Python itself doesn't raise an exception in such cases :
(3,4) != (2, 3, 4)
True
(3,4) == (2, 3, 4)
False
Should numpy behave differently ?
Bruno.
2013/7/12 Frédéric Bastien no...@nouiz.org
I also don't like that idea, but I'm not able to come to a good reasoning
like Benjamin.
I
, wouldn't it feel more natural to write
np.equal(x, y) ?
Bruno.
2013/7/15 Nathaniel Smith n...@pobox.com
On Mon, Jul 15, 2013 at 2:09 PM, bruno Piguet bruno.pig...@gmail.com
wrote:
Python itself doesn't raise an exception in such cases :
(3,4) != (2, 3, 4)
True
(3,4) == (2, 3, 4
of ==, is it useful to have equivalent
function the other comparison? Do they already exist.
thanks
Fred
On Mon, Jul 15, 2013 at 10:20 AM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Jul 15, 2013 at 2:09 PM, bruno Piguet bruno.pig...@gmail.com
wrote:
Python itself doesn't raise an exception
Hi all,
I've got some code which basically does :
f = open (path, 'rb')
header = f.read (some_length)
data = np.fromfile (f, dtype= some_type, count=-1)
In order to process compressed files, I switched the open sequence to :
if (plain):
f = open (path, 'rb')
else:
f
2010/7/26 bruno Piguet bruno.pig...@gmail.com
- I'm thinking of using something like np.array(f.read(),
dtype=some_type).
Actually :
data=np.fromstring(f.read(), dtype=some_type, count=-1)
Bruno.
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2009/6/9 Charles R Harris charlesr.har...@gmail.com
Well, in this case you can use complex multiplication and either work with
just the x,y components or use two complex components, i.e., [x + 1j*y, z].
In the first case you can then do the rotation as V*exp(1j*phi).
In the real case, it's
Dear all,
Can someone point me to a doc on dot product vectorisation ?
Here is what I try to do :
I've got a rotation function which looks like :
def rotat_scal(phi, V):
s = math.sin(phi)
c = math.cos(phi)
M = np.zeros((3, 3))
M[2, 2] = M[1, 1] = c
M[1, 2] = -s
M[2,
Hello,
I'm new to numpy, and considering using loadtxt() to read a data file.
As a starter, I tried the example of the doc page (
http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html) :
from StringIO import StringIO # StringIO behaves like a file object
c = StringIO(0
