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





Showing 3 results of 3

From: Jody K. <jk...@uv...> - 2014年03月07日 21:05:30
Hi all,
I have some pcolormesh data that is in a thin strip along a slope at a (say) 45 degree angle. Is there a way to set up a view of data just within dz of the slope, following the slope? I would then stack successive views of this data. 
I tentatively tried something like:
pcm=pcolormesh(x,z,Ep,rasterized=True,cmap=jet,vmin=-13,vmax=-5)
rect = Rectangle((1,-8),10,4, facecolor="none", edgecolor="k",angle=-45)
gca().add_artist(rect)
pcm.set_clip_path(rect) 
But that doesn't clip properly. 
Note, I don't really want to rotate the data (that would be easy enough). I'd still prefer there was the sense of a slope relative to the horizontal. 
Thanks for any thoughts...
Cheers, Jody
From: Eric F. <ef...@ha...> - 2014年03月07日 20:15:22
On 2014年03月06日 10:43 PM, svebert wrote:
> Hi!
>
> I plot measurment data and connect them with lines (style eg. "-*r"). Points
> which are outside of the ylimits are still connected with points which are
> inside of the ylimits. Is there any way to tell matplot to only connect two
> points if both are inside the y/x-limits?
> Because now i get weird lines crossing the whole canvas if some points
> spread to much from the mean data.
>
> Removing points before plotting is not an option because then points are
> connected which are not in consecutive order. Matplotlib should just skip a
> connecting line when one of the two points lies without the canvas/limits.
It sounds like what you need to do is either use a masked array and mask 
out the points that are outside the limits, or use NaNs for that purpose.
Eric
>
> Is there any simple way/option to do tha?
>
> Thanks in advance,
> Sven
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Clip-or-skip-lines-going-over-border-of-canvas-tp43015.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
> ------------------------------------------------------------------------------
> Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce.
> With Perforce, you get hassle-free workflows. Merge that actually works.
> Faster operations. Version large binaries. Built-in WAN optimization and the
> freedom to use Git, Perforce or both. Make the move to Perforce.
> http://pubads.g.doubleclick.net/gampad/clk?id=122218951&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
From: svebert <se...@fl...> - 2014年03月07日 08:43:32
Hi!
I plot measurment data and connect them with lines (style eg. "-*r"). Points
which are outside of the ylimits are still connected with points which are
inside of the ylimits. Is there any way to tell matplot to only connect two
points if both are inside the y/x-limits?
Because now i get weird lines crossing the whole canvas if some points
spread to much from the mean data.
Removing points before plotting is not an option because then points are
connected which are not in consecutive order. Matplotlib should just skip a
connecting line when one of the two points lies without the canvas/limits.
Is there any simple way/option to do tha?
Thanks in advance,
Sven 
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Clip-or-skip-lines-going-over-border-of-canvas-tp43015.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Showing 3 results of 3

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) /