Yes!
matplotlib is beautiful. Thanks everybody for your help.

On 7/18/07, Angus McMorland <[EMAIL PROTECTED]> wrote:

Hi Armando,

On 18/07/07, Armando Serrano Lombillo <[EMAIL PROTECTED]> wrote:
> Hello, I have a question.
>
> Let's say I have the following data:
> [1,3,6,1,2,0,0,0,0,1,4,7,9,4,2,4,6,0,0,0,0,0,0,0,0,0,0,0,0,1,3,5,6,7,8]
> which I want to plot, but I want to omit the zeros, so I would like to
do
> something like:
> plot(range(1,6), [1,3,6,1,2], 'b')
> plot(range(10,18), [1,4,7,9,4,2,4,6], 'b')
> plot(range(30,36), [1,3,5,6,7,8], 'b')
> savefig('filtered.eps')
>
> Is there an elegant way of doing this?

Do masked arrays achieve what you want?

from numpy.core import ma
data = n.array
([1,3,6,1,2,0,0,0,0,1,4,7,9,4,2,4,6,0,0,0,0,0,0,0,0,0,0,0,0,1,3,5,6,7,8])
masked_data = ma.masked_array(data, mask=(dat==0))
plot(masked_data)

Angus.
--
AJC McMorland, PhD Student
Physiology, University of Auckland

-------------------------------------------------------------------------
This SF.net email is sponsored by DB2 Express
Download DB2 Express C - the FREE version of DB2 express and take
control of your XML. No limits. Just data. Click to get it now.
http://sourceforge.net/powerbar/db2/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

-------------------------------------------------------------------------
This SF.net email is sponsored by DB2 Express
Download DB2 Express C - the FREE version of DB2 express and take
control of your XML. No limits. Just data. Click to get it now.
http://sourceforge.net/powerbar/db2/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to