Hello everybody,
I have just upgraded my Mac laptop to snow leopard.
However, I can no more compile Numeric 24.2.
Here is my output:
[MacBook-Pro-di-Stefano:~/Pacchetti/Numeric-24.2] covino% python
setup.py build
running build
running build_py
running build_ext
building 'RNG.RNG' extension
Use Numpy instead of Numeric (no longer supported I think)?
Matthieu
2009/9/1 Stefano Covino stefano_cov...@yahoo.it:
Hello everybody,
I have just upgraded my Mac laptop to snow leopard.
However, I can no more compile Numeric 24.2.
Here is my output:
Hello,
I tried to load a ASCII table into a string array. Unfortunately, this table has
some empty chells
Here it is:
http://www.ncdc.noaa.gov/oa/climate/rcsg/cdrom/ismcs/alphanum.html
After having converted this into a text file I tried this:
$ np.genfromtxt('alphanum_to-text.txt',
On Sep 1, 2009, at 6:08 AM, Tim Michelsen wrote:
Hello,
I tried to load a ASCII table into a string array. Unfortunately,
this table has
some empty chells
Here it is:
http://www.ncdc.noaa.gov/oa/climate/rcsg/cdrom/ismcs/alphanum.html
After having converted this into a text file I
Mmh, perhaps.
Thanks for the quick reply.
I'll try to see what I can do. Usually, this message
shows up when one of the lines you have read doesn't have the same
number of columns as the others.
Could we add this error to the docstring?
As I suggested, It would be helpful to get the line
I have tried
$ awk -F '|' '{if(NF != 12) print NR;}' /tmp/pp.txt
and besides the first 23 lines and the last 3 lines of the file,
also the following have a number of '|' different from 11:
1635
2851
5538
i.e. BIKIN, BENGUERIR and TERESINA AIRPORT.
But I completely agree with you, genfromtxt could
Hi,
I know the documentation states that np.savez saves numpy arrays, so my
question relates to misusing it. Before reading the doc in detail, and after
reading about pickle and other options to make data persistent, I passed
np.savez a list of ndarrays. It didn't complain, but when I loaded
$ awk -F '|' '{if(NF != 12) print NR;}' /tmp/pp.txt
and besides the first 23 lines and the last 3 lines of the file,
also the following have a number of '|' different from 11:
1635
2851
5538
i.e. BIKIN, BENGUERIR and TERESINA AIRPORT.
Looks lika some bash magic.
I will try to translate
This conference may be of interest given the many discussions at SciPy
on python support for parallel programming:
http://www.multicore-challenge.org___
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Tue, 01 Sep 2009 12:07:36 +, jorgesmbox-ml kirjoitti:
I know the documentation states that np.savez saves numpy arrays, so my
question relates to misusing it. Before reading the doc in detail, and
after reading about pickle and other options to make data persistent, I
passed np.savez a
import sys
f = open(sys.argv[1], 'rt')
for l in f:
if len(l.split('|')) != 12:
print(l)
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But I completely agree with you, genfromtxt could print out
the line number and the actual line giving problems.
Here we go:
http://projects.scipy.org/numpy/ticket/1212
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On 09/01/2009 09:55 AM, Tim Michelsen wrote:
But I completely agree with you, genfromtxt could print out
the line number and the actual line giving problems.
Here we go:
http://projects.scipy.org/numpy/ticket/1212
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Hello,
should creating a histogram with masked data be different that one cretated with
unmasked data?
Is np.hist tuned for work with historams?
I R_project I would do:
# Note: values is my dataset
### masking zeros
values_mask=ifelse(values==0, NA, (values))
#
On Tue, Sep 1, 2009 at 11:50, Tim Michelsentimmichel...@gmx-topmail.de wrote:
Hello,
should creating a histogram with masked data be different that one cretated
with
unmasked data?
Ideally, yes. Patches are welcome. In the meantime, use the
.compressed() method on the masked array to get an
I could not find any, so I'll ask if it's ok to create one. I have a
patch for /numpy/lib/function_base.py that uses any 'select' function to
obtain the median. I'll also submit the Cython code for quickselect.
Attachment (median.py.gz) contains the suggested implementation of
median. I
On Tue, Sep 1, 2009 at 14:01, Sturla Moldenstu...@molden.no wrote:
I could not find any, so I'll ask if it's ok to create one.
It's always okay to create a ticket.
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad
On 2009-09-01, Sturla Molden stu...@molden.no wrote:
[clip]
I could not find any, so I'll ask if it's ok to create one. I have a
patch for /numpy/lib/function_base.py that uses any 'select' function to
obtain the median. I'll also submit the Cython code for quickselect.
I'd say that just go
Dag Sverre Seljebotn skrev:
Nitpick: This will fail on large arrays. I guess numpy.npy_intp is the
right type to use in this case?
Yup. You are right. Thanks.
Sturla
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Dag Sverre Seljebotn skrev:
Nitpick: This will fail on large arrays. I guess numpy.npy_intp is the
right type to use in this case?
By the way, here is a more polished version, does it look ok?
http://projects.scipy.org/numpy/attachment/ticket/1213/generate_qselect.py
Sturla Molden skrev:
By the way, here is a more polished version, does it look ok?
No it doesn't... Got to keep the GIL for the general case (sorting
object arrays). Fixing that.
SM
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On 1-Sep-09, at 4:08 AM, Stefano Covino wrote:
I have just upgraded my Mac laptop to snow leopard.
However, I can no more compile Numeric 24.2.
Do you really need Numeric? NumPy provides all of the functionality of
Numeric and then some.
David
___
On 1-Sep-09, at 9:08 AM, Pauli Virtanen wrote:
Tue, 01 Sep 2009 12:07:36 +, jorgesmbox-ml kirjoitti:
I know the documentation states that np.savez saves numpy arrays,
so my
question relates to misusing it. Before reading the doc in detail,
and
after reading about pickle and other
David Warde-Farley dwf at cs.toronto.edu writes:
If you actually want to save multiple arrays, you can use
savez('fname', *[a,b,c]) and they will be accessible under the names
arr_0, arr_1, etc. and a list of these names is in the 'files'
attribute on the NpzFile object. To retrieve your
Hi,
Upgraded to Snow Leopard, left setup.py and all environment variables
the same, tried latest numpy from source. This is the build error I
receive:
Running from numpy source directory.
non-existing path in 'numpy/distutils': 'site.cfg'
F2PY Version 2_7353
numpy/core/setup_common.py:81:
On Tue, Sep 1, 2009 at 21:35, Christopher Hanleychan...@stsci.edu wrote:
Hi,
Upgraded to Snow Leopard, left setup.py and all environment variables
the same, tried latest numpy from source. This is the build error I
receive:
C compiler: cc -fno-strict-aliasing -Wno-long-double
Robert Kern wrote:
On Tue, Sep 1, 2009 at 21:35, Christopher Hanleychan...@stsci.edu wrote:
Hi,
Upgraded to Snow Leopard, left setup.py and all environment variables
the same, tried latest numpy from source. This is the build error I
receive:
C compiler: cc
On 1-Sep-09, at 10:11 PM, Jorge Scandaliaris wrote:
David Warde-Farley dwf at cs.toronto.edu writes:
If you actually want to save multiple arrays, you can use
savez('fname', *[a,b,c]) and they will be accessible under the names
arr_0, arr_1, etc. and a list of these names is in the 'files'
On Tue, Sep 1, 2009 at 21:11, Jorge Scandaliarisjorgesmbox...@yahoo.es wrote:
David Warde-Farley dwf at cs.toronto.edu writes:
If you actually want to save multiple arrays, you can use
savez('fname', *[a,b,c]) and they will be accessible under the names
arr_0, arr_1, etc. and a list of these
David Warde-Farley dwf at cs.toronto.edu writes:
On 1-Sep-09, at 4:08 AM, Stefano Covino wrote:
I have just upgraded my Mac laptop to snow leopard.
However, I can no more compile Numeric 24.2.
Do you really need Numeric? NumPy provides all of the functionality of
Numeric and then
On Tue, Sep 1, 2009 at 23:37, Stefano Covinostefano_cov...@yahoo.it wrote:
of course you are all right. NumPy is much better. Essentially I was just
curious to understand what it is wrong given that Numeric compiled smoothly
with
the previous Mac OSX version.
The 64-bit version of OS X
The 64-bit version of OS X complies to a different UNIX standard than
the 32-bit version. gettimeofday(), which is being used to seed the
random number generator, is one of the affected functions.
Thanks. I guessed something like this.
Is there a way to constrain an old-style compilation
On Tue, Sep 1, 2009 at 23:50, Stefano Covinostefano_cov...@yahoo.it wrote:
The 64-bit version of OS X complies to a different UNIX standard than
the 32-bit version. gettimeofday(), which is being used to seed the
random number generator, is one of the affected functions.
Thanks. I guessed
Sturla Molden skrev:
http://projects.scipy.org/numpy/attachment/ticket/1213/generate_qselect.py
http://projects.scipy.org/numpy/attachment/ticket/1213/quickselect.pyx
My suggestion for a new median function is here:
http://projects.scipy.org/numpy/attachment/ticket/1213/median.py
The
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