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
(10)
2
(6)
3
(13)
4
(3)
5
(10)
6
(4)
7
(2)
8
(15)
9
(10)
10
(44)
11
(17)
12
(9)
13
(2)
14
(2)
15
(4)
16
(8)
17
(13)
18
(11)
19
(12)
20
21
22
(10)
23
(10)
24
(11)
25
(11)
26
(9)
27
(1)
28
29
(15)
30
(14)
31
(7)



Showing 4 results of 4

From: John H. <jdh...@ac...> - 2005年08月15日 15:28:11
>>>>> "Darren" == Darren Dale <dd...@co...> writes:
 Darren> You can set the formatter back to the old behavior like
 Darren> this:
 Darren> from ticker import OldScalarFormatter a=axes()
 Darren> a.yaxis.set_major_formatter(OldScalarFormatter())
But will that help? It will still fall over to exponential notation
at 1e4. Perhaps a custom formatter will work better for you, eg
examples/custom_ticker1.py.
JDH
From: Darren D. <dd...@co...> - 2005年08月15日 15:05:27
On Monday 15 August 2005 10:18 am, Maria Khomenko wrote:
> Hi,
>
> I noticed that the default scalar formatter turns on scientific notation
> once the numbers are over 10000. I was wondering if there is a way to turn
> off this option
> or at least change the settings to give matplotlib a different cut-off
> point for switching into scientific notation.
>
> I would appreciate some help with this,
You can set the formatter back to the old behavior like this:
from ticker import OldScalarFormatter
a=axes()
a.yaxis.set_major_formatter(OldScalarFormatter())
-- 
Darren S. Dale
Bard Hall
Department of Materials Science and Engineering
Cornell University
Ithaca, NY. 14850
dd...@co...
http://people.ccmr.cornell.edu/~dd55/
From: Maria K. <mar...@ut...> - 2005年08月15日 14:18:50
Hi,
I noticed that the default scalar formatter turns on scientific notation once
the numbers are over 10000. I was wondering if there is a way to turn off this
option 
or at least change the settings to give matplotlib a different cut-off point for
switching into scientific notation. 
I would appreciate some help with this,
Thanks,
Maria
From: Ryan K. <rya...@co...> - 2005年08月15日 01:54:39
Sorry, I answered this one but did not reply to all, so it didn't go to 
the list. The equivalent matplotlib functions are xlim and ylim.
Ryan
John Hunter wrote:
>>>>>>"Nils" == Nils Wagner <nw...@me...> writes:
> 
> 
> Nils> Hi all, How can I replace xplt.limits(xl,xu,yl,yu) in
> Nils> matplotlib ?
> 
> Can you describe how this function performs and what the arguments
> mean? Not all matplotlib users know scipy.xplt.
> 
> JDH
> 
> 
> -------------------------------------------------------
> SF.Net email is Sponsored by the Better Software Conference & EXPO
> September 19-22, 2005 * San Francisco, CA * Development Lifecycle Practices
> Agile & Plan-Driven Development * Managing Projects & Teams * Testing & QA
> Security * Process Improvement & Measurement * http://www.sqe.com/bsce5sf
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 

Showing 4 results of 4

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) /