Hi,
I have just noticed that I did not change the title of my question. So I resend
it out. Sorry for the mistake. Here is my question.
I have a big 2 column data file where the data are repeated either 5 or 6
times. Are there any quick way to remove the duplicated data?
Thanks
Fran
Hi,
I have a big 2 column data file where the data are repeated either 5 or 6
times. Are there any quick way to remove the duplicated data?
Thanks
Frank
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Hi, Bob,
Thanks. This solution works great. It really helps me a lot.
Frank> Date: Fri, 30 Jan 2009 23:08:35 -0600> From: robert.k...@gmail.com> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] help on fast
slicing on a grid> > On Fri, Jan 30, 2009 at
slicing on a grid> > On Fri, Jan 30, 2009 at 12:58, frank wang
wrote:> > I have created a test example for the question
using for loop and hope> > someone can help me to get fast solution. My data
set is about 200 data.> >> > However, I have the problem to run
) Thanks Frank>
Date: Thu, 29 Jan 2009 00:15:48 -0600> From: robert.k...@gmail.com> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] help on fast
slicing on a grid> > On Thu, Jan 29, 2009 at 00:09, frank wang
wrote:> > Here is the for loop that I am think about
ast
slicing on a grid> > On Thu, Jan 29, 2009 at 00:09, frank wang
wrote:> > Here is the for loop that I am think about. Also,
I do not know whether the> > where commands can handle the complicated logic.>
> The where command basically find the data in the square
ipy.org> Subject: Re: [Numpy-discussion] help on fast
> slicing on a grid> > On Wed, Jan 28, 2009 at 23:52, frank wang
> wrote:> >> > Hi,> >> > I have to buidl a grid with 256
> point by the command:> > a = arange(-15,16,2)> > L = len(a)&g
Hi,
I have to buidl a grid with 256 point by the command:
a = arange(-15,16,2)
L = len(a)
cnstl = a.reshape(L,1)+1j*a
My problem is that I have a big data array that contains the data round the
points in cnstl. I want to slice the point to the closest cnstl point and also
compute the error.
On my two systems with Intel Core2 DUO, finfo(float128) gives me the nameerro,
"NameError: name 'float128' is not defined". Why?
Thanks
Frank> Date: Tue, 9 Dec 2008 21:10:32 -0600> From: [EMAIL PROTECTED]> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] Importance of order
w
e the memory?> > On Mon, Dec 8, 2008 at 19:15, frank wang
<[EMAIL PROTECTED]> wrote:> > Hi,> >> > I have a program with some variables
consume a lot of memory. The first time> > I run it, it is fine. The second
time I run it, I will get MemoryError. If I> &
Hi,
I have a program with some variables consume a lot of memory. The first time I
run it, it is fine. The second time I run it, I will get MemoryError. If I
close the ipython and reopen it again, then I can run the program once. I am
looking for a command to delete the intermediate variable
Dec 8, 2008 at 11:27, frank wang <[EMAIL
PROTECTED]> wrote:> > Hi,> >> > I want to create a matrix based on a vector. It
is difficult to describe the> > issue for me in english. Here is an example.>
>> > Suppose I have an array([3, 6, 8, 12]), I want
Hi,
I want to create a matrix based on a vector. It is difficult to describe the
issue for me in english. Here is an example.
Suppose I have an array([3, 6, 8, 12]), I want to create a range based on each
element. In this exampe, let us say want to create 4 number with step 2, so I
will ha
o:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] fast way to
convolve a 2d array with 1d filter> > Hi Frank> > > 2008/12/2 frank wang
<[EMAIL PROTECTED]>:> > I need to convolve a 1d filter with 8 coefficients with
a 2d array of the> > shape (6,7). I c
Hi,
I need to convolve a 1d filter with 8 coefficients with a 2d array of the shape
(6,7). I can use convolve to perform the operation for each row. This will
involve a for loop with a counter 6. I wonder there is
an fast way to do this in numpy without using for loop. Does anyone know how to
Hi,
I have a large array and I want to convert it into a binary array. For exampe,
y=array([1,2,3]), after the convertion I want the result
array([0,0,0,1,0,0,1,0,0,0,1,1]). Each digit is converted into 4 bits in this
example. In my real problem I want to convert each digit to 8 bits. My data
ll(value) -> None. Fill the array
with the scalar value.> > The method modifies the array, but does not return
it.> > Matthieu> > 2008/11/18 frank wang <[EMAIL PROTECTED]>:> > Hi,> >> > My
numpy is 1.2.1 and python is 2.5.2.> >> > In pyt
Hi,
My numpy is 1.2.1 and python is 2.5.2.
In python, I did:
from numpy import *
x=array([1,2,3])
z=x.fill(x)
print z
None
z should be filled with zero. I do not knwo why I got None. Can anyone help me
on this?
Thanks
Frank
Hi,
Can you provide a working example to build Numpy with MKL in window and linux?
The reason I am thinking to build the system is that I need to make the speed
match with matlab.
Thanks
frank> Date: Thu, 13 Nov 2008 11:39:42 +0100> From: [EMAIL PROTECTED]> To:
numpy-discussion@scipy.org
Hi,
>From www.scipy.org web site, I tried to print the "Numpy Example List with
>Doc". Even though I can read the document on the computer, but when I printed,
>except of the first few pages, all pages printed empty.
Does anyone know the reason?
Thanks
Frank
Hi,
I need to perform iir filter operation using numpy and could not googled any
useful info for this. Are there filter operation similar the matlab filter
funciton in Numpy?
Thanks
Frank
_
Color coding for safety: Windows Liv
[Numpy-discussion] help to speed up
the python code> > On Fri, Oct 24, 2008 at 11:30, frank wang <[EMAIL
PROTECTED]> wrote:> > Hi,> >> > I have to send this request second time since
my first message contains the> > attached data file which is too big and wa
Hi,
In my work, I want to implement a fir filter with an input array. Since
performing the filter on each input sample is slow, are there fast way to
perform the fir filter operation? Are there ways to convert input into an
array and perform the array multipication?
Thanks
Frank
Hi,
I have to send this request second time since my first message contains the
attached data file which is too big and was blocked by the system. So this time
I will not attach the data file.
I have converted a matlab function to python using numpy. both matlab and
python run slow. I know
Hi,
I have a large ndarray that I want to dump to a file. I know that I can use a
for loop to write one data at a time. Since Python is a very powerfully
language, I want to find a way that will dump the data fast and clean. The data
can be in floating point or integer.
Thanks
Frank
_
es with 1> > but on my machine the numpy version takes about 20
> sec for a 'foo' file > of 2,500,000 lines versus 1.2 sec for the pure python
> version...> > As a side note, if i replace "line == '1 1\n'" with
> "line.startswith('1 >
Hi,
I have a large data file which contains 2 columns of data. The two columns only
have zero and one. Now I want to cound how many one in between if both columns
are one. For example, if my data is:
1 0
0 0
1 1
0 0
0 1x
0 1x
0 0
0 1x
1 1
0 0
0 1x
0 1x
1 1
Then my
appreciate the help I got from the forum.
Frank> Date: Mon, 29 Sep 2008 20:22:14 -0500> From: [EMAIL PROTECTED]> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] Are there command
similar as Matlab find command?> > On Mon, Sep 29, 2008 at 20:16, frank wang
t')
(Pdb)
It does not return any result.
Frank> Date: Mon, 29 Sep 2008 16:48:23 -0500> From: [EMAIL PROTECTED]> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] Are there command
similar as Matlab find command?> > frank wang wrote:> > Hi,> > >
D]> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] loadtxt error> >
2008/9/24 frank wang <[EMAIL PROTECTED]>:> > Thank you very much for all of
you. I have downloaded the binary version> > 1.2rc and it fixed the problem.>
>> > My special th
Hi, All,
I am using ipython with --pylab flag. ipython loads the numpy into the
workspace, so I do not know abs is from python or numpy. The weird thing is if
I execute the code line by line, I do not have any speed problem. But when I
combine them together into one command, it slowdonws the
Thank you very much for all of you. I have downloaded the binary version 1.2rc
and it fixed the problem.
My special thanks to the person who created the window binary version for users
who do not know or do not have the capacity to build the numpy from source.
Frank> Date: Wed, 24 Sep 200
Hi, I am new user from matlab world. So I always compare with matlab. in my
code, i have a large array with about 10 data. when I perform
c=fft(b)
d=abs(c)
plot(d)
I got good response. however, when i try to execute:
plot(abs(fft(b)))
it takes forever and i have to kill the operation.
e-packages\numpy\lib\io.py(339)loadtxt()338 if
usecols:--> 339 i = usecols.find(i)340 converters[i] =
conv
Thanks
Frank> From: [EMAIL PROTECTED]> To: numpy-discussion@scipy.org> Date: Mon, 22
Sep 2008 20:10:11 -0400> Subject: Re: [Numpy-discussion] lo
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 not know
yours. I do not know why it is working for
you.> Date: Mon, 22 Sep 2008 22:13:18 +0200> From: [EMAIL PROTECTED]> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] loadtxt error> >
2008/9/22 frank wang <[EMAIL PROTECTED]>:> > It will load an array ha
=
conv
This command is the same as yours. I do not know why it is working for you.>
Date: Mon, 22 Sep 2008 22:13:18 +0200> From: [EMAIL PROTECTED]> To:
numpy-discussion@scipy.org> Subject: Re: [Numpy-discussion] loadtxt error> >
2008/9/22 frank wang <[EMAIL PROTEC
Hi, All,
I am struggling to make the loadtxt works. In my file, I have several colunms
of data, say I have two. When I use the following command to load the data,
fid=loadtxt('filename.csv',comments='"',dtype='|S4',converters={0:lambda
s:int(s,16)})
It will load an array has two columns.
ay (hex data) to decimal?> > frank wang wrote:>
> > > > > > > Hi, All,> > > > > > > > > > > > I have found a bug in the loadtxt
function. Here is the example. The > > file name is test.txt and contains:> > >
>
Hi, All,
I have found a bug in the loadtxt function. Here is the example. The file name
is test.txt and contains:
"Thist is test"
3FF 3fE
3Ef 3e8
3Df 3d9
3cF 3c7
In the Python 2.5.2, I type:
test=loadtxt('test.txt',comments='"',dtype='string',converters={0:lambda
s:int(s,16)})
test will
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