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
(11)
2
(1)
3
(5)
4
(25)
5
(14)
6
(36)
7
(13)
8
(15)
9
10
(5)
11
(5)
12
(11)
13
(15)
14
(9)
15
(16)
16
(3)
17
(13)
18
(7)
19
(9)
20
(12)
21
(2)
22
(6)
23
24
(2)
25
(1)
26
(16)
27
(7)
28
(11)
29
(8)
30
(1)

Showing results of 277

1 2 3 .. 12 > >> (Page 1 of 12)
From: Bill D. <wjd...@at...> - 2006年09月30日 14:01:53
In the finance .py example, the plots that use collections have integers
plotted on the x-axis.
How do you get dates for x-axis labels?
Bill
From: Eric F. <ef...@ha...> - 2006年09月29日 22:16:30
zh...@um... wrote:
> How to get the following through? Thanks
> 
> 
> import matplotlib.axes3d as p3
> 
> Traceback (most recent call last):
> File "<pyshell#19>", line 1, in -toplevel-
> import matplotlib.axes3d as p3
> File "C:\Python24\lib\site-packages\matplotlib\axes3d.py", line 26, in
> -toplevel-
> import art3d
> File "C:\Python24\lib\site-packages\matplotlib\art3d.py", line 17, in
> -toplevel-
> import proj3d
> File "C:\Python24\lib\site-packages\matplotlib\proj3d.py", line 21, in
> -toplevel-
> cross = nx.cross
> AttributeError: 'module' object has no attribute 'cross'
I don't see that line in the current version, so it looks like you need 
to update your matplotlib installation.
Eric
From: <zh...@um...> - 2006年09月29日 18:39:08
How to get the following through? Thanks
import matplotlib.axes3d as p3
Traceback (most recent call last):
 File "<pyshell#19>", line 1, in -toplevel-
 import matplotlib.axes3d as p3
 File "C:\Python24\lib\site-packages\matplotlib\axes3d.py", line 26, in
-toplevel-
 import art3d
 File "C:\Python24\lib\site-packages\matplotlib\art3d.py", line 17, in
-toplevel-
 import proj3d
 File "C:\Python24\lib\site-packages\matplotlib\proj3d.py", line 21, in
-toplevel-
 cross = nx.cross
AttributeError: 'module' object has no attribute 'cross'
Second sending (to list instead of gmane) - sorry if this gets through 
twice, but sent it yesterday and until this morning would not see it. I 
am including indiv. files instead of zip (maybe zip's are blocked?).
Just downloaded the latest build to start testing my things with Python 2.5.
I also installed the examples.zip for 87.1 and found that they were
still using "from wxPython import *" which is deprecated as of wxPython
2.7. I upgraded some of them to "import wx" and included them in the
attached zip file, there are some (using XRC which I did not upgrade as
I don't know how the XRC stuff works, it also uses the old style import).
Note that the "dynamic_image_wxagg.py" example does not close when
clicking on the "X". Will keep looking and try to figure out why.
Some of these examples give me the "wxmsg26uh_vc.dll" not found error.
I thought having seen some messages explaining how to deactive the use
of unibol version of wxPython but can't find it.
BTW, will there be a build for Python 2.5 and wxPython 2.7 Unibol (which
is what I used for testing - see below)?
Best regards
Werner
P.S. version info:
# Python 2.5 (r25:51908, Sep 19 2006, 09:52:17) [MSC v.1310 32 bit (Intel)]
# wxPython 2.7.0.1pre.20060923, Boa Constructor 0.4.4
From: Christian M. <mee...@un...> - 2006年09月29日 07:56:08
On Friday 29 September 2006 07:50, Jouni K Seppanen wrote:
> Stefan van der Walt <st...@su...> writes:
> > plot(x,y,'o',markerfacecolor='w')
>
> This makes circles filled with white. If you want circles that don't
> obscure whatever is behind them, use markerfacecolor=None.
Jouni, Bill, thank you both for the warning / reminder. I guess Stefan's 
snippet was merely meant as an example to stimulate my memory :-).Everybody 
seeing such an example will start to tinker around and try several things - 
as I did.
Cheers
Christian
From: Jouni K S. <jk...@ik...> - 2006年09月29日 05:51:25
Stefan van der Walt <st...@su...> writes:
> plot(x,y,'o',markerfacecolor='w')
This makes circles filled with white. If you want circles that don't
obscure whatever is behind them, use markerfacecolor=None.
-- 
Jouni
Hi,
Is there any way to plot two graphs in two different windows at the same
time? The reason for doing this is that I wanted to update a graph
automatically in a for loop, but it turned out that the first figure has
to closed manually. Any suggestion for that is also greatly appreciated.
Best Regards, John
From: John H. <jdh...@ac...> - 2006年09月29日 01:54:24
>>>>> "Christian" == Christian Meesters <mee...@un...> writes:
 Christian> One last remark on this: Since so many journals demand
 Christian> this, would it be worth a feature request? (I don't
 Christian> have the time nor the skills to work on this.) One may
 Christian> think of this as one wishes (don't like these
 Christian> publishing companies and their demands, either), but
 Christian> matplotlib wants to enable its users to produce figures
 Christian> ready for publication, right?
Certainly -- just add a feature request to the sf site and post the
same to the users or devel list. Can't promise that we have the time
either (though we may have the skills) but maybe someone will take it
up. Darren Dale has done the most work of late on the PS backend and
he is currently on vacation -- maybe when he returns he'll take it up.
JDH
From: <dd...@ja...> - 2006年09月29日 01:40:42
On Thursday 28 September 2006 1:24 pm, Christian Meesters wrote:
> Hi,
>
> I'd like to plot experimental data points with fitted data through
> it. This time best would be to plot hollow circles for the
> experimental data. Pretty much like literal 'o's (except, of
> course, that passing 'o' results in thick circles).
> Is this possible somehow?
Hi Christian,
I've been using the Rectangle class in patches to plot unfilled 
rectangles. Circle and Polygon classes are also available that you 
may find useful.
You can control the filling, the colors of the faces and edges, and 
the thickness of the edges.
Here's an example for an unfilled red rectangle.
from matplotlib.patches import Rectangle
...
...
fig=figure(figsize=(W,H))
ax = fig.add_axes([left,bottom,width,height]) 
p=Rectangle([x,y], 4.0, 0.6, fill=False, linewidth=1, edgecolor="red")
ax.add_patch(p)
-Cheers
From: Theodore R D. <dr...@jp...> - 2006年09月28日 21:56:26
FYI I don't know what the current state of affairs was but I
looked into this a little bit about 5 or so years ago. Adobe has
a spec for what the preview image in an EPS file is suppose to be
(I can't remember the details on what it is but you can google
for the EPS spec) but I don't think anyone really followed it. 
On Mac's, everything produced a PICT image and on Windows
everything produced something else (I forget exactly what it
was). In short, at the time I checked it out, it was very
difficult to make a high quality preview image that would work
well on a Mac and a Windows box. 
It would be nice if things were different now. We do a lot of
plotting that ends up in presentations and it would be nice if
you could embed an EPS in the presentation with a high quality
preview.
Ted
---------Included Message----------
>Date: 28-sep-2006 14:04:55 -0700
>From: "Christian Meesters" <mee...@un...>
>To: <mat...@li...>
>Subject: Re: [Matplotlib-users] eps file format
>
>> As for the preview header, I suspect there arte 3rd part tools
that
>> can do this (ImageMagick?). We should be able to do it
ourself with
>> agg, but it would require someone to dig in and figure out the
spec.
>>
>> JDH
>One last remark on this: Since so many journals demand this,
would it be worth 
>a feature request? (I don't have the time nor the skills to work
on this.) 
>One may think of this as one wishes (don't like these publishing
companies 
>and their demands, either), but matplotlib wants to enable its
users to 
>produce figures ready for publication, right?
>
>Christian 
>
>-------------------------------------------------------------------------
>Take Surveys. Earn Cash. Influence the Future of IT
>Join SourceForge.net's Techsay panel and you'll get the chance
to share your
>opinions on IT & business topics through brief surveys -- and
earn cash
>http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
>_______________________________________________
>Matplotlib-users mailing list
>Mat...@li...
>https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
---------End of Included Message----------
From: Christian M. <mee...@un...> - 2006年09月28日 21:24:01
>
> I'm sure someone will soon provide you with an insightful answer. In
> the meantime, you can fudge it by doing
>
> plot(x,y,'o',markerfacecolor='w')
And this is not an "insightful answer"? Anyway, thanks a lot!
Christian (who was to tired to look at the right place ...)
From: Stefan v. d. W. <st...@su...> - 2006年09月28日 21:17:43
On Thu, Sep 28, 2006 at 08:24:44PM +0200, Christian Meesters wrote:
> I'd like to plot experimental data points with fitted data through it. =
This=20
> time best would be to plot hollow circles for the experimental data. Pr=
etty=20
> much like literal 'o's (except, of course, that passing 'o' results in =
thick=20
> circles).
> Is this possible somehow?
I'm sure someone will soon provide you with an insightful answer. In
the meantime, you can fudge it by doing
plot(x,y,'o',markerfacecolor=3D'w')
plot(x,y)
Regards
St=E9fan
From: Christian M. <mee...@un...> - 2006年09月28日 21:04:52
> As for the preview header, I suspect there arte 3rd part tools that
> can do this (ImageMagick?). We should be able to do it ourself with
> agg, but it would require someone to dig in and figure out the spec.
>
> JDH
One last remark on this: Since so many journals demand this, would it be worth 
a feature request? (I don't have the time nor the skills to work on this.) 
One may think of this as one wishes (don't like these publishing companies 
and their demands, either), but matplotlib wants to enable its users to 
produce figures ready for publication, right?
Christian 
From: Christian M. <mee...@un...> - 2006年09月28日 18:23:28
Hi,
I'd like to plot experimental data points with fitted data through it. This 
time best would be to plot hollow circles for the experimental data. Pretty 
much like literal 'o's (except, of course, that passing 'o' results in thick 
circles).
Is this possible somehow?
TIA
Christian
From: Christian M. <mee...@un...> - 2006年09月28日 14:49:52
Thanks, John and Alan,
That was fast!
> As for the fonts, yes, you can control this with rc.
Sure, but what about the latex rendered parts? (I wonder whether it actually 
matters, but I'd like to be sure, because there so little time left ...)
> On 2006年9月28日, Christian Meesters apparently wrote:
> > - it should include a 8bit preview/header at a resolution of 72dpi - no
> > idea how to generate this
>
> I think you can use
> http://www.cs.wisc.edu/~ghost/gsview/epstool.htm
> but do not know what dpi control you'll have.
It works, thanks. The installation is easy. Setting the resolution in dpi can 
be done by giving the flag --dpi <resolution>. 
Cheers
Christian
From: Alan G I. <ai...@am...> - 2006年09月28日 14:09:50
On 2006年9月28日, Christian Meesters apparently wrote: 
> - it should include a 8bit preview/header at a resolution of 72dpi - no idea 
> how to generate this 
I think you can use
http://www.cs.wisc.edu/~ghost/gsview/epstool.htm
but do not know what dpi control you'll have.
hth,
Alan Isaac
From: John H. <jdh...@ac...> - 2006年09月28日 14:05:23
>>>>> "Christian" == Christian Meesters <mee...@un...> writes:
 Christian> Hi, I'd like to write a paper with figures in eps
 Christian> format. Since the paper is for one of Elseviers
 Christian> journals the eps-figures have to meet the following
 Christian> requirements: - all colors have to be in the rgb color
 Christian> space - this seems to be true for the files I generate.
 Christian> - it should include a 8bit preview/header at a
 Christian> resolution of 72dpi - no idea how to generate this -
 Christian> allowed fonts are: Arial, Courier, Helvetica, Times,
 Christian> Symbol - this is something I can set in the rc file,
 Christian> although I have no idea what is true in latex rendered
 Christian> parts
 Christian> Can somebody tell me please, whether matplotlib indeed
 Christian> creates colors in the rgb color space and answer the
 Christian> other two questions, too? Would be really great ...
Yes, it does use the RGB colorspace, but we would like to support
other colorspaces too.
As for the fonts, yes, you can control this with rc.
As for the preview header, I suspect there arte 3rd part tools that
can do this (ImageMagick?). We should be able to do it ourself with
agg, but it would require someone to dig in and figure out the spec.
JDH
From: Christian M. <mee...@un...> - 2006年09月28日 13:56:24
Hi,
I'd like to write a paper with figures in eps format. Since the paper is for 
one of Elseviers journals the eps-figures have to meet the following 
requirements:
- all colors have to be in the rgb color space - this seems to be true for the 
files I generate.
- it should include a 8bit preview/header at a resolution of 72dpi - no idea 
how to generate this
- allowed fonts are: Arial, Courier, Helvetica, Times, Symbol - this is 
something I can set in the rc file, although I have no idea what is true in 
latex rendered parts
Can somebody tell me please, whether matplotlib indeed creates colors in the 
rgb color space and answer the other two questions, too? Would be really 
great ...
TIA
Christian
From: Werner F. B. <wer...@fr...> - 2006年09月28日 10:13:50
Attachments: dynamic_image_wxagg.py
Attached is an updated version which does close.
I move the timer code and added and EVT_CLOSE which stops the timer and 
now it closes correctly.
Werner
From: Peter Z. <zhu...@ke...> - 2006年09月28日 09:02:24
Hi, All,
 
I am doing some plotting and I want to do some format change to my tick.
Here is what I want:
 
Origin ticks: 0.0 1.0 2.0 3.0
4.0 5.0
Ticks I want: 0.0mV 1000mv 2000mV 3000mV 4000mV 5000mV
 
Just showing the ticks in an easier-read way. Because I don't want so see
anything like 1.2345e-2, I want to see 12.345mV.
 
Thanks very much..
 
CONFIDENTIALITY NOTE: This message is intended only for the use of the 
individual or entity to which it is addressed and may contain information 
that is privileged, confidential, and exempt from disclosure under 
applicable law. If the reader of this notice is not the intended recipient, 
you are hereby notified that any dissemination, distribution or copying of 
this communication is strictly prohibited. If you have received this 
communication in error, please notify the sender immediately by telephone at
(86-10)8225 5779-361.
 
_____________________________________________________________________________
Scanned by IBM Email Security Management Services powered by MessageLabs. For more information please visit http://www.ers.ibm.com
_____________________________________________________________________________
From: Gerardo R. <Ger...@jp...> - 2006年09月27日 22:46:12
John,
Thanks for the information. I might start looking at the code and 
see if I can make any changes. If I'm successful then I'll submit 
these as patches.
Gerardo
>
>
>No, there isn't, but patches here would be most welcome since this has
>come up before....
>
>JDH
From: John H. <jdh...@ac...> - 2006年09月27日 21:29:49
>>>>> "Gerardo" == Gerardo Rivera <Ger...@jp...> writes:
 Gerardo> Hi, I'm currently using matplotlib with Plone/Zope to
 Gerardo> generate some graphics for temperature, wind speed and
 Gerardo> wind direction based on some data from Lake Tahoe.
 Gerardo> However, the currently layout of the legends box really
 Gerardo> restricts me from displaying the full set of data points
 Gerardo> on one graph.
 Gerardo> Currently the legend layout is displayed as:
 Gerardo> line1_color label1 line2_color label2 line3_color label3
 Gerardo> ...
 Gerardo> we want horizontal layout:
 Gerardo> line1_color label1 line2_color label2 line3_color label3
 Gerardo> ...
 Gerardo> Also placing the horizontal layout below the x-axis title
 Gerardo> would be ideal.
 Gerardo> Is there a way to create the horizontal layout in the
 Gerardo> current version of matplotlib?
No, there isn't, but patches here would be most welcome since this has
come up before....
JDH
From: Gerardo R. <Ger...@jp...> - 2006年09月27日 20:02:55
Hi,
I'm currently using matplotlib with Plone/Zope to generate some 
graphics for temperature, wind speed and wind direction based on some 
data from Lake Tahoe. However, the currently layout of the legends 
box really restricts me from displaying the full set of data points 
on one graph.
Currently the legend layout is displayed as:
line1_color label1
line2_color label2
line3_color label3
...
we want horizontal layout:
line1_color label1 line2_color label2 line3_color 
label3 ...
Also placing the horizontal layout below the x-axis title would be ideal.
Is there a way to create the horizontal layout in the current version 
of matplotlib?
I noticed that someone created a column layout in Aug 2006 but 
actually changed the legend code. If I need to I could look at the 
legend code myself to get the needed results.
I'm using the following:
matplotlib 0.87.5
python 2.3.5, win32
Zope 2.7.8
Plone 2
Thanks for any help
Gerardo Rivera
From: John H. <jdh...@ac...> - 2006年09月27日 15:47:27
>>>>> "Scott" == Scott Ransom <sr...@nr...> writes:
 Scott> Hi All, I think I might have uncovered a bug in the legend
 Scott> code when using multiple patches so that only the first
 Scott> patch type is used in the legend.
 Scott> In [41]: matplotlib.__version__ Out[41]: '0.87.5'
 Scott> (that is revision 2782 from SVN)
 Scott> Here is some code that shows the problem:
 Scott> ------------------------------ from pylab import *
 Scott> binctrs = linspace(-4.0, 4.0, 15) vals = randn(1000) n1,
 Scott> bins1, p1 = hist(vals, binctrs, align='center') n2, bins2,
 Scott> p2 = hist(vals[:300], binctrs, align='center') setp(p1,
 Scott> 'facecolor', 'k', 'alpha', 0.2) setp(p2, 'facecolor', 'g',
 Scott> 'alpha', 0.9) legend((p1, p2), ("Frobs", "NewFrobs"))
 Scott> show() ------------------------------
The returned patches is a list of patches -- you just need to pick off
a representative one
ax = subplot(111)
binctrs = linspace(-4.0, 4.0, 15)
vals = randn(1000)
n1, bins1, p1 = hist(vals, binctrs, align='center', facecolor='black', alpha=0.2)
n2, bins2, p2 = hist(vals[:300], binctrs, align='center', facecolor='green', alpha=0.9)
legend((p1[0], p2[0]), ("Frobs", "NewFrobs"))
show()
From: Richard A. <ral...@in...> - 2006年09月27日 14:33:28
Please disregard, i finally solved my problem using IndexLocator:
# datetime variable x is in 15 min intervals, 6 1/2 hours in trading day
# results in 26 data points per day, so:
days = IndexLocator(26, 1)
hours = IndexLocator(4, 1)
ax = subplot(111)
plot(datesindex, y)
ax.xaxis.set_major_locator(days)
ax.xaxis.set_major_formatter(IndexDateFormatter(x, '%Y-%m-%d %H:%M:%S'))
ax.xaxis.set_minor_locator(hours)
ax.xaxis.set_minor_formatter(IndexDateFormatter(x, 'Y-%m-%d %H:%M:%S'))
Thanks to all who have help me with previous issues. :)
On Wed, 2006年09月27日 at 09:58 -0400, Richard Albright wrote:
> I am getting closer to the results I want by modifying my days and hours
> locators to read:
> 
> days = WeekdayLocator(byweekday=(MO, TU, WE, TH, FR))
> hours = HourLocator(byhour=range(9,17,1))
> 
> but the xaxis still fills in times for the rest of each day interval,
> but now only shows xtick labels for the period during the day i am
> concerned with. Is there a way to limit the hours plotted on the xaxis
> for each day interval?
> 
> 
> On Tue, 2006年09月26日 at 16:47 -0400, Richard Albright wrote:
> > I am trying to figure out how i can use IndexLocator with DateFormatter.
> > Currently i am only using DayLocator and HourLocator in my code, but it
> > is showing ticks for all hours in the plot, when I only care about
> > plotting the hours for when data is available.
> > 
> > I already applied date2num to my dates in the x list below.
> > 
> > 
> > 
> > from matplotlib.dates import IndexDateFormatter, DateFormatter, date2num
> > 
> > import matplotlib
> > 
> > from matplotlib import rc
> > 
> > import datetime
> > from pylab import *
> > 
> > 
> > x = [732559.39583333337, 732559.40625, 732559.41666666663,
> > 732559.42708333337,
> > 732559.4375, 732559.44791666663, 732559.45833333337, 732559.46875, 
> > 732559.47916666663 , 732559.48958333337, 732559.5,
> > 732559.51041666663, 
> > 732559.52083333337, 732559.53125, 732559.54166666663,
> > 732559.55208333337,
> > 732559.5625, 732559.57291666663, 732559.58333333337, 732559.59375, 
> > 732559.60416666663, 732559.61458333337, 732559.625,
> > 732559.63541666663, 
> > 732559.64583333337, 732559.65625, 732559.66666666663,
> > 732560.39583333337, 
> > 732560.40625, 732560.41666666663, 732560.42708333337, 732560.4375, 
> > 732560.44791666663, 732560.45833333337, 732560.46875,
> > 732560.47916666663, 
> > 732560.48958333337, 732560.5, 732560.51041666663,
> > 732560.52083333337, 
> > 732560.53125, 732560.54166666663, 732560.55208333337, 732560.5625, 
> > 732560.57291666663, 732560.58333333337, 732560.59375,
> > 732560.60416666663, 
> > 732560.61458333337, 732560.625, 732560.63541666663,
> > 732560.64583333337, 
> > 732560.65625, 732560.66666666663]
> > y = [13.07, 13.050000000000001, 13.029999999999999, 13.039999999999999, 
> > 13.029999999999999, 13.0, 13.0, 13.0, 13.0, 13.029999999999999,
> > 13.02, 
> > 13.01, 12.99, 12.98, 12.98, 12.960000000000001, 12.94, 12.92, 
> > 12.960000000000001, 12.98, 13.19, 13.140000000000001,
> > 13.130000000000001, 
> > 13.109999999999999, 13.08, 13.109999999999999, 13.039999999999999,
> > 13.15, 
> > 13.130000000000001, 13.15, 13.279999999999999, 13.210000000000001, 
> > 13.199999999999999, 13.199999999999999, 13.19, 13.199999999999999, 
> > 13.140000000000001, 13.119999999999999, 13.1, 13.09,
> > 13.130000000000001, 
> > 13.119999999999999, 13.130000000000001, 13.130000000000001, 
> > 13.140000000000001, 13.15, 13.16, 13.119999999999999,
> > 13.119999999999999, 
> > 13.1, 13.050000000000001, 13.029999999999999, 13.02, 13.0]
> > 
> > datesindex = range(len(x))
> > 
> > days = DayLocator()
> > hours = HourLocator()
> > ax = subplot(111)
> > plot(x, y)
> > 
> > ax.xaxis.set_major_locator(days)
> > ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d %H:%M:%S'))
> > ax.xaxis.set_minor_locator(hours)
> > ax.xaxis.set_minor_formatter(DateFormatter('%H:%M:%S'))
> > setp(ax.get_xticklabels(), 'rotation', 90, 'horizontalalignment',
> > 'center', fontsize=8)
> > minorlabels = [tick.label1 for tick in ax.xaxis.get_minor_ticks()]
> > setp(minorlabels, 'rotation', 90, 'horizontalalignment', 'center',
> > fontsize=8)
> > 
> > grid(True)
> > show()
> > 
> > Any suggestions would be greatly appreciated.
> > 
> -- 
> Rick Albright
> Senior Quantitvative Analyst
> Indie Research, LLC
> 254 Witherspoon Street
> Princeton, NJ 08542
> (609)497-1030
> ral...@in...
> 
> 
> 
> -------------------------------------------------------------------------
> Take Surveys. Earn Cash. Influence the Future of IT
> Join SourceForge.net's Techsay panel and you'll get the chance to share your
> opinions on IT & business topics through brief surveys -- and earn cash
> http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
Rick Albright
Senior Quantitvative Analyst
Indie Research, LLC
254 Witherspoon Street
Princeton, NJ 08542
(609)497-1030
ral...@in...
2 messages has been excluded from this view by a project administrator.

Showing results of 277

1 2 3 .. 12 > >> (Page 1 of 12)
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) /