I've opened a PR at https://github.com/numpy/numpy/pull/296 for discussion.
A typical result
np.zeros((3,3))[[1,2,3]]
Traceback (most recent call last):
File stdin, line 1, in module
IndexError: index 3 is out of bounds for axis 0: [-3,3)
Ray Jones
Hi,
I just noticed that there's a PPA for NumPy/SciPy on Launchpad:
https://launchpad.net/~scipy/+archive/ppa
However, it's painfully outdated. Does anyone know of its status? Is it
'official'? Are there any plans in revitalizing it, possibly with adding
other projects from the scipy
On 7. juni 2012, at 10:30, Thouis (Ray) Jones wrote:
I've opened a PR at https://github.com/numpy/numpy/pull/296 for discussion.
A typical result
np.zeros((3,3))[[1,2,3]]
Traceback (most recent call last):
File stdin, line 1, in module
IndexError: index 3 is out of bounds for axis 0:
On Thu, Jun 7, 2012 at 11:44 AM, Dave Hirschfeld
dave.hirschf...@gmail.com wrote:
Paul Anton Letnes paul.anton.letnes at gmail.com writes:
I would prefer:
IndexError: index 3 is out of bounds for axis 0: [-3,2]
as I find the 3) notation a bit weird - after all, indices are not floats, so
Hi,
I just noticed that there's a PPA for NumPy/SciPy on Launchpad:
https://launchpad.net/~scipy/+archive/ppahttps://launchpad.net/%7Escipy/+archive/ppa
However, it's painfully outdated. Does anyone know of its status? Is it
'official'? Are there any plans in revitalizing it, possibly
Hi everyone,
I am making a program to realize some live data analysis. I progressively
take the data, and write them in a file as a single column.
If i take 2D data, this would give:
data=
X Y Z
0 0 1
1 0 2
2 0 3
0 1 1
1 1 2
2 1 3
0 2 1
1 2 1
2 2 1
To plot these data, i need first to reshape the
In [3]: u = np.arange(10)
In [4]: u
Out[4]: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
In [5]: u[-2:]
Out[5]: array([8, 9])
In [6]: u[-2:2]
Out[6]: array([], dtype=int64)
I would argue for consistency it would be desirable for this to return
[8, 9, 0, 1]
On Thu, Jun 7, 2012 at 7:55 PM, Neal Becker ndbeck...@gmail.com wrote:
In [3]: u = np.arange(10)
In [4]: u
Out[4]: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
In [5]: u[-2:]
Out[5]: array([8, 9])
In [6]: u[-2:2]
Out[6]: array([], dtype=int64)
I would argue for consistency it would be
On Thu, Jun 7, 2012 at 1:33 PM, Andreas Hilboll li...@hilboll.de wrote:
Hi,
I just noticed that there's a PPA for NumPy/SciPy on Launchpad:
https://launchpad.net/~scipy/+archive/ppahttps://launchpad.net/%7Escipy/+archive/ppa
https://launchpad.net/%7Escipy/+archive/ppa
However,
