You're now reminding me of the old spinning SGI logo
http://www.youtube.com/watch?v=Nqf6TjE49N8
Brennan
On 27/06/2012 10:40 a.m., klo uo wrote:
I continued in this mpl trip, with small animation sequence:
# animation
ax.view_init(90,-90)
plt.ion()
You can use scipy.stats.truncnorm, can't you? Unless I misread, you want
to sample a normal distribution but with generated values only being
within a specified range? However you also say you want to do this with
triangular and log normal and for these I presume the easiest way is to
sample
On 28/01/2011 1:07 p.m., Sturla Molden wrote:
Den 28.01.2011 00:23, skrev Robert Kern:
We've resisted it for years. I don't think the split has done scipy
much good.
The scope of NumPy is narrower development-wise and wider user-wise.
While SciPy does not benefit, as use and development are
I have used both linear least squares and radial basis functions as a
proxy equation, calculated from the results of computer simulations
which are calculating some objective function value based on a number of
varied input parameters.
As an alternative option I want to add a quadratic
On 29/10/2010 2:34 a.m., Robert Kern wrote:
On Thu, Oct 28, 2010 at 06:38, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
I have used both linear least squares and radial basis functions as a
proxy equation, calculated from the results of computer simulations
which
On 29/10/2010 6:35 a.m., Robert Kern wrote:
On Thu, Oct 28, 2010 at 12:33, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
On 29/10/2010 2:34 a.m., Robert Kern wrote:
On Thu, Oct 28, 2010 at 06:38, Brennan Williams
brennan.willi...@visualreservoir.comwrote:
I have
Andrea Gavana wrote:
Hi Chris and All,
On 29 March 2010 22:35, Christopher Barker wrote:
Andrea Gavana wrote:
Scaling each axis by its standard deviation is a typical first start.
Shifting and scaling the values such that they each go from 0 to 1 is
another useful thing to try.
Andrea Gavana wrote:
HI All,
On 28 March 2010 19:22, Robert Kern wrote:
On Sun, Mar 28, 2010 at 03:26, Anne Archibald peridot.face...@gmail.com
wrote:
On 27 March 2010 20:24, Andrea Gavana andrea.gav...@gmail.com wrote:
Hi All,
I have an interpolation problem and I
Andrea Gavana wrote:
Hi All,
On 28 March 2010 22:14, Pierre GM wrote:
On Mar 28, 2010, at 4:47 PM, Andrea Gavana wrote:
HI All,
On 28 March 2010 19:22, Robert Kern wrote:
On Sun, Mar 28, 2010 at 03:26, Anne Archibald peridot.face...@gmail.com
wrote:
On 27
Andrea Gavana wrote:
Hi Friedrich All,
On 28 March 2010 23:51, Friedrich Romstedt wrote:
2010/3/28 Andrea Gavana andrea.gav...@gmail.com:
Example 1
# o2 and o3 are the number of production wells, split into 2
# different categories
# inj is the number of injection wells
#
Andrea Gavana wrote:
On 29 March 2010 00:34, Robert Kern wrote:
On Sun, Mar 28, 2010 at 18:30, Andrea Gavana andrea.gav...@gmail.com wrote:
Hi Friedrich All,
On 28 March 2010 23:51, Friedrich Romstedt wrote:
2010/3/28 Andrea Gavana andrea.gav...@gmail.com:
Christopher Barker wrote:
Bruce Southey wrote:
Christopher Barker provided some code last last year on appending
ndarrays eg:
http://mail.scipy.org/pipermail/numpy-discussion/2009-November/046634.html
yup, Id love someone else to pick that up and test/improve it.
Anyway, that code
Bruce Southey wrote:
On 03/02/2010 09:47 PM, David Goldsmith wrote:
On Tue, Mar 2, 2010 at 6:59 PM, Brennan Williams
brennan.willi...@visualreservoir.com
mailto:brennan.willi...@visualreservoir.com wrote:
David Goldsmith wrote:
On Tue, Mar 2, 2010 at 6:29 PM, Brennan
I'm reading a file which contains a grid definition. Each cell in the
grid, apart from having an i,j,k index also has 8 x,y,z coordinates.
I'm reading each set of coordinates into a numpy array. I then want to
add/append those coordinates to what will be my large points array.
Due to the
David Goldsmith wrote:
On Tue, Mar 2, 2010 at 6:29 PM, Brennan Williams
brennan.willi...@visualreservoir.com
mailto:brennan.willi...@visualreservoir.com wrote:
I'm reading a file which contains a grid definition. Each cell in the
grid, apart from having an i,j,k index also has 8
I'm using FortranFile to read a binary Fortran file.
It has a bit of header data at the top of the file which I'm reading
with a combination of readString and struct.unpack
This is then followed by a number of lines/records, each of which has 20
double precision reals/floats.
For some reason it
Brennan Williams wrote:
Hi
I'm using FortranFile on 32 bit XP.
The first record in the file has both 32 bit integer values and double
precision float values.
I've used readInts('i') to read the data into what I presume is a 32-bit
integer numpy array.
Items 0 and 1 of the array
Hi
I'm using FortranFile on 32 bit XP.
The first record in the file has both 32 bit integer values and double
precision float values.
I've used readInts('i') to read the data into what I presume is a 32-bit
integer numpy array.
Items 0 and 1 of the array are the first double precision value.
Brennan Williams wrote:
Hi
No doubt asked many times before so apologies
I'm pulling a subset array out of a data array where I have a list of
the indices I want (could be an array rather than a list actually - I
have it in both).
Potentially the number of points and the number
josef.p...@gmail.com wrote:
On Mon, Aug 10, 2009 at 8:52 PM, Brennan
Williamsbrennan.willi...@visualreservoir.com wrote:
Hi
No doubt asked many times before so apologies
I'm pulling a subset array out of a data array where I have a list of
the indices I want (could be an array
Hi
I'm using npfile which is giving me a deprecation warning. For the time
being I want to continue using it but I would like to suppress
the warning messages. Is it possible to trap the deprecation warning but
still have the npfile go ahead?
Thanks
Brennan
Robert Kern wrote:
On Mon, Jun 15, 2009 at 17:27, Brennan
Williamsbrennan.willi...@visualreservoir.com wrote:
Hi
I'm using npfile which is giving me a deprecation warning. For the time
being I want to continue using it but I would like to suppress
the warning messages. Is it possible to
Robert Kern wrote:
On Mon, Jun 15, 2009 at 18:48, Brennan
Williamsbrennan.willi...@visualreservoir.com wrote:
Robert Kern wrote:
On Mon, Jun 15, 2009 at 17:27, Brennan
Williamsbrennan.willi...@visualreservoir.com wrote:
Hi
I'm using npfile which is giving me a
Not a question really but just for discussion/pie-in-the-sky etc
This is a news item on vizworld about getting Matlab code to run on a
CUDA enabled GPU.
http://www.vizworld.com/2009/05/cuda-enable-matlab-with-gpumat/
If the use of GPU's for numerical tasks takes off (has it already?) then
I've created an array of strings using something like
stringarray=self.karray.astype(|S8)
If the array value is a Nan I get 1.#QNAN in my string array.
For cosmetic reasons I'd like to change this to something else, e.g.
invalid or inactive.
My string array can be up to
Charles R Harris wrote:
On Thu, May 7, 2009 at 5:36 PM, Brennan Williams
brennan.willi...@visualreservoir.com
mailto:brennan.willi...@visualreservoir.com wrote:
I've created an array of strings using something like
stringarray=self.karray.astype(|S8
Hi numpy/scipy users,
I'm looking to add some basic goodness-of-fit functions/plots to my app.
I have a set of simulated y vs time data and a set of observed y vs time
data.
The time values aren't always the same, i.e. there are often fewer
observed data points.
Some variables will be in a
Charles R Harris wrote:
On Mon, Apr 13, 2009 at 6:28 PM, Brennan Williams
brennan.willi...@visualreservoir.com
mailto:brennan.willi...@visualreservoir.com wrote:
Hi numpy/scipy users,
I'm looking to add some basic goodness-of-fit functions/plots to
my app.
I have a set
Robert Kern wrote:
On Wed, Mar 25, 2009 at 00:09, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
Robert Kern wrote:
On Tue, Mar 24, 2009 at 18:29, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
I have an array (porvatt.yarray) of ni*nj*nk values
I have an array (porvatt.yarray) of ni*nj*nk values.
I want to create two further arrays.
activeatt.yarray is of size ni*nj*nk and is a pointer array to an active
cell number. If a cell is inactive then its activeatt.yarray value will be 0
ijkatt.yarray is of size nactive, the number of active
Robert Kern wrote:
On Tue, Mar 24, 2009 at 18:29, Brennan Williams
brennan.willi...@visualreservoir.com wrote:
I have an array (porvatt.yarray) of ni*nj*nk values.
I want to create two further arrays.
activeatt.yarray is of size ni*nj*nk and is a pointer array to an active
cell number
Ok... I'm using Traits and numpy.
I have a 3D grid with directions I,J and K.
I have NI,NJ,NK cells in the I,J,K directions so I have NI*NJ*NK cells
overall.
I have data arrays with a value for each cell in the grid.
I'm going to store this as a 1D array, i.e. 1ncells where
ncells=NI*NJ*NK
Nils Wagner wrote:
On Sat, 14 Feb 2009 17:22:43 +0100
Nils Wagner nwag...@iam.uni-stuttgart.de wrote:
Hi all,
How can I convert an array with string elements to
an array with float entries ?
coord_info[:,1]
array(['0,0', '100,0', '200,0', '300,0', '400,0',
OK so maybe I should
(1) not add some sort of checksum type functionality to my read/write
methods
these read/write methods simply read/write numpy arrays to a
binary file which contains one or more numpy arrays (and nothing else).
(2) replace my binary files iwith either HDF5 or
My app reads in one or more float arrays from a binary file.
Sometimes due to network timeouts etc the array is not read correctly.
What would be the best way of checking the validity of the data?
Would some sort of checksum approach be a good idea?
Would that work with an array of floating
[EMAIL PROTECTED] wrote:
On Thu, Dec 4, 2008 at 6:17 PM, Brennan Williams
[EMAIL PROTECTED] wrote:
My app reads in one or more float arrays from a binary file.
Sometimes due to network timeouts etc the array is not read correctly.
What would be the best way of checking the validity
Thanks
[EMAIL PROTECTED] wrote:
I didn't check what this does behind the scenes, but try this
import hashlib #standard python library
import numpy as np
m = hashlib.md5()
m.update(np.array(range(100)))
m.update(np.array(range(200)))
m2 = hashlib.md5()
m2.update(np.array(range(100)))
Robert Kern wrote:
On Thu, Dec 4, 2008 at 18:54, Brennan Williams
[EMAIL PROTECTED] wrote:
Thanks
[EMAIL PROTECTED] wrote:
I didn't check what this does behind the scenes, but try this
import hashlib #standard python library
import numpy as np
m = hashlib.md5
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