On 29 March 2013 11:15, Todd wrote:
> From what I can see, numpy doesn't have any functions for handling polar or
> spherical coordinate to/from cartesian coordinate conversion. I think such
> methods would be pretty useful. I am looking now and it doesn't look that
> hard to create functions to
On 23 October 2012 13:11, Cera, Tim wrote:
> I have an array that is peppered throughout in random spots with 'nan'. I
> would like to use 'cumsum', but I want it to reset the accumulation to 0
> whenever a 'nan' is encountered. Is there a way to do this? Aside from a
> loop - which is what I a
On 3 August 2012 11:18, Jim Vickroy wrote:
> Hello everyone,
>
> I'm trying to determine the 2 greatest values, in a 3-d array, along one
> axis.
>
> Here is an approach:
>
> # --
> # procedure to determine greatest 2 values for 3rd dimension of
On 19 August 2011 16:11, Matthew Brett wrote:
> Hi,
>
> On Fri, Aug 19, 2011 at 1:04 PM, Angus McMorland wrote:
>> Hi all,
>>
>> I'm giving this email a new subject, in case that helps it catch the
>> attention of someone who can fix my problem. I current
Hi all,
I'm giving this email a new subject, in case that helps it catch the
attention of someone who can fix my problem. I currently cannot
upgrade numpy from git to any date more recent than 10 July. Git
commit feb8079070b8a659d7ee is the first that causes the problem
(according to github, the c
On 10 August 2011 04:01, Pauli Virtanen wrote:
> Mon, 08 Aug 2011 11:27:14 -0400, Angus McMorland wrote:
>> I've just upgraded to the latest numpy from git along with upgrading
>> Ubuntu to natty. Now some of my code, which relies on ctypes-wrapping of
>> data structur
Hi all,
I've just upgraded to the latest numpy from git along with upgrading
Ubuntu to natty. Now some of my code, which relies on ctypes-wrapping
of data structures from a messaging system, fails with the error
message:
"RuntimeWarning: Item size computed from the PEP 3118 buffer format
string d
On 7 June 2011 17:57, Mark Wiebe wrote:
> Hi Angus,
> Thanks for reporting that, I've committed a fix so it builds in the
> monolithic mode again.
Thanks Mark. That fixed it for i686, but on x86_64 I get the
following. Still looks datetime related.
compile options: '-Ibuild/src.linux-x86_64-2.6/
Hi all,
I'm experiencing a build failure from current numpy git, which seems
to be datetime related. Here's the error message.
creating build/temp.linux-i686-2.6/numpy/core/src/multiarray
compile options: '-Inumpy/core/include
-Ibuild/src.linux-i686-2.6/numpy/core/include/numpy
-Inumpy/core/src/p
On 16 March 2011 09:24, Paul Anton Letnes wrote:
> Hi!
>
> This little snippet of code tricked me (in a more convoluted form). The *=
> operator does not change the datatype of the left hand side array. Is this
> intentional? It did fool me and throw my results quite a bit off. I always
> assum
On 16 March 2011 02:53, dileep kunjaai wrote:
> Dear sir,
> Can we do multiple linear regression(MLR) in python is there any
> inbuilt function for MLR
Yes, you can use np.linalg.lstsq [1] for this.
Here's a quick example:
import numpy as np
# model is y = b0.x0 + b1.x1 + b2.x2
b = np.arra
On 9 March 2011 10:37, Neal Becker wrote:
> Angus McMorland wrote:
>
>> On 9 March 2011 09:45, Neal Becker wrote:
>>> given: w[i,j,k], y[l, k]
>>>
>>> find:
>>> d[l,i,j] = norm(w[i,j] - y[l])
>>>
>>> for each triple (l,i,j), w[i,j
On 9 March 2011 09:45, Neal Becker wrote:
> given: w[i,j,k], y[l, k]
>
> find:
> d[l,i,j] = norm(w[i,j] - y[l])
>
> for each triple (l,i,j), w[i,j]-y[l] is a vector, of which I want to find the
> norm, and store into d[l,i,j]
Is something like this what you want to do?
w = np.random.randint(100,
Hi all,
I want to create a transpose of a vector, such that if the same index
is given in the 'axes' list (as per np.transpose), then the sum of the
original values sharing the same index is placed in the corresponding
output index.
For example:
In: data = np.array([5, 7, 9, 6, 2])
In: order =
On 11 February 2011 09:01, FRENK Andreas wrote:
> Hi,
>
> I need to create a construct that returns the index of entries of the first
> list, if values in the first and second list are equal.
>
> Take
>
> valA = [1,2,3,4,20,21,22,23,24]
> valB = [1,2,3,4, 5,21,22,23]
> The correct solution is: [0
On 19 August 2010 10:01, greg whittier wrote:
> I frequently deal with 3D data and would like to sum (or find the
> mean, etc.) over the last two axes. I.e. sum a[i,j,k] over j and k.
> I find using .sum() really convenient for 2d arrays but end up
> reshaping 2d arrays to do this. I know there
Hi all,
I'm having a bit of a brain block about the following fancy indexing
question, and am hoping someone can point me in the right direction. I
have a 3-d array `a` that I want to reorder along its 0th dimension
differently for each 1st dimension, with the indices given in a 2-d
array `ord`. I
On 23 June 2010 16:13, Alan Bromborsky wrote:
> Alan Bromborsky wrote:
>> In the transpose function we have transpose(a,axis) where axis can be a
>> list of integers. But exactly what to the integers mean? If axis =
>> [i1,i2] switching axis i1 with axis i2 is obvious, but what if axis =
>> [i1,i
On 13 April 2010 04:01, Gökhan Sever wrote:
>
>
> On Mon, Apr 12, 2010 at 9:41 PM, Angus McMorland wrote:
>
>> Hi all,
>>
>> I want to sort a 2d array along one dimension, with the indices returned
>> by argsort, but the subsequent indexing syntax to ge
Hi all,
I want to sort a 2d array along one dimension, with the indices returned by
argsort, but the subsequent indexing syntax to get the sorted array is not
obvious.
The following works, but I wonder if there is a simpler way:
a = np.random.random(size=(5,3))
s = np.argsort(a, axis=1)
sorted =
On 30 March 2010 14:59, Vishal Rana wrote:
> Hi,
> In an array I want to replace all NANs with some number say 100, I found a
> method nan_to_num but it only replaces with zero.
> Any solution for this?
ar[np.isnan(ar)] = my_num
where ar is your array and my_num is the number you want to replace
On 10 February 2010 11:02, Gökhan Sever wrote:
> Hi,
>
> Simple question:
>
> I[4]: a = np.arange(10)
>
> I[5]: b = np.array(5)
>
> I[8]: a*b.cumsum()
> O[8]: array([ 0, 5, 10, 15, 20, 25, 30, 35, 40, 45])
>
> I[9]: np.array(a*b).cumsum()
> O[9]: array([ 0, 5, 15, 30, 50, 75, 105, 140, 180
Hi all,
I'm trying to import data from a matlab file using scipy.io.loadmat.
One of the variables in the file imports as an array of shape (51,) of
dtype object, with each element being an array of shape (23,100) of
dtype float. How do I convert this array into a single array of dtype
float with s
Hi all,
I'm having an issue with np.ma.apply_along_axis not propagating a mask
correctly. This code-snippet should hopefully show what's happening:
import numpy as np
xy = np.random.random(size=(5,2))
mask = np.tile(np.array([True] * 3 + [False] * 2)[:,None], (1,2))
xyma = np
2009/11/18 Robert Kern :
> On Wed, Nov 18, 2009 at 15:15, Angus McMorland wrote:
>> Hi all,
>>
>> Whenever I run numpy.linalg.lstsq with a xs parameter with both
>> dimensions larger than 128, I get an "Illegal instruction" and python
>> dies complet
Hi all,
Whenever I run numpy.linalg.lstsq with a xs parameter with both
dimensions larger than 128, I get an "Illegal instruction" and python
dies completely. It happens with both the Ubuntu jaunty standard numpy
1.2.1, and a recent svn 1.4.0.dev7727, but it doesn't seem to happen
on any other mac
Hi all,
Our lab has an in-house messaging protocol, written in C++, for
interfacing the different components of our experimental setups, and
allowing programs written in several different languages to talk to
each other. I'm currently trying to write a Python interface to this
protocol, mainly so
2009/7/14 Greg Fiske :
> Dear list,
>
> I’m learning to work with numpy arrays. Can somebody explain how to get the
> average of two separate arrays while ignoring a user defined value in one
> array?
>
> For example:
>
a = numpy.array([1,5,4,99])
b = numpy.array([3,7,2,8])
>
> Ignoring th
Hi James,
2008/12/8 James <[EMAIL PROTECTED]>:
>
> I have a very simple plot, and the lines join point to point, however i
> would like to add a line of best fit now onto the chart, i am really new
> to python etc, and didnt really understand those links!
>
> Can anyone help me :)
It sounds like
2008/11/27 Robert Ferrell <[EMAIL PROTECTED]>:
> I have a question about assigning to masked arrays. a is a len ==3
> masked array, with 2 unmasked elements. b is a len == 2 array. I
> want to put the elements of b into the unmasked elements of a. How do
> I do that?
>
> In [598]: a
> Out[598]:
2008/11/6 Robert Kern <[EMAIL PROTECTED]>:
> On Thu, Nov 6, 2008 at 21:54, Angus McMorland <[EMAIL PROTECTED]> wrote:
>> Hi all,
>>
>> I'm trying to import a 16-bit tiff image into a numpy array. I have
>> found, using google, suggestions to do th
Hi all,
I'm trying to import a 16-bit tiff image into a numpy array. I have
found, using google, suggestions to do the following:
After starting with:
i = Image.open('16bitGreyscaleImage.tif')
Stéfan van der Walt suggested:
a = np.array(i.getdata()).reshape(i.size) # a 1d numpy array
and adap
2008/10/13 Mathew Yeates <[EMAIL PROTECTED]>
> Is there a routine in scipy for telling whether a point is inside a
> convex 4 sided polygon?
Not specifically in scipy, as far as I know, but there are several
supplementary packages that provide this functionality, including
matplotlib:
http://p
2008/5/22 Andrea Gavana <[EMAIL PROTECTED]>:
> Hi All,
>
>I am building some 3D grids for visualization starting from a much
> bigger grid. I build these grids by satisfying certain conditions on
> x, y, z coordinates of their cells: up to now I was using VTK to
> perform this operation, but VT
2008/5/5 Keith Goodman <[EMAIL PROTECTED]>:
> I'm the click of a botton away from changing the python default on my
> Debian Lenny system from 2.4 to 2.5. Has anyone experienced any numpy
> issues after the switch?
All normal here so far, with most of a day's use. All numpy tests
pass, and I ge
2008/5/2 Rich Shepard <[EMAIL PROTECTED]>:
>When I last visited I was given excellent advice about Gaussian and other
> bell-shaped curves. Upon further reflection I realized that the Gaussian
> curves will not do; the curve does need to have y=0.0 at each end.
>
>I tried to apply a Beta
-1 for any functions added to numpy.
As only an end-user, I realize I have little right to a say in these
sorts of issues, but for whatever it may be worth, I strongly agree
with Gael's viewpoint. We should be aiming towards modular systems for
function distribution, and now that it seems that the
On 30/11/2007, Zachary Pincus <[EMAIL PROTECTED]> wrote:
> Hello all,
>
> I'm curious if people have experience with / preferences for how to
> display a numpy array onscreen as an image.
I'm not sure if you're after anything specific, but a very convenient
way to show 2-D arrays on screen is matp
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