On 5 February 2013 05:08, eryksun wrote:
> On Mon, Feb 4, 2013 at 7:21 PM, Oscar Benjamin
> wrote:
>> eigenvalues, eigenvectors = np.linalg.eig(C)
>
> First sort by eigenvalue magnitude:
>
> >>> idx = np.argsort(eigenvalues)[::-1]
> >>> print idx
> [ 0 1 2 3 8 10 11 12 14 22 20 21
On Mon, Feb 4, 2013 at 7:21 PM, Oscar Benjamin
wrote:
> eigenvalues, eigenvectors = np.linalg.eig(C)
First sort by eigenvalue magnitude:
>>> idx = np.argsort(eigenvalues)[::-1]
>>> print idx
[ 0 1 2 3 8 10 11 12 14 22 20 21 18 19 23 24 17 16 15 13 9 7 5 6 4]
>>> eigenva
On 4 February 2013 06:24, Gayathri S wrote:
> Hi All!
> If i have data set like this means...
>
> 3626,5000,2918,5000,2353,2334,2642,1730,1687,1695,1717,1744,593,502,493,504,449,431,444,444,429,10
> 438,498,3626,3629,5000,2918,5000,2640,2334,2639,1696,1687,1695,1717,1744,592,502,49
> How to do PCA on this data? if it is in array how to do that? and also how
> to use princomp() in PCA?
Principal component analysis,
http://en.wikipedia.org/wiki/Principal_component_analysis
may not be "built in". Do you know for sure that it is? According to
this blog entry, you can do
On 04/02/13 17:24, Gayathri S wrote:
Hi All!
If i have data set like this means...
3626,5000,2918,5000,2353,2334,2642,[...],496.
No need to dump your entire data set on us. Just a few representative
values will do.
How to do PCA on this data? if it is in array how to do tha
On 04/02/13 06:24, Gayathri S wrote:
Hi All!
If i have data set like this means...
3626,5000,2918,5000,2353,2334,2642,1730,1687,1695,1717,1744,593,502,493,504,449,431,444,444,429,10
...
458,5022,3640,3644,5000,2922,5000,2346,2321,2628,1688,1666,1674,1696,744,590,496.
How to d
Hi All!
If i have data set like this means...
3626,5000,2918,5000,2353,2334,2642,1730,1687,1695,1717,1744,593,502,493,504,449,431,444,444,429,10
438,498,3626,3629,5000,2918,5000,2640,2334,2639,1696,1687,1695,1717,1744,592,502,493,504,449,431,444,441,429,10
439,498,3626,3629,5000,29
On 1/30/2013 1:51 AM, Gayathri S wrote:
I am sorry that you chose to ignore my request to start a new email with
a relevant subject.
Please next time do so.
The easier you make it for us to help you the more likely we will want
to help.
--
Bob Gailer
919-636-4239
Chapel Hill NC
__
missed a parenthesis, it should look like -
with open(, ) as :
//operation with the file.
On Wed, Jan 30, 2013 at 12:31 PM, wrote:
> A safer approach would be -
> with open(, as :
> //operation with the file.
>
> This way, you do not have to remember to close the file explicitly.
>
>
> On Wed,
A safer approach would be -
with open(, as :
//operation with the file.
This way, you do not have to remember to close the file explicitly.
On Wed, Jan 30, 2013 at 12:27 PM, Dave Angel wrote:
> On 01/30/2013 01:51 AM, Gayathri S wrote:
>
>> Hi All!
>> I don't know how to
On 01/30/2013 01:51 AM, Gayathri S wrote:
Hi All!
I don't know how to read text file in python. If the data
values are stored in a text file format, for example(1,30,60,90,120...200)
means what i would do for reading it in python. could you just explain it.
infile = open
Hi All!
I don't know how to read text file in python. If the data
values are stored in a text file format, for example(1,30,60,90,120...200)
means what i would do for reading it in python. could you just explain it.
Thanks!
Keep Smiling.[?]
Regards...
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