.
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David Huard, PhD
Conseiller scientifique, Ouranos
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Hi John,
Since you have a regular grid, you should be able to find the x and y
indices without np.where, ie something like
I = (lon-grid.outlon0 / grid.dx).astype(int)
J = (lat-grid.outlat0 / grid.dy).astype(int)
for i, j, e in zip(I, J, emissions):
Z[i,j] += e
David
On Mon, Jan 24, 2011
Have you tried
http://code.google.com/p/python-fortranformat/
It's not officially released yet but it's probably worth a try.
David H.
On Tue, Sep 21, 2010 at 8:25 AM, Andrew Jaffe a.h.ja...@gmail.com wrote:
Hi all,
I've got an ascii file with a relatively complicated structure,
On Tue, Aug 31, 2010 at 7:02 AM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Tue, Aug 31, 2010 at 3:44 AM, David Huard david.hu...@gmail.comwrote:
I just added a warning alerting concerned users (r8674), so this takes
care of the bug fix and Nils wish to avoid a silent change
...@gmail.com
? ?wrote:
? ? ?On Fri, Aug 27, 2010 at 15:32, David Huard
david.hu...@gmail.com
? ? ?wrote:
? ? ? Nils and Joseph,
? ? ? Thanks for the bug report, this is now fixed in SVN (r8672).
? ? ?While we're at it, can we change the name of the argument?
normed
? ? ?has caused so
1.5 release.
David H.
On Mon, Aug 30, 2010 at 11:50 AM, josef.p...@gmail.com wrote:
On Mon, Aug 30, 2010 at 11:39 AM, Bruce Southey bsout...@gmail.com
wrote:
On 08/30/2010 09:19 AM, Benjamin Root wrote:
On Mon, Aug 30, 2010 at 8:29 AM, David Huard david.hu...@gmail.com
wrote:
Thanks
:19 AM, Benjamin Root wrote:
On Mon, Aug 30, 2010 at 8:29 AM, David Huard david.hu...@gmail.com
wrote:
Thanks for the feedback,
As far as I understand it, the proposition is to keep histogram as it
is
for 1.5, then in 2.0, deprecate normed=True but keep the buggy
behavior
Nils and Joseph,
Thanks for the bug report, this is now fixed in SVN (r8672).
Ralph. is this something that you want to see backported in 1.5 ?
Regards,
David
On Fri, Aug 6, 2010 at 7:49 PM, josef.p...@gmail.com wrote:
On Fri, Aug 6, 2010 at 4:53 PM, Nils Becker n.bec...@amolf.nl wrote:
to be able to reduce the angle
thread under 5° which triggers around 1000 files to produce.For a 3Mb
original sound file, it becomes huge.
Indeed ! I'll be curious to see what solutions ends up working best. Keep
us posted.
David
Thanks
Arthur
2010/6/3 David Huard david.hu...@gmail.com
Hi
Hi Arthur,
I've no experience whatsoever with what you are doing, but my first thought
was why don't you compute all possible versions beforehand and then
progressively switch from one version to another by interpolation between
the different versions. If the resolution is 15 degrees, there
And in 2.0.0.dev8437.
More hints:
Assume has shape (N, Da) and b has shape (N, Db)
* There is a problem wben N = 1, Db=1 and Da 1.
* There is no problem when N = 1, Da=1 and Db 1.
* The first row is OK, but for all others, there is one error per row,
appearing in first column, then
Hi Matt,
I don't think the memmap code support this. However, you can stack memmaps
just as easily as arrays, so if you define individual memmaps for each slice
and stack them (numpy.vstack), the resulting array will behave as a regular
3D array.
HTH,
David H.
On Wed, Apr 21, 2010 at 3:41
/polar_stereo/tools.html
The first 300 bytes contain the header. The data is stored as 1 byte integers.
The number of columns is stored in the header[6:11] and the number of rows in header[12:17]
:author: David Huard david.hu...@gmail.com
:date: September 2009
Notes
=
ltln_25n.msk
In the list of things to do, I suggest deleting completely the old
histogram behaviour and the `new` keyword.
The `new` keyword argument has raised a deprecation warning since 1.3
and was set for removal in 1.4.
David H.
On Mon, Feb 15, 2010 at 9:21 AM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Feb 2, 2010 at 9:23 PM, Neil Martinsen-Burrell n...@wartburg.edu
wrote:
On 2010-02-02 19:53 , David Cournapeau wrote:
Travis Oliphant wrote:
I think we just signal the breakage in 1.4.1 and move forward. The
datetime is useful as a place-holder for data. Math on date-time arrays
Hi,
I have a 4D array with a given shape, but the array is never
actually created since it is large and distributed over multiple
binary files. Typical usage would be to take slices across the 4D
array.
I'd like to know what the shape of the resulting array would be if I
took a slice out of it.
On Fri, Jan 29, 2010 at 12:10 PM, josef.p...@gmail.com wrote:
On Fri, Jan 29, 2010 at 11:49 AM, David Huard david.hu...@gmail.com wrote:
Hi,
I have a 4D array with a given shape, but the array is never
actually created since it is large and distributed over multiple
binary files. Typical
I'm a heavy user of scikits.timeseries so I am very interested in
having native datetime objects in Numpy. However, when I did play with
it about a week ago. I found inconsistencies between the actual code
and the NEP. The Example of use section mostly doesn't work. I
understand the need to put
For the record, here is what I came up with.
import numpy as np
def expand_ellipsis(index, ndim):
Replace the ellipsis, real or implied, of an index expression by slices.
Parameters
--
index : tuple
Indexing expression.
ndim : int
Number of dimensions of
to bring this so late in the release cycle.
Cheers,
David Huard
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On Mon, Sep 28, 2009 at 8:45 PM, jah jah.mailingl...@gmail.com wrote:
On Mon, Sep 28, 2009 at 4:48 PM, josef.p...@gmail.com wrote:
On Mon, Sep 28, 2009 at 7:19 PM, jah jah.mailingl...@gmail.com wrote:
Hi,
Suppose I have a set of x,y,c data (something useful for
matplotlib.pyplot.plot()
Hi George,
On Fri, Sep 25, 2009 at 6:55 AM, George Nurser gnur...@googlemail.comwrote:
Hi,
I hope this is the right place to ask this.
I've found the MFDataset works well in reading NetCDF3 files, but it
appears that it doesn't work at present for NetCDF4 files.
It works on my side for
Hi,
Has someone written a fortran reader for the npy binary files numpy.save
creates ?
Thanks,
David
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On Wed, Aug 12, 2009 at 3:12 AM, Danny Handoko danny.hand...@asml.comwrote:
Dear all,
We try to use numpy.histogram with combination of matplotlib. We are using
numpy 1.3.0, but a somewhat older matplotlib version of 0.91.2.
Matplotlib's axes.hist() function calls the numpy.histogram,
Hi all,
A user on the pymc user list has reported a problem with f2py wrapped
fortran functions compiled with gfortran 4.3, which is the standard Ubuntu
Jaunty fortran compiler. I noticed the same bug in some of my own routines.
The problem, as far as I can understand, is that vectorize tries to
Pauli and David,
Can this indexing syntax do things that are otherwise awkward with the
current syntax ? Otherwise, I'm not warm to the idea of making indexing more
complex than it is.
getv : this is useful but it feels a bit redundant with numpy.take. Is there
a reason why take could not
to the numpy namespace.
David
On Fri, May 15, 2009 at 4:47 PM, josef.p...@gmail.com wrote:
On Fri, May 15, 2009 at 4:09 PM, David Huard david.hu...@gmail.com
wrote:
Pauli and David,
Can this indexing syntax do things that are otherwise awkward with the
current syntax ? Otherwise, I'm not warm
Hi Mathew,
You could use Newton's method to optimize for each vi sequentially. If you
have an expression for the jacobian, it's even better.
What I'd do is write a class with a method f(self, x, y) that records the
result of f(x,y) each time it is called. I would then sample very coarsely
the
On Mon, May 4, 2009 at 4:18 PM, josef.p...@gmail.com wrote:
On Mon, May 4, 2009 at 4:00 PM, Chris Colbert sccolb...@gmail.com wrote:
i'll take a look at them over the next few days and see what i can hack
out.
Chris
On Mon, May 4, 2009 at 3:18 PM, David Huard david.hu...@gmail.com
On Mon, May 4, 2009 at 7:00 AM, josef.p...@gmail.com wrote:
On Mon, May 4, 2009 at 12:31 AM, Chris Colbert sccolb...@gmail.com
wrote:
this actually sort of worked. Thanks for putting me on the right track.
Here is what I ended up with.
this is what I ended up with:
def
Stefan,
The SciPy site is really nice, but the NumPy site returns a Page Load Error.
David
On Mon, Mar 9, 2009 at 3:35 AM, Stéfan van der Walt ste...@sun.ac.zawrote:
Hi all,
Here is an outline of recent changes made to the Trac system.
I have modified the ticket workflow on
On Tue, Mar 10, 2009 at 9:44 AM, Stéfan van der Walt ste...@sun.ac.zawrote:
Hi David
2009/3/10 David Huard david.hu...@gmail.com:
Stefan,
The SciPy site is really nice, but the NumPy site returns a Page Load
Error.
Which page are you referring to?
http://projects.scipy.org/numpy
Plain old firefox 3.0.6 on fedora 9.
On Tue, Mar 10, 2009 at 4:11 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Mar 10, 2009 at 2:07 PM, Stéfan van der Walt ste...@sun.ac.zawrote:
2009/3/10 David Huard david.hu...@gmail.com:
but, if I try to login, I get the same error
Nathan,
First of all, thanks to all your work on the sparse linear algebra package,
I am starting to use it and it's much appreciated.
Just a thought: wouldn't it be more natural to write gmres as a class rather
than a function ? That way, accessing the internal work arrays for reuse
would be
a DeprecationWarning. Users relying on the old
behaviour are encouraged to switch to the new semantics.
new=True warns users that the `new` keyword will disappear in 1.4
Regards,
David Huard
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On Wed, Nov 12, 2008 at 1:27 PM, Mike Ressler [EMAIL PROTECTED]wrote:
On Wed, Nov 12, 2008 at 4:30 AM, Scott Sinclair [EMAIL PROTECTED]
wrote:
Mike Ressler [EMAIL PROTECTED] 11/12/08 1:19 AM
I did an update to a Fedora 9 workstation yesterday that included
updating numpy to 1.2.0 and
On Thu, Oct 9, 2008 at 2:48 PM, Neal Becker [EMAIL PROTECTED] wrote:
David Huard wrote:
On Thu, Oct 9, 2008 at 9:40 AM, Neal Becker [EMAIL PROTECTED] wrote:
David Huard wrote:
Neal,
Look at: apply_along_axis
I guess it'd be:
b = empty_like(a)
for row in a.shape[0
Neal,
Look at: apply_along_axis
David
On Thu, Oct 9, 2008 at 8:04 AM, Neal Becker [EMAIL PROTECTED] wrote:
Suppose I have a function (I wrote in c++) that accepts a numpy 1-d vector.
What is the recommended way to apply it to each row of a matrix, returning
a new matrix result? (Assume
On Thu, Oct 9, 2008 at 9:40 AM, Neal Becker [EMAIL PROTECTED] wrote:
David Huard wrote:
Neal,
Look at: apply_along_axis
I guess it'd be:
b = empty_like(a)
for row in a.shape[0]:
b[row,:] = apply_along_axis (func, row, a)
I don't suppose there is a way to do this without
Frank, On Thu, Oct 2, 2008 at 3:20 PM, frank wang [EMAIL PROTECTED] wrote:
Thans David and Chris for providing the nice solution.
Glad it helped.
Both method works gread. I could not tell the speed difference between the
two solutions. My data size is 1048577 lines.
I'd be curious to
Frank,
How about that:
x = np.loadtxt('file')
z = x.sum(1) # Reduce data to an array of 0,1,2
rz = z[z0] # Remove all 0s since you don't want to count those.
loc = np.where(rz==2)[0] # The location of the (1,1)s
count = np.diff(loc) - 1 # The spacing between those (1,1)s, ie, the
On Tue, Sep 30, 2008 at 4:37 PM, Anne Archibald
[EMAIL PROTECTED]wrote:
2008/9/30 bevan [EMAIL PROTECTED]:
Hello,
I have some XY data. I would like to generate the equations for an upper
and
lower envelope that excludes a percentage of the data points.
I would like to define the
Note that the fix was also backported to 1.2, for which binary builds are
available:
David
[ copied from a recent thread ]
The 1.2.0rc2 is now available:
http://svn.scipy.org/svn/numpy/tags/1.2.0rc2
The source tarball is here:
https://cirl.berkeley.edu/numpy/numpy-1.2.0rc2.tar.gz
Here is the
This bug has been fixed in the trunk a couple of weeks ago.
Cheers,
David
On Mon, Sep 22, 2008 at 8:10 PM, Pierre GM [EMAIL PROTECTED] wrote:
On Monday 22 September 2008 19:56:47 frank wang wrote:
This error is caused that the usecols is a tuple and it does not have
find
command. I do
Brendan,
Not sure if I understand correctly what you want, but ...
Numpy vector operations are performed in C, so there will be an iteration
over the array elements.
For parallel operations over all pixels, you'd need a package that talks to
your GPU, such as pyGPU.
I've never tried it and if
Hi Ryan,
I applied your patch in r5788 on the trunk.
I noticed there was another bug occurring when both converters and usecols
are provided.
I've added regression tests for both bugs. Could you confirm that everything
is fine on your side ?
Thanks,
On Thu, Sep 4, 2008 at 4:47 PM, Ryan May
Done in r5790.
On Fri, Sep 5, 2008 at 12:36 PM, Ryan May [EMAIL PROTECTED] wrote:
David Huard wrote:
Hi Ryan,
I applied your patch in r5788 on the trunk.
I noticed there was another bug occurring when both converters and
usecols are provided.
I've added regression tests for both
On Tue, Aug 5, 2008 at 4:04 AM, Vincent Schut [EMAIL PROTECTED] wrote:
David Huard wrote:
On Mon, Aug 4, 2008 at 1:45 PM, Jarrod Millman [EMAIL PROTECTED]
mailto:[EMAIL PROTECTED] wrote:
snip
Question: Should histogram raise a warning by default (new=True) to warn
users
On Tue, Aug 5, 2008 at 1:18 PM, Jarrod Millman [EMAIL PROTECTED] wrote:
On Tue, Aug 5, 2008 at 8:48 AM, David Huard [EMAIL PROTECTED] wrote:
Thanks for the feedback. Here is what will be printed:
If new=False
The original semantics of histogram is scheduled to be
deprecated in NumPy
On Tue, Aug 5, 2008 at 1:36 PM, Jarrod Millman [EMAIL PROTECTED] wrote:
On Tue, Aug 5, 2008 at 10:24 AM, Stéfan van der Walt [EMAIL PROTECTED]
wrote:
Could you put in a check for new=True, and suppress those messages? A
user that knows about the changes wouldn't want to see anything.
On Mon, Aug 4, 2008 at 1:45 PM, Jarrod Millman [EMAIL PROTECTED] wrote:
Here are the remaining tasks that I am aware of that need to be done
before tagging 1.2.0b1 on the 8th.
Median
==
The call signature for median needs to change from
def median(a, axis=0, out=None,
On Thu, Jul 31, 2008 at 1:12 PM, Christopher Barker
[EMAIL PROTECTED]wrote:
David Cournapeau wrote:
Christopher Barker wrote:
On my OS-X box (10.4.11, python2.5, numpy '1.1.1rc2'), it takes about 7
seconds to import numpy!
Hot or cold ? If hot, there is something horribly wrong with
Hi,
Silent casting is often a source of bugs and I appreciate the strict rules
you want to enforce.
However, I think there should be a simpler mechanism for operations between
different types
than creating a copy of a variable with the correct type.
My suggestion is to have a dtype argument for
I think we should stick to what has been agreed and announced months ago.
It's called honouring our commitments and the project's image depends on it.
If the inconvenience of these API changes is worth the trouble, a 1.1.2 release
could be considered.
My two cents.
David
2008/7/22 Joe
Looks good to me. I committed the patch to the trunk and added a regression
test (r5495).
David
2008/7/18 Charles R Harris [EMAIL PROTECTED]:
On Fri, Jul 18, 2008 at 4:16 PM, Ryan May [EMAIL PROTECTED] wrote:
Hi,
I was trying to use loadtxt() today to read in some text data, and I had
Ryan, I committed your patch to the trunk and added a test for it from your
failing example.
Jarrod, though I'm also wary to touch the branch so late, the patch is minor
and I don't see how it could break something that was not already broken.
David
2008/7/20 Ryan May [EMAIL PROTECTED]:
Hi Stefan,
It's designed this way. The main reason is that the default bin edges are
generated using
linspace(a.min(), a.max(), bin)
when bin is an integer.
If we leave the rightmost edge open, then the histogram of a 100 items array
will typically yield an histogram with 99 values because the
The revision number for the backport of 5254 is 5419.
David
2008/7/15 Charles R Harris [EMAIL PROTECTED]:
After the first round of backports the following remain.
charris
r5259
r5312
r5322
r5324
r5392
r5394
r5399
r5406
r5407
dhuard
r5254
2008/7/14 Francesc Alted [EMAIL PROTECTED]:
[...]
DateArray([14-Jan-2001 14:34:33, 16-Jan-2001 10:09:11],
freq='S')
That's great. However we only planned to import/export dates from the
``datetime`` module for the time being, mainly because of efficency but
also simplicity.
I noticed that NumpyTest and NumpyTestCase disappeared, and now I am
wondering whether these classes part of the public interface or were they
reserved for internal usage ?
In the former, it might be well to deprecate them before removing them.
Cheers,
David
2008/6/17 David Cournapeau [EMAIL
, but
NumpyTest().test(all=True) doesn't, that is, it finds 0 test.
David
2008/6/2 Charles R Harris [EMAIL PROTECTED]:
On Mon, Jun 2, 2008 at 9:20 AM, David Huard [EMAIL PROTECTED] wrote:
Hi,
There are 2 problems with NumpyTest
1. It fails if the command is given the file name only
2008/6/9 Tommy Grav [EMAIL PROTECTED]:
I understand this and agree, but it still means that the API for
histogram is
broken since normed can only be used with the new=True parameter. I
though
the whole point of the future warning was to avoid this. It is not a
big deal,
just means that one
Hi,
There are 2 problems with NumpyTest
1. It fails if the command is given the file name only (without a directory
structure)
E.g.:
[EMAIL PROTECTED]:~/repos/numpy/numpy/tests$ python test_ctypeslib.py
Traceback (most recent call last):
File test_ctypeslib.py, line 87, in module
numpy.test(level=10,all=0) seems to work fine.
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properly if I can.
Alan
On Mon, Jun 2, 2008 at 11:20 AM, David Huard [EMAIL PROTECTED]
wrote:
Hi,
There are 2 problems with NumpyTest
1. It fails if the command is given the file name only (without a
directory
structure)
E.g.:
[EMAIL PROTECTED]:~/repos/numpy/numpy/tests$ python
Ticket 793 has a patch, submitted by Alan McIntyre, waiting for review from
someone C-API-wise.
Cheers,
David
2008/5/19 Neal Becker [EMAIL PROTECTED]:
Jarrod Millman wrote:
Please test the release candidate:
svn co http://svn.scipy.org/svn/numpy/tags/1.1.0rc1 1.1.0rc1
Also please
Works for me,
Thanks
David
2008/5/15 Pearu Peterson [EMAIL PROTECTED]:
Robert Kern wrote:
On Wed, May 14, 2008 at 3:20 PM, David Huard [EMAIL PROTECTED]
wrote:
I filed a patch that seems to do the trick in ticket #792.
I don't think this is the right approach. The problem isn't
2008/5/14 David Cournapeau [EMAIL PROTECTED]:
On Wed, 2008-05-14 at 13:58 -1000, Eric Firing wrote:
What does that mean? How does one know when there is a consensus?
There can be a system to make this automatic. For example, the code is
never commited directly to svn, but to a
Hi,
On fedora 8, the docstrings of f2py generated extensions are strangely
missing. On Ubuntu, the same modules do have the docstrings. The problem, as
reported in the f2py ML, seems to come from the -D_FORTIFY_SOURCE flag which
is set to 2 instead of 1. Could this be fixed in numpy.distutils and
I filed a patch that seems to do the trick in ticket
#792.http://scipy.org/scipy/numpy/ticket/792
2008/5/14 David Huard [EMAIL PROTECTED]:
Hi,
On fedora 8, the docstrings of f2py generated extensions are strangely
missing. On Ubuntu, the same modules do have the docstrings. The problem
Other suggestions for bounded bell-shaped functions that reach zero on a
finite interval:
- Beta distribution: http://en.wikipedia.org/wiki/Beta_distribution
- Cubic B-splines:http://www.ibiblio.org/e-notes/Splines/Basis.htm
2008/4/25 Bruce Southey [EMAIL PROTECTED]:
Rich Shepard wrote:
2008/4/24 Jarrod Millman [EMAIL PROTECTED]:
On Thu, Apr 24, 2008 at 1:22 PM, David Huard wrote:
Assuming we want the next version to : ignore values outside of range
and
accept and return the bin edges instead of the left edges, here could be
the
new signature for 1.1:
h, edges
2008/4/25 David Huard [EMAIL PROTECTED]:
2008/4/24 Jarrod Millman [EMAIL PROTECTED]:
On Thu, Apr 24, 2008 at 1:22 PM, David Huard wrote:
Assuming we want the next version to : ignore values outside of range
and
accept and return the bin edges instead of the left edges, here could
]
wrote:
On Fri, Apr 25, 2008 at 12:55 PM, David Huard [EMAIL PROTECTED]
wrote:
Done in r5085. I added a bunch of tests, but I'd appreciate if
someone
could double check before the release. This is not the time to
introduce new
bugs.
Hopefully this is the end
The problem I see with C is that it will break compatibility with the other
histogram functions, which also use bins.
So here is suggestion E:
The most common use case ( I think) is the following:
h, b = histogram(r, number_of_bins, normed=True/False) for which the
function behaves correctly.
2008/4/23, Stéfan van der Walt [EMAIL PROTECTED]:
Hi Jarrod
Of those tickets, the following are serious:
http://projects.scipy.org/scipy/numpy/ticket/605 (a patch is
available?, David Huard)
Fixing of histogram.
I haven't found a way to fix histogram reliably without breaking
Hello Jarrod and co.,
here is my personal version of the histogram saga.
The current version of histogram puts in the rightmost bin all values larger
than range, but does not put in the leftmost bin all values smaller than
bin, eg.
In [6]: histogram([1,2,3,4,5,6], bins=3, range=[2,5])
Out[6]:
2008/4/9, Gael Varoquaux [EMAIL PROTECTED]:
[snip]
Some people do not want their scripts to scale or to last more than a day.
And that's what Matlab is especially good at ! ; )
And I'll say the thing I'm dying to say since this started: If anybody other
than Travis had suggested we put
Hans,
Note that the current histogram is buggy, in the sense that it assumes that
all bins have the same width and computes db = bins[1]-bin[0]. This is why
you get zeros everywhere.
The current behavior has been heavily criticized and I think we should
change it. My proposal is to have for
, 3, -9223372036854775808])
In [29]: np.r_[-np.inf, asarray(dbin).astype(float), np.inf]
Out[29]: array([-Inf, 1., 2., 3., Inf])
Is this a misuse of r_ or a bug ?
David
But I have not had time to find the error.
Regards
Bruce
David Huard wrote:
Hans,
Note
+1 for an outlier keyword. Note, that this implies that when bins are passed
explicitly, the edges are given (nbins+1), not simply the left edges
(nbins).
While we are refactoring histogram, I'd suggest adding an axis keyword. This
is pretty straightforward to implement using the
2008/4/4, Joe Harrington [EMAIL PROTECTED]:
import numpy as N
import numpy.math as N.M
import numpy.trig as N.T
import numpy.stat as N.S
I don't think the issue is whether to put everything in the base namespace
// everything in individual namespace, but rather to find an optimal and
On Apr 7, 2008, at 4:14 PM, LB wrote:
+1 for axis and +1 for a keyword to define what to do with values
outside the range.
For the keyword, ather than 'outliers', I would propose 'discard' or
'exclude', because it could be used to describe the four
possibilities :
- discard='low'
Hi Tim,
Look at the thread posted a couple of weeks ago named: loadtxt and missing
values
I'm guessing you'll find answers to your questions, if not, don't hesitate
to ask.
David
2008/4/3, Tim Michelsen [EMAIL PROTECTED]:
Hello!
How can I load a data file (e.g. CSV, DAT) in ASCII which
Chris,
The trac http://projects.scipy.org/scipy/numpy/ page is to place to file
tickets.
Note that you have to register first before you can file new tickets.
David
2008/3/20, Chris Withers [EMAIL PROTECTED]:
Hi All,
I'm faily sure that:
numpy.isnan(datetime.datetime.now())
...should
of unexpected
results but wanted to know if anyone disagrees with the change.
The proposed version is implemented in revision 4888.
Regards,
David Huard
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I added a test for ticket 690.
2008/3/13, Barry Wark [EMAIL PROTECTED]:
I appologize that the Mac OSX buildbot has been so flakey. For some
reason it stops being able to resolve scipy.org on a regular basis
(though other processes on the same machine don't seem to have
trouble). Restarting
I added a test for ticket 691. Problem is, there seems to be a new bug. I
don't know it its related to the change or if it was there before. Please
check this out.
David
2008/3/14, David Huard [EMAIL PROTECTED]:
I added a test for ticket 690.
2008/3/13, Barry Wark [EMAIL PROTECTED]:
I
['S%03d'%i for i in int_data]
David
2008/3/13, Alan G Isaac [EMAIL PROTECTED]:
On Thu, 13 Mar 2008, Alexander Michael apparently wrote:
I want to format an array of numbers as strings.
To what end?
Note that tofile has a format option.
And for 1d array ``x`` you can always do::
I can look at it.
Would everyone be satisfied with a solution using regular expressions ?
That is, looking for the following pattern:
pattern = re.compile(r
^\s* # leading white space
(.*) # Data
%s? # Zero or one comment character
(.*) # Comments
\s*$ # Trailing white space
in enumerate(fh):
if iskiprows: continue
line = pattern.split(line)[0]
can take care of that automatically if comments is a regular expression.
Cheers,
David
2008/2/27, Christopher Barker [EMAIL PROTECTED]:
David Huard wrote:
Would everyone be satisfied with a solution using
Jarrod and David,
I am reporting a success on FC8, Xeon. Some tests don't pass, but I don't
believe it is related to the build process.
Well done,
David
2008/2/8, Jarrod Millman [EMAIL PROTECTED]:
Hello,
In preparation for the upcoming NumPy 1.0.5 release, I just merged
David Cournapeau's
2008/2/4, Lars Friedrich [EMAIL PROTECTED]:
Hi,
2) Is there a way to use another algorithm (at the cost of performance)
that uses less memory during calculation so that I can generate
bigger
histograms?
You could work through your array block by block. Simply fix the range
and
Hi Lars,
[...]
2008/2/1, Lars Friedrich [EMAIL PROTECTED]:
1) How can I tell histogramdd to use another dtype than float64? My bins
will be very little populated so an int16 should be sufficient. Without
normalization, a Integer dtype makes more sense to me.
There is no way you'll be able
2008/1/18, Stefan van der Walt [EMAIL PROTECTED]:
Hi David
On Fri, Jan 18, 2008 at 10:53:28AM -0500, David Huard wrote:
Stefan,
It seems that the current maskedarray branch is not compatible with the
current
scipy trunk.
Would you mind expanding on that?
From memory it had
2008/1/18, Stefan van der Walt [EMAIL PROTECTED]:
Hi David
On Tue, Jan 15, 2008 at 04:29:22PM -0500, David Huard wrote:
I am trying to install the maskedarray numpy branch for use with the
timeseries
package and I get the following error when importing numpy:
Before I try to find
Stefan,
It seems that the current maskedarray branch is not compatible with the
current scipy trunk.
Cheers,
David
2008/1/18, David Huard [EMAIL PROTECTED]:
Putting
import add_newdocs
before
import ma
seems to fix the ImportError, but I'm not sure if there could be
undesirable side
Hi all,
I am trying to install the maskedarray numpy branch for use with the
timeseries package and I get the following error when importing numpy:
/usr/local/lib64/python2.5/site-packages/numpy/__init__.py in module()
45 import random
46 import ctypeslib
--- 47 import ma
Hi all,
I'm having trouble understanding the behavior of vectorize on the following
example:
import string
from numpy import vectorize
vstrip = vectorize(string.strip)
s = [' aa ' , ' bb ', '
cc ']
vstrip(s)
array(['', '',
, David Huard [EMAIL PROTECTED] wrote:
Hi all,
I'm having trouble understanding the behavior of vectorize on the
following example:
import string
from numpy import vectorize
vstrip = vectorize( string.strip)
s = [' aa ' , ' bb
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