matplotlib-users Mailing List for matplotlib

Hello to all,
using a standard python install on Ubuntu 10.04 the example fails to 
produce a figure.
Python 2.6.5 (r265:79063, Apr 16 2010, 13:09:56)
[GCC 4.4.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib
>>> matplotlib.__version__
'0.99.1.1'
Test case in python:
from numpy import sin, cos
import matplotlib
import matplotlib.pyplot as plt
plt.matplotlib.rc('text', usetex = True)
import pylab
fig = plt.figure()
ax = fig.add_subplot(111)
t = pylab.linspace(0,10,400)
ax.plot(t, sin(3*t), '-',
 t, sin(0.3*t**2), '--',
 t, cos(t), '-.')
ax.legend((r'$A^{\omega}$', r'$A^{2\omega}$', r'$A^{3\omega}$'),
 shadow = False, loc = (0.75, 0.1))
ax.set_xlabel(r'$\gamma_1 + \gamma_2$', {'fontsize' : 20 })
ax.set_ylabel(r'$A^{n\omega}$ (dB)', {'fontsize' : 20 })
fig.savefig(filename='test.pdf')
This leads to the following traceback:
Traceback (most recent call last):
 File "test.py", line 18, in <module>
 fig.savefig(filename='test.pdf')
 File "/usr/lib/pymodules/python2.6/matplotlib/figure.py", line 1032, 
in savefig
 self.canvas.print_figure(*args, **kwargs)
 File "/usr/lib/pymodules/python2.6/matplotlib/backend_bases.py", line 
1476, in print_figure
 **kwargs)
 File "/usr/lib/pymodules/python2.6/matplotlib/backend_bases.py", line 
1334, in print_pdf
 return pdf.print_pdf(*args, **kwargs)
 File 
"/usr/lib/pymodules/python2.6/matplotlib/backends/backend_pdf.py", line 
2025, in print_pdf
 self.figure.draw(renderer)
 File "/usr/lib/pymodules/python2.6/matplotlib/artist.py", line 46, in 
draw_wrapper
 draw(artist, renderer, *kl)
 File "/usr/lib/pymodules/python2.6/matplotlib/figure.py", line 773, 
in draw
 for a in self.axes: a.draw(renderer)
 File "/usr/lib/pymodules/python2.6/matplotlib/artist.py", line 46, in 
draw_wrapper
 draw(artist, renderer, *kl)
 File "/usr/lib/pymodules/python2.6/matplotlib/axes.py", line 1735, in 
draw
 a.draw(renderer)
 File "/usr/lib/pymodules/python2.6/matplotlib/artist.py", line 46, in 
draw_wrapper
 draw(artist, renderer, *kl)
 File "/usr/lib/pymodules/python2.6/matplotlib/axis.py", line 742, in draw
 tick.draw(renderer)
 File "/usr/lib/pymodules/python2.6/matplotlib/artist.py", line 46, in 
draw_wrapper
 draw(artist, renderer, *kl)
 File "/usr/lib/pymodules/python2.6/matplotlib/axis.py", line 196, in draw
 self.label1.draw(renderer)
 File "/usr/lib/pymodules/python2.6/matplotlib/text.py", line 553, in draw
 self._fontproperties, angle)
 File 
"/usr/lib/pymodules/python2.6/matplotlib/backends/backend_pdf.py", line 
1431, in draw_tex
 psfont = self.tex_font_mapping(dvifont.texname)
 File 
"/usr/lib/pymodules/python2.6/matplotlib/backends/backend_pdf.py", line 
1264, in tex_font_mapping
 dviread.PsfontsMap(dviread.find_tex_file('pdftex.map'))
 File "/usr/lib/pymodules/python2.6/matplotlib/dviread.py", line 668, 
in __init__
 self._parse(file)
 File "/usr/lib/pymodules/python2.6/matplotlib/dviread.py", line 701, 
in _parse
 self._register(words)
 File "/usr/lib/pymodules/python2.6/matplotlib/dviread.py", line 727, 
in _register
 assert encoding is None
AssertionError
I assume that the errors happens during parsing of the file 8r.enc 
(http://tug.org/fontname/8r.enc). This file belongs to TexLive 2010 and 
can also be found identically in MikTeX 2.9. I could only reproduce the 
error in Linux so far. Any help would be appreciated.
Alexander

I usually do this for line graphs with markers:
 line, = self.subplot.plot_date(dates,data)
along with some keywords to tweak the plot. I then add line to a
dictionary to keep track of it:
 self.line_to_data_dict[line] = self.activity
But today I tried this with a bar chart, just changing plot_date to
bar and renaming the "line," to "bars,":
 fake_data = [2,2,5]
 bars, = self.subplot.bar(fake_data, fake_data )
This gave me the error: ValueError: too many values to unpack.
OK, so if I removed the comma from "bars," so it is just "bars", it
goes through but then I cannot add it to my dictionary--I get:
> TypeError: list objects are unhashable
Help in understanding this and a better approach would be helpful. Thanks,
Che

Hi All,
Thanks a bunch for your help!
Eric: your suggestion works brilliantly ( I didn't use the interpolation
kwarg though because I like the 'smudged' look). Paul: thanks for your
suggestions but I get errors when trying to execute > *
cbar.set_ticks(np.linspace(300,350,6))*. The c.bar.set_ticks option doesn't
seem to exist..
All I now need to figure out is how to get the log scale ticklabels to show
for a different imshow plot...
cheers!
Shrividya

Hi,
An easy way is to use the data from http://www.gadm.org/ and to plot it with m.readshapefile()
HTH,
Thom
**********************
Thomas Lecocq
Geologist
Ph.D.Student (Seismology)
Royal Observatory of Belgium
**********************
Date: 2011年1月26日 16:03:27 +0800
From: eri...@gm...
To: mat...@li...
Subject: [Matplotlib-users] How to draw a specific country by basemap?
 
 
 
 
 Hi all,
 
 I'm using the Basemap module in matplotlib, it's great to draw a
 world map but for a specific country. Empirically, one can draw its
 own country by specifying the lats and longs like this example:
 http://matplotlib.sourceforge.net/basemap/doc/html/users/geography.html
 
 And you can use the method: drawcontries() to draw the country
 boundries, but all the countries are in the same colour. Does anyone
 know how to highlight a specific country? Thanks in advance.
 
 Eric
 -- 
-----BEGIN GEEK CODE BLOCK-----
Version: 3.1
GCM/CS/E/MU/P d+(-) s: a- C++ UL$ P+>++ L++ E++ W++ N+ o+>++ K+++ w !O
M-(+) V-- PS+ PE+ Y+ PGP++ t? 5? X? R+>* tv@ b++++ DI-- D G++ e++>+++@ h*
r !y+
------END GEEK CODE BLOCK------
 
------------------------------------------------------------------------------
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_______________________________________________
Matplotlib-users mailing list
Mat...@li...
https://lists.sourceforge.net/lists/listinfo/matplotlib-users 		 	 		 

Hi there:
Does matplotlib have provide any feature to allow zooming into plot
regions like a waveform viewer does?
regards,
Soumyaroop

Hi all,
I'm using the Basemap module in matplotlib, it's great to draw a world
map but for a specific country. Empirically, one can draw its own
country by specifying the lats and longs like this example:
 http://matplotlib.sourceforge.net/basemap/doc/html/users/geography.html
And you can use the method: drawcontries() to draw the country
boundries, but all the countries are in the same colour. Does anyone
know how to highlight a specific country? Thanks in advance.
Eric
-- 
-----BEGIN GEEK CODE BLOCK-----
Version: 3.1
GCM/CS/E/MU/P d+(-) s: a- C++ UL$ P+>++ L++ E++ W++ N+ o+>++ K+++ w !O
M-(+) V-- PS+ PE+ Y+ PGP++ t? 5? X? R+>* tv@ b++++ DI-- D G++ e++>+++@ h*
r !y+
------END GEEK CODE BLOCK------

On 01/25/2011 08:51 PM, Paul Ivanov wrote:
> Eric Firing, on 2011年01月25日 19:52, wrote:
>> On 01/25/2011 06:58 PM, Shrividya Ravi wrote:
>> [...]
>>> On the same topic of the colorbar, how can I readjust the colors such
>>> that it only goes between user-specified values? For example, I have one
>>> imshow plot where the values range between 0 and 350. However, I only
>>> want to look at the values between 300 and 350.
>>
>> z = np.arange(25)
>> z.shape = 5,5
>> imshow(z, vmin=10, vmax=20, interpolation='nearest')
>> colorbar(extend='both')
>>
>> Does that give the desired result?
>
> Hi Shrividya,
>
> Here's how I interpreted what was being asked, in case that
> helps.
(Your interpretation seems like a very strange thing to want to do, but 
maybe you are right. The OP can inform us.)
>
> Also, Eric, is there a reason we make an outline instead of
> just cbar.ax.set_frame_on? - My manual adjustments screw up and
> confuse whatever data cbar.outline depends on
Yes, we need to make our own outline because a colorbar does not have to 
be a rectangle; it can be pointed at either end or both ends.
Eric
>
> x = np.random.rand(100)
> y = np.random.rand(100)
> z = np.random.rand(100)
> collection = plt.scatter(x, y, c=z*350, vmin=0, vmax=350)
> cbar = plt.colorbar()
> cbar.ax.set_ylim(cbar.norm((300,350)))
> cbar.ax.set_xlim(cbar.norm((300,350))) # maintain aspect ratio
> cbar.set_ticks(np.linspace(300,350,6))
> # didn't see a quick way to fix the outline
> cbar.outline.set_visible(False)
> cbar.ax.set_frame_on(True)
> plt.draw()
>
> best,
>

Eric Firing, on 2011年01月25日 19:52, wrote:
> On 01/25/2011 06:58 PM, Shrividya Ravi wrote:
> [...]
> > On the same topic of the colorbar, how can I readjust the colors such
> > that it only goes between user-specified values? For example, I have one
> > imshow plot where the values range between 0 and 350. However, I only
> > want to look at the values between 300 and 350.
> 
> z = np.arange(25)
> z.shape = 5,5
> imshow(z, vmin=10, vmax=20, interpolation='nearest')
> colorbar(extend='both')
> 
> Does that give the desired result?
Hi Shrividya,
Here's how I interpreted what was being asked, in case that
helps. 
Also, Eric, is there a reason we make an outline instead of
just cbar.ax.set_frame_on? - My manual adjustments screw up and
confuse whatever data cbar.outline depends on
x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)
collection = plt.scatter(x, y, c=z*350, vmin=0, vmax=350)
cbar = plt.colorbar()
cbar.ax.set_ylim(cbar.norm((300,350)))
cbar.ax.set_xlim(cbar.norm((300,350))) # maintain aspect ratio
cbar.set_ticks(np.linspace(300,350,6))
# didn't see a quick way to fix the outline
cbar.outline.set_visible(False) 
cbar.ax.set_frame_on(True)
plt.draw()
best,
-- 
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 

On 01/25/2011 06:58 PM, Shrividya Ravi wrote:
[...]
> On the same topic of the colorbar, how can I readjust the colors such
> that it only goes between user-specified values? For example, I have one
> imshow plot where the values range between 0 and 350. However, I only
> want to look at the values between 300 and 350.
z = np.arange(25)
z.shape = 5,5
imshow(z, vmin=10, vmax=20, interpolation='nearest')
colorbar(extend='both')
Does that give the desired result?
Eric
>
> Any help would be greatly appreciated!
>
> Thanks a lot!
> Shrividya

Hi there,
I too want a log scale on the colorbar for an imshow plot. I have tried the
solution proposed by Jae-Joon but I cannot get the ticklabels to show. I
have tried to dynamically change the matplotlibrc settings in ipython using
mpl.rc('text',usetex=True) - where mpl = matplotlib. When I run the script I
get a whole series of errors (see in italics below) and the figure doesn't
show.
*
RuntimeError: Could not obtain dvipng version
Exception in Tkinter callback
*
Is there another way to get a colorbar with a log scale?
On the same topic of the colorbar, how can I readjust the colors such that
it only goes between user-specified values? For example, I have one imshow
plot where the values range between 0 and 350. However, I only want to look
at the values between 300 and 350.
Any help would be greatly appreciated!
Thanks a lot!
Shrividya

Hi Paul,
Sorry for the delayed response....
On Fri, Jan 21, 2011 at 5:20 PM, Paul Ivanov <piv...@gm...> wrote:
> ok, much clearer now - what you want is for your text to not be
> cut-off the way it is in the 8x8 80dpi plot? In other words,
> there's not enough space left in the figure for the axis labels
> to be completely displayed.
Even if the text was displayed, it appears to be rather smaller than
it could be.
> At the moment, I don't think there's a simple way of doing it,
> and the quick way I find myself doing is by adjusting the subplot
> parameters using:
Thanks for helping me so much with this. I'll continue to use my
convert hack until better things come down the pipe. Sorry that I am
not able to write patches to help this situation. :(
daryl