You should be allowed to remove anything in /usr/local without fear to
kill your operation system.
In case you miss python2.5 afterwards, you should be able to just
install it with apt-get install python2.5 at any time - it would go to
/usr/lib + /usr/bin + ... NOT /usr/local.
It is unlikely
Wed, 28 Jul 2010 12:17:27 +0900, David Cournapeau wrote:
[clip]
http://github.com/numpy/numpy_svn
I put a new repostory (same location)
Some more notes:
- 1.1.x branch is missing.
This is maybe because in SVN something ugly was done with this branch?
- Something is still funny with some
Wed, 28 Jul 2010 12:17:27 +0900, David Cournapeau wrote:
[clip]
http://github.com/numpy/numpy_svn
I put a new repostory (same location)
Compared this against git-svn produced repository. There are a number of
commits missing from the early history, apparently because numpy trunk
was moved
On 07/28/2010 05:45 PM, Pauli Virtanen wrote:
Wed, 28 Jul 2010 12:17:27 +0900, David Cournapeau wrote:
[clip]
http://github.com/numpy/numpy_svn
I put a new repostory (same location)
Some more notes:
- 1.1.x branch is missing.
This is maybe because in SVN something ugly was done with
Hello list,
I don't understand why ceil and floor return real values, while the doc
string says:
The ceil of the scalar `x` is the smallest integer `i`
Wouldn't an integer make more sense?
Numpy version 1.3.0.
Thanks,
Mark
___
NumPy-Discussion
I have a rec array and I want to add an additional column.
I've seen at least two solutions to this problem:
mlab.rec_append_fields (matplotlib)
And append_field from
http://mail.scipy.org/pipermail/numpy-discussion/2007-September/029357.html
In [19]: def append_field(rec, name, arr,
Wed, 28 Jul 2010 08:43:25 -0400, wheres pythonmonks wrote:
[clip]
Is there a best solution? I don't like the matplotlib solution b/c of
the dll-hell anti-pattern. But the pure numpy solution looks like it
has too many copies.
You cannot avoid making copies, since adding a new field changes
On Wed, Jul 28, 2010 at 2:26 PM, Mark Bakker mark...@gmail.com wrote:
Hello list,
I don't understand why ceil and floor return real values, while the doc
string says:
The ceil of the scalar `x` is the smallest integer `i`
Wouldn't an integer make more sense?
Numpy version 1.3.0.
On 7/28/2010 8:26 AM, Mark Bakker wrote:
I don't understand why ceil and floor return real values
The same for ``round``.
(Note that Python 3 rounds to int.)
Furthermore, it would be nice if each took a ``dtype`` argument.
Alan Isaac
___
Wed, 28 Jul 2010 14:26:36 +0200, Mark Bakker wrote:
I don't understand why ceil and floor return real values, while the doc
string says:
The ceil of the scalar `x` is the smallest integer `i`
Wouldn't an integer make more sense?
Which integer? Only arbitrary-size integers (Python longs)
On Wed, Jul 28, 2010 at 7:43 AM, wheres pythonmonks
wherespythonmo...@gmail.com wrote:
I have a rec array and I want to add an additional column.
I've seen at least two solutions to this problem:
mlab.rec_append_fields (matplotlib)
And append_field from
it seems like pytable only support HDF5. I had some 500GB numerical arrays
to process. Pytable claims to have some advance feature to enhance
processing speed and largely reduce physical memory requirement. However, I
do not wanna touch the raw data I had. Simply because I do not have doubled
2010/7/28 脑关生命科学仪器 braingate...@gmail.com:
it seems like pytable only support HDF5. I had some 500GB numerical arrays
to process. Pytable claims to have some advance feature to enhance
processing speed and largely reduce physical memory requirement. However, I
do not wanna touch the raw data I
A Wednesday 28 July 2010 18:05:11 脑关(BrainGateway)生命科学仪器 escrigué:
it seems like pytable only support HDF5. I had some 500GB numerical arrays
to process. Pytable claims to have some advance feature to enhance
processing speed and largely reduce physical memory requirement. However, I
do not
Wed, 28 Jul 2010 14:26:36 +0200, Mark Bakker wrote:
I don't understand why ceil and floor return real values [snip]
Wouldn't an integer make more sense?
On 7/28/2010 9:39 AM, Pauli Virtanen wrote:
Which integer? Only arbitrary-size integers (Python longs) are able to
span the whole
Thank you -- just what I was looking for.
On Wed, Jul 28, 2010 at 11:39 AM, Benjamin Root ben.r...@ou.edu wrote:
On Wed, Jul 28, 2010 at 7:43 AM, wheres pythonmonks
wherespythonmo...@gmail.com wrote:
I have a rec array and I want to add an additional column.
I've seen at least two
On Wed, Jul 28, 2010 at 11:48, Alan G Isaac ais...@american.edu wrote:
Wed, 28 Jul 2010 14:26:36 +0200, Mark Bakker wrote:
I don't understand why ceil and floor return real values [snip]
Wouldn't an integer make more sense?
On 7/28/2010 9:39 AM, Pauli Virtanen wrote:
Which integer? Only
Thanks, I did almost the same yesterday and now everything works fine.
On Wed, Jul 28, 2010 at 4:29 AM, Sebastian Haase seb.ha...@gmail.comwrote:
You should be allowed to remove anything in /usr/local without fear to
kill your operation system.
In case you miss python2.5 afterwards, you
On Tue, Jul 27, 2010 at 7:42 AM, Sebastian Haase seb.ha...@gmail.com wrote:
The origin of this problem is the fact that Python supports (at least)
2 types of Unicode:
2 bytes and/or 4 bytes per character.
It only supports those two, and that's purely an internal
implementation detail. Python
Francesc Alted wrote:
A Wednesday 28 July 2010 18:05:11 脑关(BrainGateway)生命科学仪器 escrigué:
I had some 500GB numerical arrays
to process. Pytable claims to have some advance feature to enhance
processing speed and largely reduce physical memory requirement. However, I
do not wanna touch the raw
2010/7/28 脑关生命科学仪器 braingate...@gmail.com:
it seems like pytable only support HDF5. I had some 500GB numerical arrays
to process. Pytable claims to have some advance feature to enhance
processing speed and largely reduce physical memory requirement. However, I
do not wanna touch the raw data I
2010/7/28 Ken Watford kwatford+sc...@gmail.com:
2010/7/28 脑关生命科学仪器 braingate...@gmail.com:
it seems like pytable only support HDF5. I had some 500GB numerical arrays
to process. Pytable claims to have some advance feature to enhance
processing speed and largely reduce physical memory
Mon, 26 Jul 2010 23:58:11 +0800, Ralf Gommers wrote:
[clip]
If you have urgent tickets, please let's hear those as well. My small
laundry list is pasted below.
Was something done to the Gaussian random generator?
Is the current algorithm in the trunk the ziggurat one, or the previous
one?
On Wed, Jul 28, 2010 at 16:21, Pauli Virtanen p...@iki.fi wrote:
Mon, 26 Jul 2010 23:58:11 +0800, Ralf Gommers wrote:
[clip]
If you have urgent tickets, please let's hear those as well. My small
laundry list is pasted below.
Was something done to the Gaussian random generator?
Is the
On Jul 26, 2010, at 11:58 AM, Pierre GM wrote:
All,
I'm teaching myself how to subclass ndarrays in C (not in Cython, just plain
C). It's slowly coming together, but I'm now running into a problem: I need
to overwrite __getitem__ and I'm not sure how to do it. I was thinking about
using
Wed, 28 Jul 2010 14:26:36 +0200, Mark Bakker wrote:
I don't understand why ceil and floor return real values [snip]
Wouldn't an integer make more sense?
On 7/28/2010 9:39 AM, Pauli Virtanen wrote:
Which integer? Only arbitrary-size integers (Python longs) are able to
span the whole
Thu, 29 Jul 2010 01:16:14 +0200, Sturla Molden wrote:
[clip]
Makes sense. But couldn't a ``dtype`` argument still be useful?
np.ceil(some_array).astype(int)
That's one temporary more. The dtype= argument for all ufuncs wouldn't
probably hurt too much.
--
Pauli Virtanen
Mon, 26 Jul 2010 23:58:11 +0800, Ralf Gommers wrote:
Is the current algorithm in the trunk the ziggurat one, or the previous
one? IIRC, the problem was that the ziggurat broke reproducibility of
random numbers with a given seed.
Ziggurat (in Enthought) did not break reproducibility but
On Jul 28, 2010, at 7:52 PM, Pauli Virtanen wrote:
Wed, 28 Jul 2010 18:43:30 -0400, Pierre GM wrote:
[clip]
Mmh. I did create a PyMappingMethod structure called MyArray_as_mapping,
and MyArray_as_mapping.mp_subscript points to the function that I want
to use. However, I'd like the
On Wed, Jul 28, 2010 at 12:36 AM, Sandro Tosi mo...@debian.org wrote:
On Tue, Jul 27, 2010 at 14:52, Sandro Tosi mo...@debian.org wrote:
Hi,
On Tue, Jul 27, 2010 at 12:28, David Cournapeau courn...@gmail.com wrote:
On Tue, Jul 20, 2010 at 3:44 AM, Sandro Tosi mo...@debian.org wrote:
ah if
Hi,
Please forgive me if this is obvious, but this surprised me:
In [15]: x = np.array(['a', 'b'])
In [16]: x == 'a' # this was what I expected
Out[16]: array([ True, False], dtype=bool)
In [17]: x == 1 # this was strange to me
Out[17]: False
Is it easy to explain why this is?
Thanks a lot,
I think this is just Python behavior; comparing python ints and strs also
gives False:
In [45]: 8 == 'L'
Out[45]: False
On Wed, Jul 28, 2010 at 6:42 PM, Matthew Brett matthew.br...@gmail.comwrote:
Hi,
Please forgive me if this is obvious, but this surprised me:
In [15]: x = np.array(['a',
In [15]: x = np.array(['a', 'b'])
In [16]: x == 'a' # this was what I expected
Out[16]: array([ True, False], dtype=bool)
In [17]: x == 1 # this was strange to me
Out[17]: False
Is it easy to explain why this is?
I'll call this a bug in NumPy's broadcasting. x == 1 should have
I'll call this a bug in NumPy's broadcasting. x == 1 should have
returned:
This is probably related:
In [22]: a = np.array(['a','b'])
In [23]: a + 'c'
---
TypeError Traceback (most recent
I'll call this a bug in NumPy's broadcasting. x == 1 should have
returned:
This is probably related:
In [22]: a = np.array(['a','b'])
In [23]: a + 'c'
---
TypeError Traceback (most
On Wed, Jul 28, 2010 at 12:36 PM, Fernando Perez fperez@gmail.com wrote:
The official Python 2.x unicode story is well explained here:
http://docs.python.org/howto/unicode.html
and here is the corresponding document for 3.x:
http://docs.python.org/release/3.1.2/howto/unicode.html
Just in
All,
I'm trying to write numpy arrays as binary data, to support a legacy
file format. So I open a file and write to it:
fp = open('somefile','w')
...
oldpos = fp.tell()
somenumpyarray.tofile(fp)
newpos = fp.tell()
diff = newpos - oldpos - somenumpyarray.nbytes
if diff != 0:
print 'ahhah!
Paul Probert wrote:
I'm trying to write numpy arrays as binary data, to support a legacy
file format. So I open a file and write to it:
fp = open('somefile','w')
...
oldpos = fp.tell()
somenumpyarray.tofile(fp)
newpos = fp.tell()
diff = newpos - oldpos - somenumpyarray.nbytes
if
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