On Tue, Feb 9, 2010 at 9:54 AM, David Cournapeau courn...@gmail.com wrote:
On Mon, Feb 8, 2010 at 9:14 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi David and all,
I have a few questions on setting up the build environment on OS X for
Windows binaries. I have Wine installed
Hi,
Is there any utility function to find if values in the array are in
ascending or descending order.
Example:
arr = [1, 2, 4, 6] should return true
arr2 = [1, 0, 2, -2] should return false
Thanks
Vishal
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NumPy-Discussion mailing list
On Tue, Feb 9, 2010 at 7:42 AM, Vishal Rana ranavis...@gmail.com wrote:
Hi,
Is there any utility function to find if values in the array are in
ascending or descending order.
Example:
arr = [1, 2, 4, 6] should return true
arr2 = [1, 0, 2, -2] should return false
Thanks
Vishal
I don't know
On Tue, Feb 9, 2010 at 7:42 AM, Vishal Rana ranavis...@gmail.com wrote:
Hi,
Is there any utility function to find if values in the array are in
ascending or descending order.
Example:
arr = [1, 2, 4, 6] should return true
arr2 = [1, 0, 2, -2] should return false
Thanks
Vishal
On Tue, Feb 9, 2010 at 7:51 AM, Brent Pedersen bpede...@gmail.com wrote:
On Tue, Feb 9, 2010 at 7:42 AM, Vishal Rana ranavis...@gmail.com wrote:
Hi,
Is there any utility function to find if values in the array are in
ascending or descending order.
Example:
arr = [1, 2, 4, 6] should return
Thanks
On Tue, Feb 9, 2010 at 7:51 AM, Brent Pedersen bpede...@gmail.com wrote:
On Tue, Feb 9, 2010 at 7:42 AM, Vishal Rana ranavis...@gmail.com wrote:
Hi,
Is there any utility function to find if values in the array are in
ascending or descending order.
Example:
arr = [1, 2, 4, 6]
Hi,
I've been working with numpy for less than a month, having learned about
it after finding matplotlib. My foundation in things like set theory is...
weak to nonexistent, so I need a little help mapping sql-like thoughts into
set-theory thinking :)
Some context to help me explain: I'm
On Tue, Feb 9, 2010 at 15:52, David Carmean d...@halibut.com wrote:
Hi,
I've been working with numpy for less than a month, having learned about
it after finding matplotlib. My foundation in things like set theory is...
weak to nonexistent, so I need a little help mapping sql-like thoughts
On Tue, Feb 9, 2010 at 5:02 PM, Robert Kern robert.k...@gmail.com wrote:
numpy.lib.recfunctions.join_by(key, r1, r2, jointype='leftouter')
And if that isn't sufficient, John has in matplotlib.mlab a few other
similar utilities that allow for more complex cases:
In [2]: mlab.rec_
On Tue, Feb 9, 2010 at 4:43 PM, Fernando Perez fperez@gmail.com wrote:
On Tue, Feb 9, 2010 at 5:02 PM, Robert Kern robert.k...@gmail.com wrote:
numpy.lib.recfunctions.join_by(key, r1, r2, jointype='leftouter')
And if that isn't sufficient, John has in matplotlib.mlab a few other
similar
On 9-Feb-10, at 5:02 PM, Robert Kern wrote:
Examples? Pointers? Shoves toward the correct sections of the docs?
numpy.lib.recfunctions.join_by(key, r1, r2, jointype='leftouter')
Huh. All these years, how have I missed this?
Yet another demonstration of why my never skip over a Kern posting
On Tue, Feb 9, 2010 at 17:47, Ralf Gommers ralf.gomm...@googlemail.com wrote:
On Wed, Feb 10, 2010 at 6:02 AM, Robert Kern robert.k...@gmail.com wrote:
For some reason, numpy.lib.recfunctions isn't in the documentation
editor. I'm not sure why.
Because it's not in np.lib.__all__ .
Then
On Tue, Feb 9, 2010 at 6:52 PM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Feb 9, 2010 at 17:47, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
On Wed, Feb 10, 2010 at 6:02 AM, Robert Kern robert.k...@gmail.com wrote:
For some reason, numpy.lib.recfunctions isn't in the
On Tue, Feb 9, 2010 at 18:02, josef.p...@gmail.com wrote:
On Tue, Feb 9, 2010 at 6:52 PM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Feb 9, 2010 at 17:47, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
On Wed, Feb 10, 2010 at 6:02 AM, Robert Kern robert.k...@gmail.com wrote:
For
On Feb 9, 2010, at 6:52 PM, Robert Kern wrote:
On Tue, Feb 9, 2010 at 17:47, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
On Wed, Feb 10, 2010 at 6:02 AM, Robert Kern robert.k...@gmail.com wrote:
For some reason, numpy.lib.recfunctions isn't in the documentation
editor. I'm not
Similar to the recfunctions, I also don't find the new chebychev
polynomials in the docs.
Are they linked from any rst file?
A search in the online sphinx html docs comes up empty, and
http://docs.scipy.org/numpy/docs/numpy-docs/reference/routines.poly.rst/#routines-poly
doesn't link to the new
ti, 2010-02-09 kello 18:04 -0600, Robert Kern kirjoitti:
On Tue, Feb 9, 2010 at 18:02, josef.p...@gmail.com wrote:
[clip]
numpy.lib.recfunctions
I think, it's possible to directly import/reference them in the docs
without adding them to lib.__all__
Okay. What is that way? What do we
On Feb 9, 2010, at 7:54 PM, Pauli Virtanen wrote:
But, should we make these functions available under some less
internal-ish namespace? There's numpy.rec at the least -- it could be
made a real module to pull in things from core and lib.
I still think these functions are more generic than
On Tue, Feb 9, 2010 at 7:06 PM, Pierre GM pgmdevl...@gmail.com wrote:
On Feb 9, 2010, at 6:52 PM, Robert Kern wrote:
On Tue, Feb 9, 2010 at 17:47, Ralf Gommers ralf.gomm...@googlemail.com
wrote:
On Wed, Feb 10, 2010 at 6:02 AM, Robert Kern robert.k...@gmail.com wrote:
For some reason,
On Tue, Feb 9, 2010 at 7:02 PM, Pierre GM pgmdevl...@gmail.com wrote:
On Feb 9, 2010, at 7:54 PM, Pauli Virtanen wrote:
But, should we make these functions available under some less
internal-ish namespace? There's numpy.rec at the least -- it could be
made a real module to pull in things from
On Feb 9, 2010, at 8:16 PM, John Hunter wrote:
I still think these functions are more generic than the rec_ prefix let
think, and I'd still prefer a decision being made about what should go in
the module before thinking too hard about how to advertise it.
I would love to see many of these
Are you talking about absence in the Wiki or absence in a NumPy executable.
They're in the former (I've been editing them), and they're in 1.4.0 of the
latter:
import numpy as N
N.version.version
'1.4.0'
from numpy.polynomial import chebyshev as C
help(C.chebfit)
Help on function chebfit in
On Tue, Feb 9, 2010 at 9:30 PM, David Goldsmith d.l.goldsm...@gmail.com wrote:
Are you talking about absence in the Wiki or absence in a NumPy executable.
They're in the former (I've been editing them), and they're in 1.4.0 of the
latter:
I have them in numpy 1.4, I see them in the doceditor,
On Tue, Feb 9, 2010 at 7:52 PM, josef.p...@gmail.com wrote:
On Tue, Feb 9, 2010 at 9:30 PM, David Goldsmith d.l.goldsm...@gmail.com
wrote:
Are you talking about absence in the Wiki or absence in a NumPy
executable.
They're in the former (I've been editing them), and they're in 1.4.0 of
Hi,
I am a bit puzzled by the protocol for long(a) where a is a scalar
array. For example, for a = np.float128(1), I was expecting long(a) to
call a.__long__, but it does not look like it is the case. int(a) does
not call a.__int__ either. Where does the long conversion happen in
numpy for scalar
On Tue, Feb 9, 2010 at 11:12 PM, David Cournapeau courn...@gmail.comwrote:
Hi,
I am a bit puzzled by the protocol for long(a) where a is a scalar
array. For example, for a = np.float128(1), I was expecting long(a) to
call a.__long__, but it does not look like it is the case. int(a) does
not
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