Re: [Matplotlib-users] [newbie] 2 problems: a) CJK, b) adding letters to points
Dear Gökhan,
thanks a lot for your reply and help! I could solve some of my problems,
others remain elusive.
On 16/03/10 07:59, Gökhan Sever wrote:
Probably you need a unicode font-set that contain all the characters for
those alphabets. You can look at this example to see a simple unicode
demonstration example.
Yes, I have done that, for example:
ylab = plt.ylabel(u'输入 2')
Make sure you are using the right font in your matplotlib.
Well, here I get stuck. I checked the fontList.cache, and all the
relevant CJK fonts are listed in there.
I then added some CJK font names to my /etc/matplotlibrc: (I am using
Ubuntu 9.10)
#font.sans-serif : SimHei, Adobe Song Std, Bitstream Vera Sans, ...
#font.cursive: Apple Chancery, ...
#font.fantasy: Comic Sans MS, ...
#font.monospace : Adobe Fangsong Std, Bitstream Vera Sans Mono, ...
In addition, I also defined
rcParams['font.sans-serif'] = ['SimHei']
in my Python code (attached).
All to no avail. I am at a loss. I would greatly appreciate some help here!
You have to adjust your label to get it seen. You may try with:
xlab = plt.xlabel(my x-axes label)
xlab.set_position((0.2, 0.1))
This did not yield any results. With the above code,
xlab.set_position((0.2, 0.1)), I change the position of the xlabel.
But the problem is that my graph is cut before the xlabel has a chance
to appear (see dea.png). Basically the graph ends right after the
x-axis. What I thus need is more whitespace under my x-axis. But how?
Two ways I can think of are: annotate and text functions of pyplot api.
http://matplotlib.sourceforge.net/api/pyplot_api.html
This worked fine! What I did was to define
text( 1, 4.2, u'A')
etc.
Thanks for your ideas and insights!
David
attachment: dea.png#!/usr/bin/python
# -*- coding: utf-8 -*-
# http://suyonggui.blog.sohu.com/115269389.html
# http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html
import matplotlib.pyplot as plt
from pylab import *
#rcParams['figure.figsize'] = 3.56, 2.22
rcParams['figure.figsize'] = 3.6, 2.3
rcParams['axes.labelsize'] = 12.0
rcParams['font.sans-serif'] = ['SimHei']
label = ('A', 'B', 'C', 'E')
shuru1 = [1, 2, 4, 5]
shuru2 = [4, 2, 1, 1]
plt.plot([0,3], [0,3], 'k--', lw=1)
plt.plot([3], [3], 'ko', ms=4)
plt.plot(shuru1, shuru2, 'k-', lw=1)
plt.plot(shuru1, shuru2, 'ko', ms=4)
plt.axis([0, 6, 0, 5])
# plt.title('Title')
xlab = plt.xlabel(u'è¾å
¥ 1')
xlab.set_position((0.2, 0.1))
ylab = plt.ylabel(u'è¾å
¥ 2')
text( 1, 4.2, u'A')
text( 1.95, 2.2, u'B')
text( 4, 1.2, u'C')
text( 5, 1.2, u'E')
text( 3, 3.2, u'D')
plt.grid(True)
plt.show()
plt.savefig('dea.png')
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EuroPython 2010 - 17th to 24th July 2010 EuroPython is a conference for the Python programming language community, including the Django, Zope and Plone communities. It is aimed at everyone in the Python community, of all skill levels, both users and programmers. Last year's conference was the largest open source conference in the UK and one of the largest community organised software conferences in Europe. This year EuroPython will be held from the 17th to 24th July in Birmingham, UK. It will include over 100 talks, tutorials, sprints and social events. Registration Registration is open now at: http://www.europython.eu/registration/ For the best registration rates, book as soon as you can! Extra Early Bird closes soon, after which normal Early Bird rate will apply until 10th May Talks, Activities and Events Do you have something you wish to present at EuroPython? You want to give a talk, run a tutorial or sprint? Go to http://www.europython.eu/talks/cfp/ for information and advice! Go to http://wiki.europython.eu/Sprints to plan a sprint! Help Us Out --- EuroPython is run by volunteers, like you! We could use a hand, and any contribution is welcome. Go to http://wiki.europython.eu/Helping to join us! Go to http://www.europython.eu/contact/ to contact us directly! Sponsors Sponsoring EuroPython is a unique opportunity to affiliate with this prestigious conference and to reach a large number of Python users from computing professionals to academics, from entrepreneurs to motivated and well-educated job seekers. http://www.europython.eu/sponsors/ Spread the Word --- We are a community-run not-for-profit conference. Please help to spread the word by distributing this announcement to colleagues, project mailing lists, friends, your blog, Web site, and through your social networking connections. Take a look at our publicity resources: http://wiki.europython.eu/Publicity General Information --- For more information about the conference, please visit the official site: http://www.europython.eu/ Looking forward to see you! The EuroPython Team -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Alpha compositing of ~60000 line p lots takes forever
I want to overlay many line plots using alpha transparency. However, plotting them in Matplotlib takes about O(n**2) time, and I think I may be running into memory limitations as well. As a simple benchmark, I used IPython to run alco.ipy (below), which runs alco.py for an increasing number of data series. Extrapolating from this, plotting 6 series would take something like 200 minutes. This is similar to my actual use case, which takes about 3 hours to finish a plot. Zooming in and saving again is much faster, taking only about 30 seconds. I would appreciate suggestions on how to speed this up. For instance: Is there a memoryless canvas object that I could draw on, just accumulating the alpha in each pixel: new_alpha = old_alpha + (1 - old_alpha) * this_alpha. Failing that, I could do it manually by keeping a Numpy array of the pixels in the image. For each series, find the x values corresponding to each column index, then interpolate to find the row index corresponding to each y value. Finally, use imshow() or something to add axes and annotation. That you in advance for any help. Best regards, Jon Olav == Output of alco.ipy == The columns are number of series and seconds. In [8]: run alco.ipy 1000 9.07 2000 24.8 3000 44.73 4000 67.85 5000 95.67 6000 135.1 7000 177.82 8000 226.03 9000 278.32 1 340.81 == alco.ipy == n, t = [], [] for i in range(1000, 10001, 1000): n.append(i) ti = !python alco.py $i t.append(float(ti.s)) print n[-1], t[-1] plot(n, t, '.-') == alco.py == Alpha compositing of line plots. Usage: python alco.py NSERIES ALPHA from sys import argv import numpy as np import matplotlib as mpl mpl.use(agg) # noninteractive plotting from pylab import * n = int(argv[1]) try: alpha = float(argv[2]) except IndexError: alpha = 0.02 # generate some data x = np.arange(200) for i in range(n): y = np.sin(x / (2 * np.pi * x[-1] * i)) plot(x, y, 'k-', alpha=alpha) savefig(test.png) -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Alpha compositing of ~60000 line plots takes forever
If you're plotting lots of lines, do not use plot but use LineCollection instead. http://matplotlib.sourceforge.net/examples/api/collections_demo.html http://matplotlib.sourceforge.net/api/collections_api.html#matplotlib.collections.LineCollection Here is slightly modified version of your code that uses LineCollection (but I haven't check if the code is correct). With my not so good macbook, it took me 3 sec for 6000 lines and it seems like O(n) to me. Regards, -JJ ax = subplot(111) x = np.arange(200) yy = [np.array((x, np.sin(x / (2 * np.pi * x[-1] * i) for i in range(n)] yyt = [np.transpose(y1) for y1 in yy] from matplotlib.collections import LineCollection lc = LineCollection(yyt, colors=[(0, 0, 0, alpha)]) ax.add_collection(lc) ax.autoscale_view() On Tue, Mar 16, 2010 at 7:26 AM, Jon Olav Vik jono...@gmail.com wrote: I want to overlay many line plots using alpha transparency. However, plotting them in Matplotlib takes about O(n**2) time, and I think I may be running into memory limitations as well. As a simple benchmark, I used IPython to run alco.ipy (below), which runs alco.py for an increasing number of data series. Extrapolating from this, plotting 6 series would take something like 200 minutes. This is similar to my actual use case, which takes about 3 hours to finish a plot. Zooming in and saving again is much faster, taking only about 30 seconds. I would appreciate suggestions on how to speed this up. For instance: Is there a memoryless canvas object that I could draw on, just accumulating the alpha in each pixel: new_alpha = old_alpha + (1 - old_alpha) * this_alpha. Failing that, I could do it manually by keeping a Numpy array of the pixels in the image. For each series, find the x values corresponding to each column index, then interpolate to find the row index corresponding to each y value. Finally, use imshow() or something to add axes and annotation. That you in advance for any help. Best regards, Jon Olav == Output of alco.ipy == The columns are number of series and seconds. In [8]: run alco.ipy 1000 9.07 2000 24.8 3000 44.73 4000 67.85 5000 95.67 6000 135.1 7000 177.82 8000 226.03 9000 278.32 1 340.81 == alco.ipy == n, t = [], [] for i in range(1000, 10001, 1000): n.append(i) ti = !python alco.py $i t.append(float(ti.s)) print n[-1], t[-1] plot(n, t, '.-') == alco.py == Alpha compositing of line plots. Usage: python alco.py NSERIES ALPHA from sys import argv import numpy as np import matplotlib as mpl mpl.use(agg) # noninteractive plotting from pylab import * n = int(argv[1]) try: alpha = float(argv[2]) except IndexError: alpha = 0.02 # generate some data x = np.arange(200) for i in range(n): y = np.sin(x / (2 * np.pi * x[-1] * i)) plot(x, y, 'k-', alpha=alpha) savefig(test.png) -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [newbie] 2 problems: a) CJK, b) adding letters to points
On Tue, Mar 16, 2010 at 3:30 AM, David ld...@gmx.net wrote: On 16/03/10 07:59, Gökhan Sever wrote: Probably you need a unicode font-set that contain all the characters for those alphabets. You can look at this example to see a simple unicode demonstration example. Yes, I have done that, for example: ylab = plt.ylabel(u'输入 2') if you use tex for rendering text, see http://matplotlib.sourceforge.net/users/usetex.html#usetex-with-unicode If not, the best option I know of is to set the font name directly, see http://old.nabble.com/Russian-labels-without-LaTeX-td24538302.html Matplotlib does not support fontset, so you can only use glyphs in the font you specified. Regards, -JJ -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [newbie] 2 problems: a) CJK, b) adding letters to points
On Tue, Mar 16, 2010 at 3:30 AM, David ld...@gmx.net wrote: This did not yield any results. With the above code, xlab.set_position((0.2, 0.1)), I change the position of the xlabel. But the problem is that my graph is cut before the xlabel has a chance to appear (see dea.png). Basically the graph ends right after the x-axis. What I thus need is more whitespace under my x-axis. But how? adjust your subplot parameters. plt.subplots_adjust(bottom=0.2) see http://matplotlib.sourceforge.net/faq/howto_faq.html#move-the-edge-of-an-axes-to-make-room-for-tick-labels http://matplotlib.sourceforge.net/faq/howto_faq.html#automatically-make-room-for-tick-labels -JJ -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] how can I show some figures, but not others?
I have a script that calls several subroutines, each of which makes a different figure. One of these routines makes lots of figures for use in a webpage, all of which are saved as they are made. When I call show() at the end of the script it is showing all the figures (as one might expect), but what I really want is only some of the figures to be brought up in the GUI. Is there a way of specifying which figures show() shows (I can't find anything on the webpage)? -- Cheers, Nick Schurch Data Analysis Group (The Barton Group), School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, Scotland, UK Tel: +44 1382 388707 Fax: +44 1382 345 893 -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Alpha compositing of ~60000 line p lots takes forever
Jae-Joon Lee lee.j.j...@... writes: If you're plotting lots of lines, do not use plot but use LineCollection instead. http://matplotlib.sourceforge.net/examples/api/collections_demo.html http://matplotlib.sourceforge.net/api/ collections_api.html#matplotlib.collections.LineCollection Here is slightly modified version of your code that uses LineCollection (but I haven't check if the code is correct). With my not so good macbook, it took me 3 sec for 6000 lines and it seems like O(n) to me. Thank you, thank you, thank you. This is just as convenient, 50% faster even for 1000 series, and runtime does indeed scale as O(n) up to 1 series. The projected speedup for 6 series was 40x. However, in my actual use case it was at least 400x: Finishing in 2 min 17 sec rather than not getting past halfway in 16 hours. (The extra difference is probably due to better memory usage. Still, LineCollection requires O(n) memory, whereas manually updating a bitmap would only use O(1) memory, where 1 = size of bitmap. However, I hope I never have to do that...) May the hours and hours you have saved me be added to your life! 8-) Jon Olav -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how can I show some figures, but not others?
On Tuesday 16 March 2010 14:17:26 Nick Schurch wrote: I have a script that calls several subroutines, each of which makes a different figure. One of these routines makes lots of figures for use in a webpage, all of which are saved as they are made. When I call show() at the end of the script it is showing all the figures (as one might expect), but what I really want is only some of the figures to be brought up in the GUI. Is there a way of specifying which figures show() shows (I can't find anything on the webpage)? You can close some of the figures before calling show: pyplot.close(fig) or pyplot.close(fig_number) Kind regards, Matthias -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Alpha compositing of ~60000 line plots takes forever
On Tue, Mar 16, 2010 at 8:46 AM, Jon Olav Vik jono...@gmail.com wrote:
Thank you, thank you, thank you.
This is just as convenient, 50% faster even for 1000 series, and runtime does
indeed scale as O(n) up to 1 series. The projected speedup for 6
series
was 40x. However, in my actual use case it was at least 400x: Finishing in 2
min 17 sec rather than not getting past halfway in 16 hours.
(The extra difference is probably due to better memory usage. Still,
LineCollection requires O(n) memory, whereas manually updating a bitmap would
only use O(1) memory, where 1 = size of bitmap. However, I hope I never have
to
do that...)
May the hours and hours you have saved me be added to your life! 8-)
Since you are granting extra life blessings, I thought I should add
something to the mix. You should be able to achieve something close
to this using the animation blit API. There is a little hackery at
the end to use the renderer to directly dump a PNG and thereby
circumvent the normal figure.canvas.draw pipeline, but the advantage
is you render directly to the canvas and save no intermediaries. See
the examples and tutorial at
http://matplotlib.sourceforge.net/examples/animation/index.html
http://www.scipy.org/Cookbook/Matplotlib/Animations
Here's some example code::
import matplotlib._png as _png
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(111)
n = 1
line, = ax.plot([],[], alpha=1)
x = np.arange(200)
fig.canvas.draw()
ax.axis([0, 200, -1, 1])
for i in range(n):
if (i%100)==0: print i
yy = np.sin(x / (2 * np.pi * x[-1] * i))
line.set_data(x, yy)
ax.draw_artist(line)
fig.canvas.blit(ax.bbox)
filename = 'test.png'
renderer = fig.canvas.get_renderer()
_png.write_png(renderer._renderer.buffer_rgba(0, 0),
renderer.width, renderer.height,
filename, fig.dpi)
JDH
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[Matplotlib-users] How to create 3D plots?
Hi,
I would like to create 3D plots. A search revealed the following page:
http://www.scipy.org/Cookbook/Matplotlib/mplot3D
which explains to install matplotlib version 0.99 to use the 3D code.
Unfortunately, after installingmatplotlib-0.99.1.1 (from
matplotlib-0.99.1.2.tar.gz) I am not able to use the 3D code. The
command that show that the correct version is used together with the
error is shown below.
Any idea how I can use this code? Do I have to downgrade to the 0.91.x
maintenance branch? Or do you suggest to use mayavi
(http://code.enthought.com/projects/mayavi/docs/development/html/mayavi/mlab.html)?
I also tried to install the latter, after 1 hour of installing code
and requirements and cmake and easyinstall.. I got the error that VTK
is not installed. So: Any idea how to create a simple 3D scatter plot,
seen from any arbitrary angle?
Thanks
Alex
In [1]: import matplotlib
In [2]: matplotlib.__version__
Out[2]: '0.99.1.1'
In [3]: import matplotlib.axes3d as p3
---
NotImplementedError Traceback (most recent call last)
/home/alex/Documents/Job/Travel/2010-03_LSC_Pasadena/3D/ipython
console in module()
/usr/lib/python2.6/site-packages/matplotlib/axes3d.py in module()
1 raise NotImplementedError('axes3d is not supported in
matplotlib-0.98. You may want to try the 0.91.x maintenance branch')
NotImplementedError: axes3d is not supported in matplotlib-0.98. You
may want to try the 0.91.x maintenance branch
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Re: [Matplotlib-users] How to create 3D plots?
Hello,
Unfortunately, the mplot3D page on the SciPy cookbook is not up to date.
The 3D code in mplot3d has been moved to a toolkit and needs to be
imported as is seen in the examples found here:
http://matplotlib.sourceforge.net/examples/mplot3d/index.html
So: Any idea how to create a simple 3D scatter plot,seen from any
arbitrary angle?
You can rotate the axis in mplot3d :-)
I would say from your error log (the file matplotlib/axes3d.py exists
whereas it does not in my mpl 0.99.0) that you did not uninstall the
old matplotlib cleanly. I suggest that you clean the existing
matplotlib completely and reinstall from the tarball).
Pierre
Le 16 mars 10 à 00:38, Alexander Dietz a écrit :
Hi,
I would like to create 3D plots. A search revealed the following page:
http://www.scipy.org/Cookbook/Matplotlib/mplot3D
which explains to install matplotlib version 0.99 to use the 3D code.
Unfortunately, after installingmatplotlib-0.99.1.1 (from
matplotlib-0.99.1.2.tar.gz) I am not able to use the 3D code. The
command that show that the correct version is used together with the
error is shown below.
Any idea how I can use this code? Do I have to downgrade to the 0.91.x
maintenance branch? Or do you suggest to use mayavi
(http://code.enthought.com/projects/mayavi/docs/development/html/
mayavi/mlab.html)?
I also tried to install the latter, after 1 hour of installing code
and requirements and cmake and easyinstall.. I got the error that VTK
is not installed. So: Any idea how to create a simple 3D scatter plot,
seen from any arbitrary angle?
Thanks
Alex
In [1]: import matplotlib
In [2]: matplotlib.__version__
Out[2]: '0.99.1.1'
In [3]: import matplotlib.axes3d as p3
--
-
NotImplementedError Traceback (most recent
call last)
/home/alex/Documents/Job/Travel/2010-03_LSC_Pasadena/3D/ipython
console in module()
/usr/lib/python2.6/site-packages/matplotlib/axes3d.py in module()
1 raise NotImplementedError('axes3d is not supported in
matplotlib-0.98. You may want to try the 0.91.x maintenance branch')
NotImplementedError: axes3d is not supported in matplotlib-0.98. You
may want to try the 0.91.x maintenance branch
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[Matplotlib-users] savefig 0.91
Hi folks I'm using ubuntu 8.04 lts and matplotlib 0.91 I cannot upgrade in this moment. On my app (for web) I fix several errors (because I did her in 0.99) My last error (I think it is) is on savefig It tells me that cannot open file on log error, appears on write_png method. Is this permission on directory? or a bug? thanks in advanced -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] How do you add contrasting text to color image
I have I have an image with both light and dark regions. I want to write text on it in a color that contrasts with the underlying image color. Right now if I make the text black, it is not very legible if the underling color is dark. Similarly, if I make the text white, it is not legible if the underlying color is light. (using gray text will not work) One way to solve the problem would be to: -produce the image e.g. im1=plt.imshow (zM,origin='lower',interpolation='hanning',extent=None) -get the underlying color from the image where I want to place the text Need help here. How do I get the color from im1 -calculate a contrasting color Need help here -plot the text in the contrasting color Another way would be to use a font with a dark edge and light interior (or vice versa) but I know of know such font for matplotlib. Any help appreciated... -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [newbie] 2 problems: a) CJK, b) adding letters to points
On 16/03/10 20:39, Jae-Joon Lee wrote: adjust your subplot parameters. plt.subplots_adjust(bottom=0.2) Yep, that did the trick! thanks Jae-Joon and Gökhan! David -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How do you add contrasting text to color image
On 3/16/10 10:10 AM, PaterMaximus wrote: I have I have an image with both light and dark regions. I want to write text on it in a color that contrasts with the underlying image color. Right now if I make the text black, it is not very legible if the underling color is dark. Similarly, if I make the text white, it is not legible if the underlying color is light. (using gray text will not work) One way to solve the problem would be to: -produce the image e.g. im1=plt.imshow (zM,origin='lower',interpolation='hanning',extent=None) -get the underlying color from the image where I want to place the text Need help here. How do I get the color from im1 -calculate a contrasting color Need help here -plot the text in the contrasting color Another way would be to use a font with a dark edge and light interior (or vice versa) but I know of know such font for matplotlib. Any help appreciated... You could put your text inside a colored box - see e.g. http://matplotlib.sourceforge.net/users/text_intro.html http://matplotlib.sourceforge.net/users/text_intro.html?highlight=text%20box -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov 325 BroadwayOffice : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] savefig 0.91
Can you please post the entire traceback? Mike Samuel Teixeira Santos wrote: Hi folks I'm using ubuntu 8.04 lts and matplotlib 0.91 I cannot upgrade in this moment. On my app (for web) I fix several errors (because I did her in 0.99) My last error (I think it is) is on savefig It tells me that cannot open file on log error, appears on write_png method. Is this permission on directory? or a bug? thanks in advanced -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How do you add contrasting text to color image
On Tue, Mar 16, 2010 at 12:10 PM, PaterMaximus patermaxi...@got2know.net wrote: Another way would be to use a font with a dark edge and light interior (or vice versa) but I know of know such font for matplotlib. FYI, the svn version of matplotlib supports this. http://matplotlib.sourceforge.net/trunk-docs/examples/pylab_examples/patheffect_demo.html Regards, -JJ -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] How to 'rotate' a 3D plot?
Hi, I have successfully created a 3D scatter plot with mplot3d, but how can I rotate the plot around e.g. the z-axis? I do not want to use the user interface but I would like to use a command to do that. But I could not find good documentation anywhere and the commands attributed to the Axes3D also do not show anything obvious. Thanks Alex -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] savefig 0.91
I fix it. It was a dumb error I using '\' on windows and on ubuntu-linux I must use '/'... sorry... and thanks 2010/3/16 Michael Droettboom md...@stsci.edu Can you please post the entire traceback? Mike Samuel Teixeira Santos wrote: Hi folks I'm using ubuntu 8.04 lts and matplotlib 0.91 I cannot upgrade in this moment. On my app (for web) I fix several errors (because I did her in 0.99) My last error (I think it is) is on savefig It tells me that cannot open file on log error, appears on write_png method. Is this permission on directory? or a bug? thanks in advanced -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] savefig 0.91
Samuel Teixeira Santos wrote: I fix it. It was a dumb error I using '\' on windows and on ubuntu-linux I must use '/'... note that '\' works in Windows for the most part. Or, better yet, use os.path.join() and friends. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/ORR(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to 'rotate' a 3D plot?
There is an uncommented, and therefore undocumented function: axes3d.view_init(elev, azim) that you can use to rotate the axes. If you have not already, I suggest you use the current SVN version of MPL instead of the 0.99.1 version. Mplot3d has some more features in the trunk, but it is still rough around the edges. -Ben -Original Message- From: Alexander Dietz [mailto:alexanderdie...@googlemail.com] Sent: Tuesday, March 16, 2010 1:25 PM To: Matplotlib-users@lists.sourceforge.net Subject: [Matplotlib-users] How to 'rotate' a 3D plot? Hi, I have successfully created a 3D scatter plot with mplot3d, but how can I rotate the plot around e.g. the z-axis? I do not want to use the user interface but I would like to use a command to do that. But I could not find good documentation anywhere and the commands attributed to the Axes3D also do not show anything obvious. Thanks Alex -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to 'rotate' a 3D plot?
Thanks a lot, that seems to work! Alex On Tue, Mar 16, 2010 at 18:54, Ben Axelrod baxel...@coroware.com wrote: There is an uncommented, and therefore undocumented function: axes3d.view_init(elev, azim) that you can use to rotate the axes. If you have not already, I suggest you use the current SVN version of MPL instead of the 0.99.1 version. Mplot3d has some more features in the trunk, but it is still rough around the edges. -Ben -Original Message- From: Alexander Dietz [mailto:alexanderdie...@googlemail.com] Sent: Tuesday, March 16, 2010 1:25 PM To: Matplotlib-users@lists.sourceforge.net Subject: [Matplotlib-users] How to 'rotate' a 3D plot? Hi, I have successfully created a 3D scatter plot with mplot3d, but how can I rotate the plot around e.g. the z-axis? I do not want to use the user interface but I would like to use a command to do that. But I could not find good documentation anywhere and the commands attributed to the Axes3D also do not show anything obvious. Thanks Alex -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] [CJK] can create png but not eps
Hello everybody,
I have a final problem with my graph. As a last step I produce an *.eps
file that I use in conjunction with LaTeX.
Here is the last part of my code:
# plt.title('Title')
xlab = plt.xlabel(u'输入 1')
#xlab.set_position((0.2, 0.1))
ylab = plt.ylabel(u'输入 2')
plt.grid(True)
plt.subplots_adjust(bottom=0.2)
plt.show()
plt.savefig('dea.eps')
plt.show() produces the correct output,
but
plt.savefig('dea.eps') produces an error (the error message is attached).
The error is clearly linked to the Chinese, as it runs through if I take
the Chinese out of the code.
Also, plt.savefig('dea.png') works fine.
Could anyone indicate where I would have to look for the mistake? The
matplotlibrc should be fine, but I am not sure.
Your help would be greatly appreciated!
Many thanks,
David
In [63]: run dea.py
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
---
RuntimeError Traceback (most recent call last)
/home/david/Documents/PhD/Dissertation/LaTeX/figures/dea.py in module()
37 plt.subplots_adjust(bottom=0.2)
38 plt.show()
--- 39 plt.savefig('dea.eps')
40
41
/usr/lib/pymodules/python2.6/matplotlib/pyplot.pyc in savefig(*args, **kwargs)
354 def savefig(*args, **kwargs):
355 fig = gcf()
-- 356 return fig.savefig(*args, **kwargs)
357 if Figure.savefig.__doc__ is not None:
358 savefig.__doc__ = dedent(Figure.savefig.__doc__)
/usr/lib/pymodules/python2.6/matplotlib/figure.pyc in savefig(self, *args,
**kwargs)
1031 patch.set_alpha(0.0)
1032
- 1033 self.canvas.print_figure(*args, **kwargs)
1034
1035 if transparent:
/usr/lib/pymodules/python2.6/matplotlib/backend_bases.pyc in print_figure(self,
filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
1474 orientation=orientation,
1475 bbox_inches_restore=_bbox_inches_restore,
- 1476 **kwargs)
1477 finally:
1478 if bbox_inches and restore_bbox:
/usr/lib/pymodules/python2.6/matplotlib/backend_bases.pyc in print_eps(self,
*args, **kwargs)
1327 from backends.backend_ps import FigureCanvasPS # lazy import
1328 ps = self.switch_backends(FigureCanvasPS)
- 1329 return ps.print_eps(*args, **kwargs)
1330
1331 def print_pdf(self, *args, **kwargs):
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
print_eps(self, outfile, *args, **kwargs)
853
854 def print_eps(self, outfile, *args, **kwargs):
-- 855 return self._print_ps(outfile, 'eps', *args, **kwargs)
856
857
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
_print_ps(self, outfile, format, *args, **kwargs)
886 self._print_figure(outfile, format, imagedpi, facecolor,
edgecolor,
887orientation, isLandscape, papertype,
-- 888**kwargs)
889
890 def _print_figure(self, outfile, format, dpi=72, facecolor='w',
edgecolor='w',
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
_print_figure(self, outfile, format, dpi, facecolor, edgecolor, orientation,
isLandscape, papertype, **kwargs)
978 bbox_inches_restore=_bbox_inches_restore)
979
-- 980 self.figure.draw(renderer)
981
982 if dryrun: # return immediately if dryrun (tightbbox=True)
/usr/lib/pymodules/python2.6/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *kl)
44 def draw_wrapper(artist, renderer, *kl):
45 before(artist, renderer)
--- 46 draw(artist, renderer, *kl)
47 after(artist, renderer)
48
/usr/lib/pymodules/python2.6/matplotlib/figure.pyc in draw(self, renderer)
772
773 # render the axes
-- 774 for a in self.axes: a.draw(renderer)
775
776 # render the figure text
/usr/lib/pymodules/python2.6/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *kl)
44 def draw_wrapper(artist, renderer, *kl):
45 before(artist, renderer)
--- 46 draw(artist, renderer, *kl)
47 after(artist, renderer)
48
Re: [Matplotlib-users] [CJK] can create png but not eps
The font you are using (SimHei) does not have any glyph names -- these
are used in the Postscript backend to refer to glyphs outside of the
ASCII range. More specifically, it looks like it has at least one
invalid glyph name (glyph names can only contain ASCII characters) --
loading it in FontForge complains about this. I haven't come across such
a font before, but maybe that's common in CJK fonts. I don't know. I'm
looking through the spec to find a way that glyphs can be referenced
without a name, but I'm not finding one. Note, the PDF backend has the
same issue.
Do you have the same problem if you remove SimHei from the
font.sans-serif list and thus use Adobe Song Std instead? (I was able
to find an online download of SimHei to test with, but not Adobe Song Std).
As a workaround, the Cairo backend seems to handle this font just fine.
You can add
import matplotlib
matplotlib.use('GtkCairo')
to the top of your script.
Mike
David wrote:
Hello everybody,
I have a final problem with my graph. As a last step I produce an
*.eps file that I use in conjunction with LaTeX.
Here is the last part of my code:
# plt.title('Title')
xlab = plt.xlabel(u'输入 1')
#xlab.set_position((0.2, 0.1))
ylab = plt.ylabel(u'输入 2')
plt.grid(True)
plt.subplots_adjust(bottom=0.2)
plt.show()
plt.savefig('dea.eps')
plt.show() produces the correct output,
but
plt.savefig('dea.eps') produces an error (the error message is attached).
The error is clearly linked to the Chinese, as it runs through if I
take the Chinese out of the code.
Also, plt.savefig('dea.png') works fine.
Could anyone indicate where I would have to look for the mistake? The
matplotlibrc should be fine, but I am not sure.
Your help would be greatly appreciated!
Many thanks,
David
--
Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
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--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA
--
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Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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Re: [Matplotlib-users] [CJK] can create png but not eps
Dear Michael,
thanks for your input. So far, though, no luck.
I have deleted SimHei in matplotlibrc, and I can then continue
generating CJK characters. The png is generated, the eps is not. Thus,
no change. The error output is also the same:
RuntimeError: Face has no glyph names
WARNING: Failure executing file: dea.py
I have tried
import matplotlib
matplotlib.use('GtkCairo')
as you suggested, but they had no effect whatsoever. Even the error
output is the same.
I attach my code, maybe that gives a hint.
Note: in line 327 and 328 of the matplotlibrc I have added
ps.fonttype=42
pdf.fonttype=42
whereas I have uncommented
pdf.fonttype: 3
Any ideas? I would most welcome any hint and suggestion!
Many thanks,
David
On 17/03/10 04:15, Michael Droettboom wrote:
The font you are using (SimHei) does not have any glyph names -- these
are used in the Postscript backend to refer to glyphs outside of the
ASCII range. More specifically, it looks like it has at least one
invalid glyph name (glyph names can only contain ASCII characters) --
loading it in FontForge complains about this. I haven't come across such
a font before, but maybe that's common in CJK fonts. I don't know. I'm
looking through the spec to find a way that glyphs can be referenced
without a name, but I'm not finding one. Note, the PDF backend has the
same issue.
Do you have the same problem if you remove SimHei from the
font.sans-serif list and thus use Adobe Song Std instead? (I was able
to find an online download of SimHei to test with, but not Adobe Song Std).
As a workaround, the Cairo backend seems to handle this font just fine.
You can add
import matplotlib
matplotlib.use('GtkCairo')
to the top of your script.
Mike
David wrote:
Hello everybody,
I have a final problem with my graph. As a last step I produce an
*.eps file that I use in conjunction with LaTeX.
Here is the last part of my code:
# plt.title('Title')
xlab = plt.xlabel(u'输入 1')
#xlab.set_position((0.2, 0.1))
ylab = plt.ylabel(u'输入 2')
plt.grid(True)
plt.subplots_adjust(bottom=0.2)
plt.show()
plt.savefig('dea.eps')
plt.show() produces the correct output,
but
plt.savefig('dea.eps') produces an error (the error message is attached).
The error is clearly linked to the Chinese, as it runs through if I
take the Chinese out of the code.
Also, plt.savefig('dea.png') works fine.
Could anyone indicate where I would have to look for the mistake? The
matplotlibrc should be fine, but I am not sure.
Your help would be greatly appreciated!
Many thanks,
David
--
Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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attachment: dea.png#!/usr/bin/python
# -*- coding: utf-8 -*-
# http://suyonggui.blog.sohu.com/115269389.html
# http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html
#import matplotlib
#matplotlib.use('GtkCairo')
import matplotlib.pyplot as plt
from pylab import *
#rcParams['figure.figsize'] = 3.56, 2.22
rcParams['figure.figsize'] = 4, 3
rcParams['axes.labelsize'] = 14.0
#rcParams['font.sans-serif'] = ['Adobe Song Std']
label = ('A', 'B', 'C', 'E')
shuru1 = [1, 2, 4, 5]
shuru2 = [4, 2, 1, 1]
plt.plot([0,3], [0,3], 'k--', lw=2)
plt.plot([3], [3], 'ko', ms=6)
plt.plot(shuru1, shuru2, 'k-', lw=2)
plt.plot(shuru1, shuru2, 'ko', ms=6)
plt.axis([0, 6, 0, 5])
# plt.title('Title')
xlab = plt.xlabel(u'è¾å
¥ 1')
ylab = plt.ylabel(u'è¾å
¥ 2')
text( 1, 4.2, u'A')
text( 1.95, 2.2, u'B')
text( 4, 1.2, u'C')
text( 5, 1.2, u'E')
text( 3, 3.2, u'D')
plt.grid(True)
plt.subplots_adjust(bottom=0.2)
#plt.show()
plt.savefig('dea.png')
plt.savefig('dea.eps')
--
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proactively, and fine-tune applications for parallel performance.
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Re: [Matplotlib-users] installling on ubuntu
For the Windows machine, if you installed with the superpack, you should find an deinstaller in the Python directory called Removematplotlib.exe, I *guess* it only removes in fact the matplotlib package. You can also safely rename (or delete) the old matplotlib directory and the mpl_toolkits directory in Python-dir\Lib\site-packages\. Ah I see, you mean how to deinstall on Ubuntu? I would recommend to rename the old folders in your site-package directory to, say, matplotlib_ and mpl_toolkits_, and when you are shure later you could be able to safely remove. Does Ubuntu have a package mgr? Hope I could help, Friedrich 2010/3/16 Samuel Teixeira Santos arcano...@gmail.com: Hi all... On this afternoon I installed on my ubuntu 8.04 server the python-matplotlib package and his dependencies. but If I pay attention right that package installed matplotlib 0.91 on my local desktop wich run windows, I installed the last version... Anyone knows how do I de-install only matplotlib pack, let only the dependancies and install the most recent version? -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Is there a maximum number of x tickmarks?
I have an issue with showing more than 81 tick marks on an X axis and I am trying to determine a way around it. Background... I am plotting vectors in which each element represents a different variable and I really do want to see the labels associated with each element. The vectors may be only 8 elements long, or as much as 110. When there are more than say 40 elements, I usually split the plot into two plots contained in a single figure window (e.g., plotting elements 0:30 in fig.add_subplot(211) and 30:60 in fig.add_subplot(212)). Here are a couple of examples... Only 41 variables: http://old.nabble.com/file/p27924845/Factor_2_TrainingProfiles.png 71 variables: http://old.nabble.com/file/p27924845/Factor_2_TrainingProfiles.jpeg I have a vector with a 105 elements and before I split things into three plots I wanted to see what cramming 53 or so variables into a single set of axes would look like. But, my code that works for these cases does not show enough tickmarks for the 105 element data. Here is an example that you can copy and paste to see for yourself. import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator fig = plt.figure(figsize=[12,7]) ax = fig.add_subplot(111) ax.plot(range(110)) fig.canvas.draw() ints = range(1,111) ints = [str(num) for num in ints] ax.xaxis.set_major_locator(MaxNLocator(110)) xtickNames = plt.setp(ax, xticklabels=ints) plt.setp(xtickNames, rotation=90, fontsize=7); If you play with the argument to MaxNLocator, you'll see how for smaller values (like 40) things work as expected (or at least how I have shown the code has worked for the smaller data sets). I have been poking around trying to see what options I have and have not found anything to get past this limit. Before I start diving into source code, can anyone suggest -Is there a limit? -Is there an obvious way to accomplish what I need? Ultimately, I may split large vectors like this into more than two plots but hitting that limit has made me want to investigate why. Thanks! - Josh Hemann Statistical Advisor http://www.vni.com/ Visual Numerics jhem...@vni.com | P 720.407.4214 | F 720.407.4199 -- View this message in context: http://old.nabble.com/Is-there-a-maximum-number-of-x-tickmarks--tp27924845p27924845.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Is there a maximum number of x tickmarks?
On Tue, Mar 16, 2010 at 4:37 PM, Josh Hemann jhem...@vni.com wrote: I have an issue with showing more than 81 tick marks on an X axis and I am trying to determine a way around it. Background... I am plotting vectors in which each element represents a different variable and I really do want to see the labels associated with each element. The vectors may be only 8 elements long, or as much as 110. When there are more than say 40 elements, I usually split the plot into two plots contained in a single figure window (e.g., plotting elements 0:30 in fig.add_subplot(211) and 30:60 in fig.add_subplot(212)). Here are a couple of examples... Only 41 variables: http://old.nabble.com/file/p27924845/Factor_2_TrainingProfiles.png 71 variables: http://old.nabble.com/file/p27924845/Factor_2_TrainingProfiles.jpeg I have a vector with a 105 elements and before I split things into three plots I wanted to see what cramming 53 or so variables into a single set of axes would look like. But, my code that works for these cases does not show enough tickmarks for the 105 element data. Here is an example that you can copy and paste to see for yourself. import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator fig = plt.figure(figsize=[12,7]) ax = fig.add_subplot(111) ax.plot(range(110)) fig.canvas.draw() ints = range(1,111) ints = [str(num) for num in ints] ax.xaxis.set_major_locator(MaxNLocator(110)) xtickNames = plt.setp(ax, xticklabels=ints) plt.setp(xtickNames, rotation=90, fontsize=7); If you play with the argument to MaxNLocator, you'll see how for smaller values (like 40) things work as expected (or at least how I have shown the code has worked for the smaller data sets). I have been poking around trying to see what options I have and have not found anything to get past this limit. Before I start diving into source code, can anyone suggest -Is there a limit? -Is there an obvious way to accomplish what I need? Ultimately, I may split large vectors like this into more than two plots but hitting that limit has made me want to investigate why. Thanks! Oh these busy chemical compound plots :) Are those results of gas chromatography analysis? Something like below produces a nice fully plotted output here. Could you give it a try? import matplotlib.pyplot as plt plt.plot(range(100)) locs, labels = plt.xticks(range(100), range(100)) plt.setp(labels, rotation=90, fontsize=7) plt.show() -- Gökhan -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Contour with locator=FixedLocator(...) drops first and last contours from the list.
Eric, Thank you, thank you, thank you. This not only fixes the problem I reported with with FixedLocator(..) but also another one where I was using MultipleLocator(..) and getting the same problem issue with dropping first and last contours. The later isn't as easy to work-around but your change fixed it. David Smith On Sat, Mar 13, 2010 at 12:30 PM, Eric Firing efir...@hawaii.edu wrote: David Smith wrote: This is a bug report. I am using matplotlib 0.99.1 on Windows. When using contour with the keyword argument locator=ticker.FixedLocator(levels), the plot is always dropping the first and last contour level. If there are less than 3 levels, contour.py throws an exception. My workaround is to duplicate the first and last levels when using the fixed locator: e.g. my argument becomes locator=FixedLocator( [levels[0]] + levels + [levels[-1]] ) I have traced the problem to the last line in contour.py, method _autolev() which strips the first and last levels if the contours are not filled: return lev[1:-1] This line occurs at line 682 in my version of contour.py which came with the 0.991 installation. I realize that I could specify the levels in the argument V and this does work. However this code is embedded in GUI-ness which allows the user to choose how the contours are selected. Passing the locator seems to be the best option code-wise. I committed a small change to svn trunk (r8190) that I think will handle your use case without fouling anything else up. Eric Thank you, Dave Smith -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Is there a maximum number of x tickmarks?
Gökhan SEVER-2 wrote: Oh these busy chemical compound plots :) Are those results of gas chromatography analysis? Something like below produces a nice fully plotted output here. Could you give it a try? import matplotlib.pyplot as plt plt.plot(range(100)) locs, labels = plt.xticks(range(100), range(100)) plt.setp(labels, rotation=90, fontsize=7) plt.show() -- Gökhan Gokhan, Your suggestion works great. I guess the MaxNLocator approach I have been using will place __up__to__ N ticks but not necessarily N ticks? And yes, these chemical profiles are from GCMS and other devices/techniques. I added upper X axis tick labels so you know a given chemical species' name and number; I chose to only have one legend to keep the clutter down as much as possible; I position the upper X axis labels in or outside the plot depending on whether the plot title exists. Luckily, I don't imagine having to deal with more species than 105 any time soon. Thanks again! Here is the improved plot (sorry for the pink background, I am not sure why it is showing up that way): http://old.nabble.com/file/p27927991/PMF2BasecaseProfiles.jpeg - Josh Hemann Statistical Advisor http://www.vni.com/ Visual Numerics jhemann at vni dizzot com -- View this message in context: http://old.nabble.com/Is-there-a-maximum-number-of-x-tickmarks--tp27924845p27927991.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
