matplotlib-users Mailing List for matplotlib

Sterling,

Thanks - I ended up adding an extra y-tick with minor=True. Something 
along these lines:

# Add Fermi line
y = self._bandstructure.fermiLevel()
self._axes.axhline(y=y, linestyle=':')

# Add Fermi tick
tick = self._axes.set_yticks([y], minor=True)[0]
tick.label1On = False
tick.label2On = True
self._axes.set_yticklabels([r'$\epsilon_\mathrm{F}$'], minor=True,
                             fontsize=font_size*1.19, 
verticalalignment='center')

Evil?


On 28/11/2012 17:35, Sterling Smith wrote:
> Mads,
>
> I recommend trying a text object[1], with a transform which is a blended transform from a transform factory[2].  Also, you probably want the x coordinate in axes coordinates, with a left horizontal alignment.
>
> -Sterling
>
> [1] http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.text
> [2] http://matplotlib.org/users/transforms_tutorial.html#blended-transformations
>
>
> On Nov 28, 2012, at 4:27AM, Mads Ipsen wrote:
>
>> Hi,
>>
>> I would like to add a label or tick label for an axhline(), in such a way that the labels follows the location of the hline.
>>
>> The x-coordinate of the label should be in screen coordinates (a little to the right of the plot) - but the y-coordinate should be in data coordinates.
>>
>> Any good suggestions?
>>
>> Best regards,
>>
>> Mads
>>   
>> -- 
>> +-----------------------------------------------------+
>> | Mads Ipsen                                          |
>> +----------------------+------------------------------+
>> | Gåsebæksvej 7, 4. tv |                              |
>> | DK-2500 Valby        | phone:          +45-29716388 |
>> | Denmark              | email:
>> mad...@gm...
>>   |
>> +----------------------+------------------------------+
>>
>>
>> ------------------------------------------------------------------------------
>> Keep yourself connected to Go Parallel:
>> INSIGHTS What's next for parallel hardware, programming and related areas?
>> Interviews and blogs by thought leaders keep you ahead of the curve.
>> http://goparallel.sourceforge.net_______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users


-- 
+-----------------------------------------------------+
| Mads Ipsen                                          |
+----------------------+------------------------------+
| Gåsebæksvej 7, 4. tv |                              |
| DK-2500 Valby        | phone:          +45-29716388 |
| Denmark              | email:  mad...@gm... |
+----------------------+------------------------------+

On 28 November 2012 15:28, Vilson Vieira <vi...@vo...> wrote:
> Hi,
>
> I'm using matplotlib to draw some generative art works. I'm trying to hide
> the axis but when I do that the lines that are over the axis are hidden as
> well, like this example: http://i.imgur.com/hKqMi.png
>
> The code I'm using to generate those kind of random walk plots is here:
> https://gist.github.com/4164025
>
> I already tried subplots_adjust, and set_alpha/set_visible on axis and
> spines but anything worked.

I think your problem is with clipping. Try the no_clip function in
this thread [1] and see if that helps.

[1] http://matplotlib.1069221.n5.nabble.com/How-to-turn-off-all-clipping-td1813.html#a1814

Angus
--
AJC McMorland
Post-doctoral research fellow
Neurobiology, University of Pittsburgh

Hi,

I'm using matplotlib to draw some generative art works. I'm trying to hide
the axis but when I do that the lines that are over the axis are hidden as
well, like this example: http://i.imgur.com/hKqMi.png

The code I'm using to generate those kind of random walk plots is here:
https://gist.github.com/4164025

I already tried subplots_adjust, and set_alpha/set_visible on axis and
spines but anything worked.

Any help?

Thank you so much.

-- 
Vilson Vieira

vi...@vo...

((( http://automata.cc )))

((( http://musa.cc )))

((( http://labmacambira.sourceforge.net )))

Mads,

I recommend trying a text object[1], with a transform which is a blended transform from a transform factory[2].  Also, you probably want the x coordinate in axes coordinates, with a left horizontal alignment.

-Sterling

[1] http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.text
[2] http://matplotlib.org/users/transforms_tutorial.html#blended-transformations


On Nov 28, 2012, at 4:27AM, Mads Ipsen wrote:

> Hi,
> 
> I would like to add a label or tick label for an axhline(), in such a way that the labels follows the location of the hline.
> 
> The x-coordinate of the label should be in screen coordinates (a little to the right of the plot) - but the y-coordinate should be in data coordinates.
> 
> Any good suggestions?
> 
> Best regards,
> 
> Mads
>  
> -- 
> +-----------------------------------------------------+
> | Mads Ipsen                                          |
> +----------------------+------------------------------+
> | Gåsebæksvej 7, 4. tv |                              |
> | DK-2500 Valby        | phone:          +45-29716388 |
> | Denmark              | email:  
> mad...@gm...
>  |
> +----------------------+------------------------------+
> 
> 
> ------------------------------------------------------------------------------
> Keep yourself connected to Go Parallel: 
> INSIGHTS What's next for parallel hardware, programming and related areas?
> Interviews and blogs by thought leaders keep you ahead of the curve.
> http://goparallel.sourceforge.net_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi Folks-

I'm working on a plot using an Aitoff projection, and I've noticed a couple
of problems:

1. There seems a problem with the positioning of contour labels in some of
the projections. In the Aitoff, Lambert, and Mollweide projections, the
some of the contour labels appear to be shifted. In the Hammer projection
of my example one of them (0.524) looks to be slightly off, but it's close
enough. The polar projection is fine.

2. When saving the output in eps format, the Aitoff, Hammer, and Lambert
projections are producing postscript that cannot be interpreted by
ghostview.

I've copied a minimal script to demonstrate the problem at the end of this
email.

Any ideas?
Thanks in advance!
--Chad


import numpy as np
from numpy import arccos, sin, cos, pi
import matplotlib.pyplot as plt

# setup the contour grid
X = np.arange(-180.0,180.0, 1) * pi/180
Y = np.arange(-90.0,90.0, 1) * pi/180
Z = np.zeros([len(Y), len(X)])

# compute the contour field
for x in range(0,360,1):
    for y in range(0,180,1):
        Z[y,x] = arccos(sin(pi/4)*sin(Y[y]) +
                cos(pi/4)*cos(Y[y])*cos(-90*pi/180 - X[x]))

f=[];
ax=[];
for projection in ["hammer", "aitoff", "lambert", "mollweide", "polar"]:
    f.append(plt.figure())
    ax.append(plt.subplot(111, projection=projection))
    plt.grid("on")

    Cplot = plt.contour(X,Y,Z, np.array([30.0, 60, 90, 120, 150])*pi/180)
    plt.clabel(Cplot, inline=1)

    plt.savefig("contourLabels{}.png".format(projection))
    plt.savefig("contourLabels{}.eps".format(projection))

Hi,

I would like to add a label or tick label for an axhline(), in such a 
way that the labels follows the location of the hline.

The x-coordinate of the label should be in screen coordinates (a little 
to the right of the plot) - but the y-coordinate should be in data 
coordinates.

Any good suggestions?

Best regards,

Mads

-- 
+-----------------------------------------------------+
| Mads Ipsen                                          |
+----------------------+------------------------------+
| Gåsebæksvej 7, 4. tv |                              |
| DK-2500 Valby        | phone:          +45-29716388 |
| Denmark              | email:  mad...@gm... |
+----------------------+------------------------------+

Hi Phil,

Le 28/11/2012 12:58, Phil Elson a écrit :
> I've just submitted a pull request
> (https://github.com/matplotlib/matplotlib/pull/1540) to get the mpl
> docs to link to the nabble archive instead
> (http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html
> <http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>).
Great ! I'm not so familiar with the nabble archive service, but at
first glance it looks way better than sourceforge (beyond the fact their
archiving service is pretty dead ;-) ).

Best,
Pierre

Hi Pierre,

Thanks for raising this (sorry we haven't got back to you sooner).

The mailing list isn't dead, but the archiving link certainly makes it look
like it is. I've just submitted a pull request (
https://github.com/matplotlib/matplotlib/pull/1540) to get the mpl docs to
link to the nabble archive instead (http://
matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html).

FYI There are a couple of topics related to this which I will raise in the
mpl-devel mailing list sortly.

Thanks,

Phil



On 4 October 2012 08:55, Pierre Haessig <pie...@cr...> wrote:

> Hi,
>
> Is it just my web browser getting crazy or is there a real issue with
> the ML archive on sourceforge:
> http://sourceforge.net/mailarchive/forum.php?forum_name=matplotlib-users
>
> I only see email records until July 16th 2012 !!
>
> If there is another ML archive website in better shape, it would be
> worth updating the link on matplotlib.org front page
> ("Documentation/need help?" section)
>
> Best,
> Pierre
>
>
>
>
>
> ------------------------------------------------------------------------------
> Don't let slow site performance ruin your business. Deploy New Relic APM
> Deploy New Relic app performance management and know exactly
> what is happening inside your Ruby, Python, PHP, Java, and .NET app
> Try New Relic at no cost today and get our sweet Data Nerd shirt too!
> http://p.sf.net/sfu/newrelic-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>