matplotlib-users Mailing List for matplotlib

Thanks.  Exactly what I was looking for.

Merry Xmas!

CS


On Thu, Dec 23, 2004 at 11:00:41PM -0800, Andrew Straw wrote:
> seb...@sp... wrote:
>
> >Attached is a pcolor plot made with Matplotlib.
> >
> >I was wondering if there is any way I can remove
> >thin black lines (borders) in this plot for cases
> >like this where I don't have zillions of rectangles
> >to make black lines too small to notice.
> >
> >
> >
> Does the docstring for pcolor help?
>
>      * shading = 'flat' : or 'faceted'.  If 'faceted', a black grid is
>        drawn around each rectangle; if 'flat', edge colors are same as
>        face colors
>
> Try
>
> pcolor( your_other_args, shading='flat')
>
> Cheers!
> Andrew
>

--
_______________________________________

Christian Seberino, Ph.D.
SPAWAR Systems Center San Diego
Code 2872
49258 Mills Street, Room 158
San Diego, CA 92152-5385
U.S.A.

Phone: (619) 553-9973
Fax  : (619) 553-6521
Email: seb...@sp...
_______________________________________

Stephen Walton wrote:

>On Wed, 2004-12-22 at 17:30 -0600, John Hunter wrote:
>
>  
>
>> - 4x image speedups for large images
>>    
>>
>
>This is a biggie!!  Ladies and gentlemen, my impression is that imshow
>is now at least as fast as, and perhaps faster than, DS9 for
>astronomical image display.  (I'm looking at 1024 square full disk solar
>images.)  Nice job, John.
>  
>
I therefore propose that we start developing a Python version of DS9. 
The benefits of a Python version based on matplotlib are TrueType fonts 
(with arbitrary text rotation), alpha blending, and direct support for 
numarray.

 -- Paul

-- 
Paul Barrett, PhD      Space Telescope Science Institute
Phone: 410-338-4475    ESS/Science Software Branch
FAX:   410-338-4767    Baltimore, MD 21218

seb...@sp... wrote:

>Attached is a pcolor plot made with Matplotlib.
>
>I was wondering if there is any way I can remove
>thin black lines (borders) in this plot for cases
>like this where I don't have zillions of rectangles
>to make black lines too small to notice.
>
>  
>
Does the docstring for pcolor help?

      * shading = 'flat' : or 'faceted'.  If 'faceted', a black grid is
        drawn around each rectangle; if 'flat', edge colors are same as
        face colors

Try

pcolor( your_other_args, shading='flat')

Cheers!
Andrew

Attached is a pcolor plot made with Matplotlib.

I have lots of rectangles of different colors which
Matplotlib created wonderfully which was exactly
what I was trying to do.

(I have 400 rectangles across the plot in horizontal
direction.)

It appears there are small black borders (padding?) to all little
colored rectangles that make the plot appear more
choppy and less 'blended' in color than I would prefer.
It may be that I *must* have more rectangles to make
these black borders be invisible.

I was wondering if there is any way I can remove
thin black lines (borders) in this plot for cases
like this where I don't have zillions of rectangles
to make black lines too small to notice.

Chris


--
_______________________________________

Christian Seberino, Ph.D.
SPAWAR Systems Center San Diego
Code 2872
49258 Mills Street, Room 158
San Diego, CA 92152-5385
U.S.A.

Phone: (619) 553-9973
Fax  : (619) 553-6521
Email: seb...@sp...
_______________________________________

Hi All,

I am fairly new to matplotlib, and I am impressed with its
capabilities.

I have trouble plotting loglog plots with errorbars. I have
the following, program, a slightly modified version of one
given earlier by JDH on 9-28-2004 in this mailing list:
------------------------------------------------------
from matplotlib.matlab import *
import random

random.seed(13)
## with 10 elements it works
## but with 11 elements it crashes
x = arange(1.0,12)
y = array(map(lambda s:1e6*random.random()+1e5+1,x))
err = array(map(lambda s:1e5*random.random(),x))

print x,y,err
print y-err
ax = gca()
errorbar(x,y,err,fmt='o')
##plot(x,y)
ax.set_yscale("log")
ax.set_xscale("log")
show()
-------------------------------------------------------
The weird thing is that it runs with 10 points, but not
with 11 or more. I guess the random generator happens to generate
a configuration which breaks the routine. I did check
that everything is positive (BTW, it would be great to have
a version which simply ignores negative/0 values), the last
point does not seem special, I can't figure out what's going on.

I run matplotlib 0.64 (sorry I did not convert to pylab yet),
on python 2.3.4/gcc 3.3.1 under a fairly new cygwin installation in
WinXP SP2.

any clue anybody?

thanks, I.
ps. Merry Xmas/Happy Holidays to everybody!
-----------------------------------------------------------
Istvan Szapudi
Institute for Astronomy
University of Hawaii
2680 Woodlawn Drive
Honolulu, HI 96822
USA
Tel. :  (808) 956-6196 (also x9844 in Febr/March)
Fax  :  (808) 956-9590
Email: sz...@if...
WWW  : http://www.ifa.hawaii.edu/~szapudi/istvan.html
-----------------------------------------------------------