matplotlib-users — Discussion related to using matplotlib

Re: [Matplotlib-users] Varying alpha in ListedColormap not working

[Oliver K. <oli...@gm...>]

> What is your matplotlib.__version__ ? I think that code only made it's
> way into v1.2.0 (the latest stable), and was did not make it into
> v1.1.1 (or anything before it)

I'm running 1.1.0 - I'll upgrade it now. Thanks for the help!

Oliver

Re: [Matplotlib-users] Varying alpha in ListedColormap not working

[Paul I. <piv...@gm...>]

On Wed, Dec 5, 2012 at 2:36 PM, Oliver King <oli...@gm...> wrote:
> What appears to be happening is that the alpha values in the cmap I use when I create the ListedColormap object are being ignored by the add_collection function. I see that this bug (or something quite like it) was reported in late 2008:
> http://matplotlib.1069221.n5.nabble.com/create-ListedColormap-with-different-alpha-values-tt18693.html#a18697
>
> Did the patch from late 2008 not make it into the code, or has this bug resurfaced? Does anyone know of a workaround for this issue?

It's all a blur now, but I don't think that patch made it in because
colormaps were inherently RGB not RGBA.

Something similar to that patch was merged in a year ago:
https://github.com/matplotlib/matplotlib/pull/660 and attached is the
result of running your code on my machine.

What is your matplotlib.__version__ ? I think that code only made it's
way into v1.2.0 (the latest stable), and was did not make it into
v1.1.1 (or anything before it)

--
Paul Ivanov
314 address only used for lists,  off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7

[Matplotlib-users] Varying alpha in ListedColormap not working

[Oliver K. <oli...@gm...>]

Hi,

I've been trying to plot a line with varying alpha (but constant color). After much googling I have come up with the following code segment, which by all indications should work. It works when I vary an individual RGB element, but not when I vary alpha.

#################################################
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib.colors import ListedColormap, BoundaryNorm

# the line to plot
x = np.linspace(0,1,101)
y = x*0.5-0.25
scaling = np.exp(-(x-0.5)**2/0.5**2) # scale the transparency of the line according to this

# Create a colormap which has a constant color, but varies the transparency.
N = 50 # this many different transparency levels
alpha_boundaries = np.linspace(np.min(scaling),np.max(scaling),N+1)
# The lowest values are transparent, the highest ones are opaque
cmap = ListedColormap([(0.0,0.0,0.0,a) for a in np.linspace(0,1,N)])
norm = BoundaryNorm(alpha_boundaries, cmap.N)

# Create a set of line segments so that we can color them individually
# This creates the points as a N x 1 x 2 array so that we can stack points
# together easily to get the segments. The segments array for line collection
# needs to be numlines x points per line x 2 (x and y)
points = np.array([x, y]).T.reshape(-1, 1, 2)
segments = np.concatenate([points[:-1], points[1:]], axis=1)
    
# Create the line collection object, setting the colormapping parameters.
# Have to set the actual values used for colormapping separately.
lc = LineCollection(segments, cmap=cmap, norm=norm)
lc.set_array(scaling)

ax = plt.subplot(111)
ax.add_collection(lc)
plt.xlim(x.min(), x.max())
plt.ylim(y.min(), y.max())
plt.show()
#################################################

What appears to be happening is that the alpha values in the cmap I use when I create the ListedColormap object are being ignored by the add_collection function. I see that this bug (or something quite like it) was reported in late 2008:
http://matplotlib.1069221.n5.nabble.com/create-ListedColormap-with-different-alpha-values-tt18693.html#a18697

Did the patch from late 2008 not make it into the code, or has this bug resurfaced? Does anyone know of a workaround for this issue?

Cheers,
Oliver

Re: [Matplotlib-users] cross hatching in contours?

[Phil E. <pel...@gm...>]

As of matplotlib v1.2.0 you can hatch a contour set directly. There is an
example in the gallery:

http://matplotlib.org/examples/pylab_examples/contourf_hatching.html

Hope that helps,

Phil


On 5 December 2012 17:28, spencerahill <spe...@gm...> wrote:

> Jae-Joon Lee wrote
> > On Thu, Sep 15, 2011 at 10:33 PM, Jonathan Slavin
> > &lt;
>
> > jslavin@.harvard
>
> > &gt; wrote:
> >> I'm wondering if there is some way to do cross hatching as a way to fill
> >> contours rather than colors (using contourf).  The only references to
> >> cross hatching I see in the documentation are for patches type objects.
> >> As far as I can tell, contour and contourf return objects of their own
> >> type (contour.QuadContourSet) that do not have hatch as an attribute.
> >>
> >
> > Yes, it seems that hatching is only supported in patches.
> > You may workaround this by converting contours to multiple patches.
> > See the attachment.
> >
> > Matplotlib-users mailing list
>
> > Matplotlib-users@.sourceforge
>
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
> > contour_to_hatched_patches.py (1K)
> > &lt;
> http://matplotlib.1069221.n5.nabble.com/attachment/23/0/contour_to_hatched_patches.py&gt
> ;
>
> Hi Jae-Joon,
>
> Your contour_to_hatched_patches.py script works excellently. Is there a way
> to suppress the contour lines and filling, leaving only stippling? I have
> been experimenting with it but no luck.
>
> I have a contourf of a 2D variable and a separate 2D array indicating
> regions of statistical significance (i.e. a mask, which equals 1 in cells
> where the variable is significant and equals 0 else), and I want to put
> black hatching over the contourf where it is significant. I can get this to
> work, but still with a black contour line surrounding the hatched region.
> I'd like to remove the line, leaving just the hatching. Thanks!
>
> Best,
> Spencer
>
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/cross-hatching-in-contours-tp22p39945.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
> ------------------------------------------------------------------------------
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Re: [Matplotlib-users] cross hatching in contours?

[spencerahill <spe...@gm...>]

Jae-Joon Lee wrote
> On Thu, Sep 15, 2011 at 10:33 PM, Jonathan Slavin
> <

> jslavin@.harvard

> > wrote:
>> I'm wondering if there is some way to do cross hatching as a way to fill
>> contours rather than colors (using contourf).  The only references to
>> cross hatching I see in the documentation are for patches type objects.
>> As far as I can tell, contour and contourf return objects of their own
>> type (contour.QuadContourSet) that do not have hatch as an attribute.
>>
> 
> Yes, it seems that hatching is only supported in patches.
> You may workaround this by converting contours to multiple patches.
> See the attachment.
> 
> Matplotlib-users mailing list

> Matplotlib-users@.sourceforge

> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
> contour_to_hatched_patches.py (1K)
> <http://matplotlib.1069221.n5.nabble.com/attachment/23/0/contour_to_hatched_patches.py>

Hi Jae-Joon,

Your contour_to_hatched_patches.py script works excellently. Is there a way
to suppress the contour lines and filling, leaving only stippling? I have
been experimenting with it but no luck. 

I have a contourf of a 2D variable and a separate 2D array indicating
regions of statistical significance (i.e. a mask, which equals 1 in cells
where the variable is significant and equals 0 else), and I want to put
black hatching over the contourf where it is significant. I can get this to
work, but still with a black contour line surrounding the hatched region.
I'd like to remove the line, leaving just the hatching. Thanks!

Best,
Spencer




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Re: [Matplotlib-users] how to put colorbar label beside the handle?

[ChaoYue <cha...@gm...>]

Hi, 

rather than the previous manual definition of the text postioins, I find a
more general/decent way:

yloc=(cbar.values-cbar.boundaries[0])/(cbar.boundaries[-1]-cbar.boundaries[0])
for l,y in zip(cbar_label,yloc):
    cbar.ax.text(1,y,l,transform=cbar.ax.transAxes,ha='left',va='center')

Chao



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Re: [Matplotlib-users] Hiding axis

[Vilson V. <vi...@vo...>]

2012/12/4 Pierre Haessig <pie...@cr...>

> I just edited your file :
> https://gist.github.com/4203760
>
> I made 2 changes:
>  * added a call to random.seed to make you code reproductible.
>  * altered the call to set_clip_on(False). It should be called on the
> Line2D object returned by plot()
>
> I think it solves your clipping problem.
>

Pierre, it works perfectly! Thank you so much.

All the best.

-- 
Vilson Vieira

vi...@vo...

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

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

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

Re: [Matplotlib-users] Noob Q's: Filling, and centring bars in a bar chart, centring xticks and positioning text against a log y axis

[Tristan S. <tri...@gm...>]

On 4 December 2012 17:20, Goyo <goy...@gm...> wrote:

> 2012/12/4 Tristan Strange <tri...@gm...>:
> > - I'd like each of the ticks on the x axis centred beneath each of the
> bars.
> exp(0.1 + np.log(y))
> I'm not sure I understand this. align=center might be what you want.


This is exactly what I was after.


>
> > - I'd like numbers in normal integer form not 10 to power form on the y
> > axis.
>
> I'm sure it can be done but I'm unable to help. Are you sure you want
> so many zeros in the Y tick labels?
>

Think you're right there actually.


> Also the calls to xticks() and plot() are useless. Check this code:
> http://pastebin.com/ELNV9Bea


This is  exactly what I was after many thanks.

Cheers,
Tristan

Re: [Matplotlib-users] Noob Q's: Filling, and centring bars in a bar chart, centring xticks and positioning text against a log y axis

[Goyo <goy...@gm...>]

2012/12/4 Tristan Strange <tri...@gm...>:
> Hi all,
>
> I'm just getting started with matplotlib and am having a few problems
> producing a simple bar graph. The code I'm writing to produce this can be
> found here: http://pastebin.com/T0WA2dh8
>
> The issues I'm having are as follows:
>
> - The bars in my graph do not show as filled blue after I make the the y
> axis logarithmic. How do I stop this from occurring.

Set the y scale before calling bar().

> - Each bar needs "centring" - they are arranged to the left of where I'd
> like them to be currently.
> - I'd like each of the ticks on the x axis centred beneath each of the bars.
exp(0.1 + np.log(y))
I'm not sure I understand this. align=center might be what you want.

> - I'm struggling to position text neatly above each of the bars - I've
> managed to position text well horizontally but not vertically. The log scale
> is making it hard for me to work out where to position them.

If you write the text at y+k, then you'll see it log(y+k)-log(y) above
the bar in the logarithmic plot. So if you want to see it h above the
bar you have to write it at exp(h + log(y)).

> - I'd like numbers in normal integer form not 10 to power form on the y
> axis.

I'm sure it can be done but I'm unable to help. Are you sure you want
so many zeros in the Y tick labels?

> Also how do I label each axis?
xlabel(), ylabel()

Also the calls to xticks() and plot() are useless. Check this code:
http://pastebin.com/ELNV9Bea


> Any help offered will be very much appreciated.
>
> Cheers,
> Tristan
>
> ------------------------------------------------------------------------------
> LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial
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> Improve your efficiency, and focus on delivering more value-add services
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>

[Matplotlib-users] Noob Q's: Filling, and centring bars in a bar chart, centring xticks and positioning text against a log y axis

[Tristan S. <tri...@gm...>]

Hi all,

I'm just getting started with matplotlib and am having a few problems
producing a simple bar graph. The code I'm writing to produce this can be
found here: http://pastebin.com/T0WA2dh8

The issues I'm having are as follows:

- The bars in my graph do not show as filled blue after I make the the y
axis logarithmic. How do I stop this from occurring.

- Each bar needs "centring" - they are arranged to the left of where I'd
like them to be currently.

- I'd like each of the ticks on the x axis centred beneath each of the bars.

- I'm struggling to position text neatly above each of the bars -
I've managed to position text well horizontally but not vertically. The log
scale is making it hard for me to work out where to position them.

- I'd like numbers in normal integer form not 10 to power form on the y
axis.

Also how do I label each axis?

Any help offered will be very much appreciated.

Cheers,
Tristan

Re: [Matplotlib-users] Hiding axis

[Pierre H. <pie...@cr...>]

Hi,

Le 29/11/2012 20:42, Vilson Vieira a écrit :
> I tried the no_clip function but it didn't worked:
> https://gist.github.com/4171341

I just edited your file :
https://gist.github.com/4203760

I made 2 changes:
 * added a call to random.seed to make you code reproductible.
 * altered the call to set_clip_on(False). It should be called on the
Line2D object returned by plot()

I think it solves your clipping problem.

Best,
Pierre

[Matplotlib-users] Multiprocessing with WxAgg

[Greg F. <gre...@gm...>]

Hi,
First off, thanks for building and supporting this excellent project.

I'm having trouble using the mulitprocessing example code at
http://matplotlib.org/examples/misc/multiprocess.html with WXAgg. Things
appear to work fine in the original script but when I change GTKAgg to
WXAgg in this script I do not get any points plotted, just a blank
interactive window.

Is it possible to use WXAgg and multiprocessing together? I have a large wx
project I would like to incorporate multiprocessing matplotlib plots into.

Thanks,
Greg

[Matplotlib-users] Line2D visible in axes

[Mads I. <mad...@gm...>]

Hi,

I have an 'axes' and some Line2D instance 'line' which is part of the 
axes artists.

Suppose the plot has been zoomed so only a small window of the original 
axes is visible. Is there a fast/convenient method that can be used to 
test if a Line2D object is visible at the current zoom level.

Of course you can test with

data = line.get_xydata()
(x_0, x_1) = axes.get_xlim()
(y_0, y_1) = axes.get_ylim()

invisible_x = (data[:,0].max() < x_0) or (data[:,0].min() > x_1)
invisible_y = (data[:,1].max() < y_0) or (data[:,1].min() > y_1)

but there might be something more convenient method/approach for this.

Best regards,

Mads

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

[Matplotlib-users] linestyle option for FancyArrowPatch and similar commands

[P P. <pp...@gm...>]

Hi all,

   I was wondering why there are inconsistent values for the 'linestyle' 
option in matplotlib.backend_bases.GraphicsContextBase. The values 
allowed are 'solid', 'dashed', 'dotted' and 'dashdot', aside from tuples.

Compare this with the options available for the usual pyplot.plot() 
command, where the linestyles are '-', '--', '-.', ':', etc.

Is there a specific reason for the difference in the options? It doesn't 
seem too hard to add the options '-', '--', etc to the 
GraphicsContextBase class - one only needs to add these to a dict at

https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/backend_bases.py#L671

   Regards,
       basu.

[Matplotlib-users] use \mathbb when usetex=True

[ceguo <hh...@gm...>]

Hi,

I found when usetex is set to be True, \mathbb cannot return blackboard bold
font. A minimum reproducing code of mine is:

import matplotlib.pyplot as plt
from matplotlib import rcParams

params = {
  'backend':'ps',
  'ps.usedistiller':'xpdf',
  'axes.labelsize':22,
  'text.fontsize':20,
  'legend.fontsize':20,
  'xtick.labelsize':20,
  'ytick.labelsize':20,
  'text.usetex':True,
  'latex.preamble':r'\usepackage{amsmath,amsfonts,amssymb}',
  'figure.figsize':[8,6],
  'font.family':'serif',
  'font.serif':'Times New Roman'
}
rcParams.update(params)

plt.plot([0,1],[0,1],'r-',lw=3,label=r"Using $\mathbb{D}^p$")

plt.legend()

plt.show()

I want to keep my rcParams settings as unchanged as possible.

Ning



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Re: [Matplotlib-users] Hiding axis

[Vilson V. <vi...@vo...>]

2012/11/28 Angus McMorland <am...@gm...>

> 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
>

Hi Angus,

I tried the no_clip function but it didn't worked:

https://gist.github.com/4171341

Any idea?

Thank you.

-- 
Vilson Vieira

vi...@vo...

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

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

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

[Matplotlib-users] Figure options window

[Nils W. <ni...@go...>]

Hi all,

AFAIK it is currently not possible to modify the ticks of a plot
within the "Figure options" window. Is it planned to add this feature
to the "Figure options" window ?


How can I modify the default path in the Navigation Toolbar if I launch the
file save dialog by clicking the save button ?

http://matplotlib.org/users/navigation_toolbar.html


Nils

Re: [Matplotlib-users] Label for axhline

[Mads I. <mad...@gm...>]

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... |
+----------------------+------------------------------+

Re: [Matplotlib-users] Hiding axis

[Angus M. <am...@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

[Matplotlib-users] Hiding axis

[Vilson V. <vi...@vo...>]

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 )))

Re: [Matplotlib-users] Label for axhline

[Sterling S. <sm...@fu...>]

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

[Matplotlib-users] Contour Labels Misplaced in Aitoff Projetion, and Bad eps Output

[Chad P. <par...@gm...>]

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))

[Matplotlib-users] Label for axhline

[Mads I. <mad...@gm...>]

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... |
+----------------------+------------------------------+

Re: [Matplotlib-users] mailing list archive broken ?

[Pierre H. <pie...@cr...>]

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

Re: [Matplotlib-users] mailing list archive broken ?

[Phil E. <pel...@gm...>]

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
>
>
>
>
>
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