SourceForge logo
SourceForge logo
Menu

matplotlib-users — Discussion related to using matplotlib

You can subscribe to this list here.

2003 Jan
Feb
Mar
Apr
May
(3)
Jun
Jul
Aug
(12)
Sep
(12)
Oct
(56)
Nov
(65)
Dec
(37)
2004 Jan
(59)
Feb
(78)
Mar
(153)
Apr
(205)
May
(184)
Jun
(123)
Jul
(171)
Aug
(156)
Sep
(190)
Oct
(120)
Nov
(154)
Dec
(223)
2005 Jan
(184)
Feb
(267)
Mar
(214)
Apr
(286)
May
(320)
Jun
(299)
Jul
(348)
Aug
(283)
Sep
(355)
Oct
(293)
Nov
(232)
Dec
(203)
2006 Jan
(352)
Feb
(358)
Mar
(403)
Apr
(313)
May
(165)
Jun
(281)
Jul
(316)
Aug
(228)
Sep
(279)
Oct
(243)
Nov
(315)
Dec
(345)
2007 Jan
(260)
Feb
(323)
Mar
(340)
Apr
(319)
May
(290)
Jun
(296)
Jul
(221)
Aug
(292)
Sep
(242)
Oct
(248)
Nov
(242)
Dec
(332)
2008 Jan
(312)
Feb
(359)
Mar
(454)
Apr
(287)
May
(340)
Jun
(450)
Jul
(403)
Aug
(324)
Sep
(349)
Oct
(385)
Nov
(363)
Dec
(437)
2009 Jan
(500)
Feb
(301)
Mar
(409)
Apr
(486)
May
(545)
Jun
(391)
Jul
(518)
Aug
(497)
Sep
(492)
Oct
(429)
Nov
(357)
Dec
(310)
2010 Jan
(371)
Feb
(657)
Mar
(519)
Apr
(432)
May
(312)
Jun
(416)
Jul
(477)
Aug
(386)
Sep
(419)
Oct
(435)
Nov
(320)
Dec
(202)
2011 Jan
(321)
Feb
(413)
Mar
(299)
Apr
(215)
May
(284)
Jun
(203)
Jul
(207)
Aug
(314)
Sep
(321)
Oct
(259)
Nov
(347)
Dec
(209)
2012 Jan
(322)
Feb
(414)
Mar
(377)
Apr
(179)
May
(173)
Jun
(234)
Jul
(295)
Aug
(239)
Sep
(276)
Oct
(355)
Nov
(144)
Dec
(108)
2013 Jan
(170)
Feb
(89)
Mar
(204)
Apr
(133)
May
(142)
Jun
(89)
Jul
(160)
Aug
(180)
Sep
(69)
Oct
(136)
Nov
(83)
Dec
(32)
2014 Jan
(71)
Feb
(90)
Mar
(161)
Apr
(117)
May
(78)
Jun
(94)
Jul
(60)
Aug
(83)
Sep
(102)
Oct
(132)
Nov
(154)
Dec
(96)
2015 Jan
(45)
Feb
(138)
Mar
(176)
Apr
(132)
May
(119)
Jun
(124)
Jul
(77)
Aug
(31)
Sep
(34)
Oct
(22)
Nov
(23)
Dec
(9)
2016 Jan
(26)
Feb
(17)
Mar
(10)
Apr
(8)
May
(4)
Jun
(8)
Jul
(6)
Aug
(5)
Sep
(9)
Oct
(4)
Nov
Dec
2017 Jan
(5)
Feb
(7)
Mar
(1)
Apr
(5)
May
Jun
(3)
Jul
(6)
Aug
(1)
Sep
Oct
(2)
Nov
(1)
Dec
2018 Jan
Feb
Mar
Apr
(1)
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2020 Jan
Feb
Mar
Apr
May
(1)
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2025 Jan
(1)
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
S M T W T F S




1
(3)
2
(9)
3
(4)
4
(1)
5
6
(5)
7
(8)
8
(11)
9
(15)
10
(5)
11
(2)
12
13
(7)
14
(4)
15
(13)
16
(6)
17
(1)
18
19
(16)
20
(10)
21
(13)
22
(13)
23
(3)
24
(1)
25
(3)
26
(4)
27
(1)
28
(6)
29
(6)
30
(1)
31

Showing 9 results of 9

From: John H. <jdh...@ac...> - 2004年07月02日 22:06:47
>>>>> "Sebastian" == Sebastian Haase <ha...@ms...> writes:
 Sebastian> and didn't have any problem. I running debian, where
 Sebastian> 2.95 is still the "standard". Maybe this could be
 Sebastian> changed in CVS - just for one more year or so ;-)
For independent reasons, I already did away with numeric limits in
_transforms.cpp a couple of weeks ago and these changes are in CVS.
If one of you would be willing to try and compile CVS against gcc
2.95.2, I would be interested to hear how it works, and will be happy
to make any required changes.
Thanks,
JDH
From: Todd M. <jm...@st...> - 2004年07月02日 22:03:36
Attachments: ANNOUNCE-1.0
I just released numarray-1.0 and wanted to give you a heads up in case
you miss it in the release notes: numarray-1.0 needs a new windows
binary for matplotlib which is now up on source forge here:
http://prdownloads.sourceforge.net/matplotlib/matplotlib-0.54.2-numarray1.0.win32-py2.3.exe?download
Likewise, UNIX and Mac users that want to use numarray-1.0 need to
reinstall matplotlib (make sure you delete the matplotlib build
directory).
I attached the numarray-1.0 release notes in case you're interested...
Regards,
Todd
From: John H. <jdh...@ac...> - 2004年07月02日 22:02:38
>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> another newbie question. BTW I am learning where to find
 danny> documentation. Most of this stuff isn't in the
 danny> documentation per se, but in the class library, but please
 danny> bare with me.
One place to look is http://matplotlib.sf.net/matlab_interface.html
and the help for the plotting commands listed there. If this case,
you want to see the help for the figure command:
 figure(num = 1, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
 Create a new figure and return a handle to it
 If figure(num) already exists, make it active and return the
 handle to it.
 figure(1)
 figsize - width in height x inches; defaults to rc figure.figsize
 dpi - resolution; defaults to rc figure.dpi
 facecolor - the background color; defaults to rc figure.facecolor
 edgecolor - the border color; defaults to rc figure.edgecolor
One day, hopefully in the not too distant future, I'll have a user's
guide.
JDH
 danny> I am aving big troubles setting figure sizes.
 danny> In a plot command. I have tried plot(...,figsize=(6,8)) and
 danny> plot(...,figsize_inches=(6,8) set(gcf(),'figsize',(6,8))
 danny> set(gcf(),'figsize_inches',(6,8))
 danny> none work for me. OK I'm stumped, what's the right way.
 danny> thanks, Danny
		
 danny> __________________________________ Do you Yahoo!? Yahoo!
 danny> Mail - 50x more storage than other providers!
 danny> http://promotions.yahoo.com/new_mail
 danny> -------------------------------------------------------
 danny> This SF.Net email sponsored by Black Hat Briefings &
 danny> Training. Attend Black Hat Briefings & Training, Las Vegas
 danny> July 24-29 - digital self defense, top technical experts,
 danny> no vendor pitches, unmatched networking
 danny> opportunities. Visit www.blackhat.com
 danny> _______________________________________________
 danny> Matplotlib-users mailing list
 danny> Mat...@li...
 danny> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
From: Trevor P. <tr...@ir...> - 2004年07月02日 21:00:44
>-----Original Message-----
>From: mat...@li...
>[mailto:mat...@li...]On Behalf Of
>Sebastian Haase
>[...]
>Hi Trevor,
>I just substituted like this
>
> if (ignore) {
> minx =3D 1e+308; //orig: std::numeric_limits<double>::max();
> maxx =3D 1e-308; //orig: std::numeric_limits<double>::min();
> }
>
>and didn't have any problem.=20
Thanks - looking at that snippet made me realize I was switched around - =
I was setting minx =3D DBL_MIN and maxx =3D DBL_MAX.
With that fixed, it works fine. =20
I agree this might be a good thing to change in CVS, since this is the =
only thing tripping up a clean compile with gcc 2.95.
Trevor
From: Sebastian H. <ha...@ms...> - 2004年07月02日 20:31:20
On Friday 02 July 2004 01:23 pm, Trevor Perrin wrote:
> Hi,
>
> I'm trying to compile matplotlib-0.54.2 on FreeBSD 4.8, using gcc-2.95.3.
>
> In _transforms.cpp, std::numeric_limits<double>::max() and ::min() aren't
> present, so I've tried replacing them with #include<float.h>, DBL_MIN and
> DBL_MAX.
>
> However, now an error is being raised in ticker.py:get_locator(), line 638:
>
> try: ld = math.log10(d)
> except OverflowError:
> print >> sys.stderr, 'AutoLocator illegal dataInterval
> range %s; returning NullLocator'%d return NullLocator()
>
>
> I.e., the OverflowError is occurring. I'm assuming this is cause of the
> change I made; I can run the same test script under Windows with no
> problems (but the test script is a little too involved for me to paste
> here).
>
> Does anyone have ideas on a better workaround?
>
>
> Trevor
Hi Trevor,
I just substituted like this
 if (ignore) {
 minx = 1e+308; //orig: std::numeric_limits<double>::max();
 maxx = 1e-308; //orig: std::numeric_limits<double>::min();
 }
and didn't have any problem. 
I running debian, where 2.95 is still the "standard". Maybe this could be 
changed in CVS - just for one more year or so ;-)
Cheers,
Sebastian Haase
From: Trevor P. <tr...@ir...> - 2004年07月02日 20:23:39
Hi,
I'm trying to compile matplotlib-0.54.2 on FreeBSD 4.8, using =
gcc-2.95.3. =20
In _transforms.cpp, std::numeric_limits<double>::max() and ::min() =
aren't present, so I've tried replacing them with #include<float.h>, =
DBL_MIN and DBL_MAX.
However, now an error is being raised in ticker.py:get_locator(), line =
638:
 try: ld =3D math.log10(d)
 except OverflowError:
 print >> sys.stderr, 'AutoLocator illegal dataInterval =
range %s; returning NullLocator'%d
 return NullLocator()
I.e., the OverflowError is occurring. I'm assuming this is cause of the =
change I made; I can run the same test script under Windows with no =
problems (but the test script is a little too involved for me to paste =
here).
Does anyone have ideas on a better workaround?
Trevor
From: danny s. <dan...@ya...> - 2004年07月02日 15:33:59
another newbie question. BTW I am learning where to find documentation.
Most of this stuff isn't in the documentation per se, but in the class
library, but please bare with me. 
I am aving big troubles setting figure sizes.
In a plot command. I have tried
plot(...,figsize=(6,8)) and
plot(...,figsize_inches=(6,8)
set(gcf(),'figsize',(6,8))
set(gcf(),'figsize_inches',(6,8))
none work for me. OK I'm stumped, what's the right way.
thanks,
Danny
		
__________________________________
Do you Yahoo!?
Yahoo! Mail - 50x more storage than other providers!
http://promotions.yahoo.com/new_mail
From: John H. <jdh...@ac...> - 2004年07月02日 14:00:27
>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> newbie question alert. Is there a way to thicken the
 danny> plotlines on a plot? I'm currently using fmt='k^-' and am
 danny> trying to make transparencies. I want the plotlines to show
 danny> up better. Any way to do this?
Hi Danny,
You may want to take a look at
http://matplotlib.sf.net/tutorial.html#lineprops which shows several
ways of setting linewidths and other line properties. In addition to
the way Gary showed, you can also use keyword arguments
plot(x ,y, linewidth=2.0)
The default linewidth is controlled by the lines.linewidth property in
your matplotlibrc file -- see http://matplotlib.sf.net/.matplotlibrc.
JDH
From: Gary R. <ga...@em...> - 2004年07月02日 01:39:15
Here's a snippet done on errorbars which should point you in the right direction:
l1,e1=errorbar(m, t, [tN, tP], fmt='rD-', ecolor=(.5,.5,.5), capsize=3)
set(e1,"linewidth",1,"markeredgewidth",1)
set(l1,"linewidth",2,"markersize",5,"markerfacecolor",'k',"markeredgecolor",'k')
----- Original Message -----
From: danny shevitz <dan...@ya...>
Date: Thu, 1 Jul 2004 10:05:55 -0700 (PDT)
To: matplotlib <mat...@li...>
Subject: [Matplotlib-users] thickening plotlines
> newbie question alert.
> 
> Is there a way to thicken the plotlines on a plot? I'm currently using
> fmt='k^-' and am trying to make transparencies. I want the plotlines to
> show up better. Any way to do this?
> 
> TIA,
> Danny
> unmatched networking opportunities. Visit www.blackhat.com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
_______________________________________________
Talk More, Pay Less with Net2Phone Direct(R), up to 1500 minutes free! 
http://www.net2phone.com/cgi-bin/link.cgi?143 

Showing 9 results of 9

Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.
Thanks for helping keep SourceForge clean.
X





Briefly describe the problem (required):
Upload screenshot of ad (required):
Select a file, or drag & drop file here.
Screenshot instructions:

Click URL instructions:
Right-click on the ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Ad destination/click URL:

AltStyle によって変換されたページ (->オリジナル) /