Hi All,
I am a bit new to the NumPy C-API and I am having a hard time with placing
results into output arrays... I am using PyArray_TakeFrom to grab an input
dimension of data, then do a calculation, then I want to pack it back to the
output... yet the PutTo function does not have an axis
Hello All,
I was wondering what the best way to trim an array based on some values I do
not want I could use NUM.where or NUM.take... but let me give you an
example:
import numpy as NUM
n = 100 (Length of my dataset)
data = NUM.empty((n,), float)
badRecords = []
for ind, record in
Hello All,
I am trying to identify columns of a matrix that are perfectly collinear. It
is not that difficult to identify when two columns are identical are have zero
variance, but I do not know how to ID when the culprit is of a higher order.
i.e. columns 1 + 2 + 3 = column 4.
, August 26, 2011 10:28 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Identifying Colinear Columns of a Matrix
On Fri, Aug 26, 2011 at 1:10 PM, Mark Janikas mjani...@esri.com wrote:
Hello All,
I am trying to identify columns of a matrix that are perfectly collinear
the whole k! algorithm.
MJ
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Mark Janikas
Sent: Friday, August 26, 2011 10:35 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Identifying Colinear Columns
-discussion] Identifying Colinear Columns of a Matrix
On Fri, Aug 26, 2011 at 11:41 AM, Mark Janikas
mjani...@esri.commailto:mjani...@esri.com wrote:
I wonder if my last statement is essentially the only answer... which I wanted
to avoid...
Should I just use combinations of the columns and try
the LinAlgError()... this suggests that
there is some kind of random component to the INV method. Is this normal?
Thanks much ahead of time,
MJ
Mark Janikas
Product Developer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
mjani...@esri.commailto:mjani...@esri.com
, operator norm, etc..
-Chris JS
On Tue, Aug 30, 2011 at 5:48 PM, Mark Janikas mjani...@esri.com wrote:
Hello All,
Last week I posted a question involving the identification of linear
dependent columns of a matrix. but now I am finding an interesting result
based on the linalg.inv
When I export to ascii I am losing precision and it getting consistency... I
will try a flat dump. More to come. TY
MJ
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Mark Janikas
Sent: Tuesday, August 30, 2011 4:02
, Mark Janikas mjani...@esri.com wrote:
Hello All,
Last week I posted a question involving the identification of linear
dependent columns of a matrix… but now I am finding an interesting result
based on the linalg.inv() function… sometime I am able to invert a matrix
that has linear dependent
Inverse Algorithm
On Tue, 30 Aug 2011 15:48:18 -0700, Mark Janikas wrote:
Last week I posted a question involving the identification of linear
dependent columns of a matrix... but now I am finding an interesting
result based on the linalg.inv() function... sometime I am able to
invert a matrix
-boun...@scipy.org] On Behalf Of Bruce Southey
Sent: Wednesday, August 31, 2011 11:11 AM
To: numpy-discussion@scipy.org
Subject: Re: [Numpy-discussion] Question on LinAlg Inverse Algorithm
On 08/31/2011 12:56 PM, Mark Janikas wrote:
Right indeed... I have spent a lot of time looking
appreciated.
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
[EMAIL PROTECTED]
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Yup. It was faster to:
Use lists for the append, then transform into an array, then transform
into a binary string
Rather than
Create empty arrays and use its append method, then transform into a
binary string.
The last question on the output when then be to test the speed of
of Numerical Python
Subject: Re: [Numpy-discussion] fromstring, tostring slow?
Mark Janikas wrote:
I am finding that directly packing numpy arrays into binary using the
tostring and fromstring methods
For starters, use fromfile and tofile, to save the overhead of creating
an entire extra string
] On Behalf Of Stefan van der
Walt
Sent: Tuesday, February 13, 2007 3:52 PM
To: numpy-discussion@scipy.org
Subject: Re: [Numpy-discussion] fromstring, tostring slow?
On Tue, Feb 13, 2007 at 03:44:37PM -0800, Mark Janikas wrote:
I don't think I can do that because I have heterogeneous rows of
data
of Numerical Python
Subject: Re: [Numpy-discussion] fromstring, tostring slow?
Mark Janikas wrote:
I don't think I can do that because I have heterogeneous rows of
data I.e. the columns in each row are different in length.
like I said, show us your whole problem...
But you don't have
Hello all,
I was wondering how I could print the chi-squared symbol in python. I
have been looking at the Unicode docs, but I figured I would ask for
assistance here while I delve into it. Thanks for any help in advance.
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York
, Mark Janikas wrote:
Hello all,
I was wondering how I could print the chi-squared symbol in
python. I have been looking at the Unicode docs, but I figured I
would ask for assistance here while I delve into it. Thanks for
any help in advance.
Mark Janikas
Product Engineer
] [mailto:[EMAIL PROTECTED] On Behalf Of Mark Janikas
Sent: Tuesday, February 20, 2007 5:16 PM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Greek Letters
Thanks Robert but alas, I get.
import sys
sys.stdout.encoding
'cp437'
print u'\u03a7\u00b2'.encode
to
a platform-independent doc on how to install from the source tar file?
Thanks ahead of time,
MJ
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
[EMAIL PROTECTED]
___
Numpy-discussion
in advance
MJ
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Robert Kern
Sent: Wednesday, February 28, 2007 11:26 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Source install
Mark Janikas wrote:
Hello all,
I have used numpy
PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Mark Janikas
Sent: Friday, March 30, 2007 4:55 PM
To: Discussion of Numerical Python
Subject: [Numpy-discussion] Dynamic module not initialized properly
Hello all,
I am having an issue importing numpy on subsequent (I.e. not on first
load
Is there a way to silently install the numpy.exe from a Microsoft DOS
prompt?
Something like: numpy-1.0.2.win32-py2.4.exe -silent
Thanks ahead of time...
MJ
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
[EMAIL
I cant be sure if your issue is related to mine, so I was wondering
where/when you got your numpy build?
My issue:
http://projects.scipy.org/pipermail/numpy-discussion/2007-April/027000.h
tml
Travis has been kind enough to work with me on it. His changes are in
the svn. So, I don't think this
If you do not know the size of your array before you finalize it, then
you should use lists whenever you can. I just cooked up a short
example:
##
import timeit
import numpy as N
values = range(1)
def appendArray(values):
? Thanks so much ahead of time...
MJ
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
mjani...@esri.commailto:mjani...@esri.com
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Goodman kwgood...@gmail.com wrote:
On Tue, Feb 10, 2009 at 11:29 AM, Mark Janikas mjani...@esri.com wrote:
I want to create an array that contains a column of permutations for each
simulation:
import numpy as NUM
import numpy.random as RAND
x = NUM.arange(4.)
res = NUM.zeros((4,100
)` ? Doesn't
it also work without it, or am I missing something in how this works?
Josef
On 2/10/09, Mark Janikas mjani...@esri.com wrote:
Thanks to all for your replies. I want this to work on any vector so I was
thinking this...?
import numpy as np
import timeit
x = np.array([4.,5.,10.,3
, 0.0008
1600, 0.1175, 0.1289, 0.0009
3200, 0.2291, 0.2309, 0.0012
6400, 0.4561, 0.4564, 0.0013
12800, 0.9218, 0.9122, 0.0019
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
mjani...@esri.commailto:mjani...@esri.com
11:49 PM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Timing array construction
Mark Janikas wrote:
Hello All,
I was exploring some different ways to concatenate arrays, and using
c_ is the fastest by far. Is there a difference I am missing that can
account
!
MJ
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Christopher Barker
Sent: Thursday, April 30, 2009 12:16 PM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Timing array construction
Mark Janikas
the arrays... Or do I fill up the
pre-allocated empty arrays and slice off the ends? Thoughts? Thanks much...
MJ
Mark Janikas
Product Engineer
ESRI, Geoprocessing
380 New York St.
Redlands, CA 92373
909-793-2853 (2563)
mjani...@esri.commailto:mjani...@esri.com
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Database with Nulls to Numpy Structure
Mark Janikas wrote:
So, do I use lists and
append then create the arrays... Or do I fill up the pre-allocated empty
arrays and slice off the ends? Thoughts? Thanks much...
Either will work
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