. Ufuncs take their arguments and try to
convert them to numpy arrays; the manual equivalent is
numpy.asarray(None). In this case, you get
Is it by design that "numpy.sqrt(None)" raises an "AttributeError: sqrt"?
This was confusing because there was an attribute lookup of 'sqrt' in
numpy right there in the expression I typed, but that was not the
attribute that python was complaining about. I presume that numpy.sqrt
didn't know wha
already done in r7743 :) Did you report it as a bug on trac, so that
I close it as well,
David
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On Nov 17, 2009, at 12:33 PM, Sebastian Haase wrote:
On Tue, Nov 17, 2009 at 5:40 PM, wrote:
On Tue, Nov 17, 2009 at 11:24 AM, Jean-Baptiste Rudant
wrote:
Hello,
I think there's something strange with shape when a slice is given
by an
array.
import numpy as N
my_array = N.ones((2, 3, 6)
On Tue, Nov 17, 2009 at 12:33, Sebastian Haase wrote:
> On Tue, Nov 17, 2009 at 5:40 PM, wrote:
>> On Tue, Nov 17, 2009 at 11:24 AM, Jean-Baptiste Rudant
>> wrote:
>>> Hello,
>>> I think there's something strange with shape when a slice is given by an
>>> array.
>>> import numpy as N
>>> my_arr
On Tue, Nov 17, 2009 at 5:40 PM, wrote:
> On Tue, Nov 17, 2009 at 11:24 AM, Jean-Baptiste Rudant
> wrote:
>> Hello,
>> I think there's something strange with shape when a slice is given by an
>> array.
>> import numpy as N
>> my_array = N.ones((2, 3, 6))
>> ind = N.arange(4)
>> #you hope to find
On Tue, Nov 17, 2009 at 12:13 AM, Ian Mallett wrote:
> Theory wise:
> -Do a linear regression on your data.
> -Apply a logrithmic transform to your data's dependent variable, and do
> another linear regression.
> -Apply a logrithmic transform to your data's independent variable, and do
> another
On Tue, Nov 17, 2009 at 11:16, Darren Dale wrote:
> Please consider applying this patch before freezing, or you can't do
> "python setup.py develop" with Distribute (at least not with
> Enthought's Enable):
It's just a temporary complete freeze while David branches 1.4 off the
trunk and then just
Please consider applying this patch before freezing, or you can't do
"python setup.py develop" with Distribute (at least not with
Enthought's Enable):
ndex: numpy/distutils/command/build_ext.py
===
--- numpy/distutils/command/build_ex
On Tue, Nov 17, 2009 at 11:24 AM, Jean-Baptiste Rudant
wrote:
> Hello,
> I think there's something strange with shape when a slice is given by an
> array.
> import numpy as N
> my_array = N.ones((2, 3, 6))
> ind = N.arange(4)
> #you hope to find (3, 4)
> print my_array[0, :, ind].shape
> print my_
Hello,
I think there's something strange with shape when a slice is given by an array.
import numpy as N
my_array = N.ones((2, 3, 6))
ind = N.arange(4)
#you hope to find (3, 4)
print my_array[0, :, ind].shape
print my_array[0, :, 0:4].shape
print my_array[0][:, ind].shape
print my_array[0][:, 0:
On Mon, Nov 16, 2009 at 10:52 PM, David Cournapeau wrote:
> On Tue, Nov 17, 2009 at 3:33 AM, wrote:
>
>>
>> Now, the numpy build runs for a while then breaks while building umath.
>>
>> Any ideas?
>
> The behavior of distutils with config files is mysterious, I gave up
> trying to understand it
Alan McIntyre gmail.com> writes:
>
> On Mon, Nov 16, 2009 at 11:34 PM, "V. Armando Solé" esrf.fr> wrote:
> > Sebastian Berg wrote:
> >> Known issue, I think someone posted about it a while ago too. The numpy
> >> min is array aware, and it expects an array. The second argument is the
> >> axis,
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