matplotlib-users Mailing List for matplotlib

Hi, 
I used the colorbar with the imshow for a while for a while, but now when I 
produce a pdf of svg, light stripes appear in the colorbar. When I try to 
modify the file with inkscape, I see that the stroke color is unset. Is this a 
bug, a feature, or my backend that produces the file. And how can I get rid of 
that?
Regards, Stefan

On Tue, Jan 11, 2011 at 8:17 AM, Daniel Mader <
dan...@go...> wrote:
> > Interesting... this will need to be investigated a little bit further.
> In
> > the meantime, making a single polycollection with all the pieces seem to
> do
> > the trick for now. I have attached a modified version of your script to
> > demonstrate.
>
> Dear Ben,
>
> this is great news, it works perfectly well! Thanks a million times
> for this great support!
>
> All the best,
> Daniel
>
Oh, btw, could you please file a bug report describing the problem and that
original script? I suspect it is a slightly different problem than the
usual 3d stacking problem. I don't want to forget to look into it.
http://sourceforge.net/tracker/?group_id=80706
Thanks,
Ben Root

On Tue, Jan 11, 2011 at 8:45 AM, Lebostein <Leb...@gm...> wrote:
>
> I have compared the new and old output. For example the "0.0" in a diagram:
>
> old eps (1.0.0):
>
> 35.223 19.934 m
> 0 0.141 rmoveto
> (0.0) show
> [1 2] 0 setdash
> 0.502 setgray
>
> new eps (1.0.1):
>
> 35.222810 19.933563 translate
> 0.000000 rotate
> 0.000000 0.140625 m /zero glyphshow
> 6.362305 0.140625 m /period glyphshow
> 9.541016 0.140625 m /zero glyphshow
> grestore
> [1 2] 0 setdash
> 0.502 setgray
>
> ...
>
Ah, this bit me yesterday as well. I wanted to edit some labels using
InkScape and it became easier to just modify my original script and just
re-make the image. I know there were some "fixes" recently, but I don't
know the specifics.
Ben Root

I have compared the new and old output. For example the "0.0" in a diagram:
old eps (1.0.0):
35.223 19.934 m
0 0.141 rmoveto
(0.0) show
[1 2] 0 setdash
0.502 setgray
new eps (1.0.1):
35.222810 19.933563 translate
0.000000 rotate
0.000000 0.140625 m /zero glyphshow
6.362305 0.140625 m /period glyphshow
9.541016 0.140625 m /zero glyphshow
grestore
[1 2] 0 setdash
0.502 setgray
...
-- 
View this message in context: http://old.nabble.com/Problem-with-matplotlib-1.0.1-and-psfrag-%28LaTeX%29-tp30644263p30644322.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,
the eps output of matplotlib 1.0.1 don't work with the LaTeX macro PSfrag
(http://en.wikipedia.org/wiki/PSfrag). In the release notes
(RELEASE_NOTES-1.0.1.txt) I can not find any changes to the eps output. What
have you done?
-- 
View this message in context: http://old.nabble.com/Problem-with-matplotlib-1.0.1-and-psfrag-%28LaTeX%29-tp30644263p30644263.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

> Interesting... this will need to be investigated a little bit further. In
> the meantime, making a single polycollection with all the pieces seem to do
> the trick for now. I have attached a modified version of your script to
> demonstrate.
Dear Ben,
this is great news, it works perfectly well! Thanks a million times
for this great support!
All the best,
Daniel

Damien Bathory, on 2011年01月11日 15:27, wrote:
> Hi All.
> ...
> I want to change the color of the ticklines set by set_thetagrids(), but I
> am not having any luck.
> ( See black instead of green ticklines here:
> http://i1234.photobucket.com/albums/ff405/dbathory/circum.png )
> 
> Should I be able manipulating the ticklines in this way after calling
> set_theagrids?
> 
> for line in ax.xaxis.get_ticklines():
> line.set_color('g')
> 
> I've also tried using the tick_params() call to set the default tickline
> color, with no luck.
> I've tried this on matplotlib v1.00 and v98.1, with the same results (black
> instead of green).
Hi Damien,
Those aren't ticks, those are grid lines (verify by pressing 'g'
after selecting the axes to toggle the grid on and off).
 ax.grid(color='green')
is what you can use to set the grid line color (and other aspects, like
linewidth, linestyle, alpha, etc).
hope that helps,
-- 
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 

Hi All.
I am trying to create a circumplex (or "rose") plot that looks a bit like
this:
http://www.organizacionakultura.net/slike_fck/image/Ideal%20culture%20profile%20ENG(1).jpg
At the moment I am using a Polar plot and trying to manipulate it so that it
looks more like a circumplex (with each "slice of the cake" corresponding to
a label).
I want to change the color of the ticklines set by set_thetagrids(), but I
am not having any luck.
( See black instead of green ticklines here:
http://i1234.photobucket.com/albums/ff405/dbathory/circum.png )
Should I be able manipulating the ticklines in this way after calling
set_theagrids?
for line in ax.xaxis.get_ticklines():
 line.set_color('g')
I've also tried using the tick_params() call to set the default tickline
color, with no luck.
I've tried this on matplotlib v1.00 and v98.1, with the same results (black
instead of green).
Full code:
#============== START CODE =====================
#!/usr/bin/python
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.projections.polar import PolarAxes
import matplotlib.cm as cm
labels = ['Label A', 'Label B', 'Label C', 'Label D', 'Label E', 'Label F',
'Label G', 'Label H', 'Label I' ]
data = [ 7, 5, 3, 11, 4, 2, 9, 8, 5 ]
max_size = 12
N = len(data)
# This doesn't seem to change the tick color
plt.tick_params(axis='both', which='both', color='g')
fig = plt.figure(figsize=(8,8))
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)
theta = np.arange(0.0, 2*np.pi, 2*np.pi/N)
radii = data
width = np.pi*2/N
bars = ax.bar(theta, radii, width=width, bottom=0.0)
for r,bar in zip(radii, bars):
 bar.set_facecolor( cm.jet(r/10.))
 bar.set_alpha(0.5)
spoke_angles = theta * 180/np.pi - 180/N
(g_lines, g_labels) = ax.set_thetagrids(spoke_angles, labels, color='r')
for line in ax.xaxis.get_ticklines():
 line.set_color('g') # This doesn't seem to change the tick color either
ax.set_rgrids([10000], []) # Just moving the rgrids out the way for now
fig.savefig('circum.png')
#============== END CODE =====================
Thanks in advance.