[Matplotlib-users] Another Gnuplot style question
Okay, I am another gnuplot user trying to migrate over to matplotlib. I like what I see, but there are a couple things that are very easy to do in Gnuplot that I can't figure out how to do with matplotlib. I have a file with 3 columns of data called data.txt that looks like: 0. 1. 1.0 0.0634 1.0655 1.1353 0.1269 1.1353 1.28899916094 0.1903 1.2097 1.46345358199 0.2538 1.2889 1.6615188369 0.3173 1.3734 1.88639043926 ... I can plot this data, 2 versus 1 and 3 versus 1, very easily on the same plot, with a legend, with log y values, and only for the xrange between 2 and 3 with gnuplot: set log y set xrange[2:3] plot 'data.txt' u 1:2 w l t 'apples', 'data.txt' u 1:3 w l t 'oranges' Now, how do I do that same thing with matplotlob? Ie: 1. Both graphs overlayed on the same plot. 2. Semilogy. (log y values), 3. Only ploy for x in the range 2-3. 4. Legend for the two graphs on same plot. I have spent time looking through the documentation but I can't find anyway to do this is any straightforward way. plotfile() looks promising, but I can't seem to make it do the above. Thanks in advance. Joseph Smidt -- Joseph Smidt josephsm...@gmail.com Physics and Astronomy 4129 Frederick Reines Hall Irvine, CA 92697-4575 Office: 949-824-3269 -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Another Gnuplot style question
On Wed, Apr 29, 2009 at 08:20, Joseph Smidt josephsm...@gmail.com wrote: 1. Both graphs overlayed on the same plot. 2. Semilogy. (log y values), 3. Only ploy for x in the range 2-3. 4. Legend for the two graphs on same plot. a simple example: In [2]: import numpy as np In [3]: import matplotlib.pyplot as plt In [16]: data = np.random.rand(10,3) In [17]: data Out[17]: array([[ 0.00669083, 0.4421283 , 0.46697081], [ 0.18093819, 0.11669917, 0.70887601], [ 0.11659791, 0.96514955, 0.07389404], [ 0.95616662, 0.30350482, 0.10036185], [ 0.14197553, 0.10560376, 0.2964961 ], [ 0.74705585, 0.21806946, 0.37095176], [ 0.1551145 , 0.76093425, 0.878701 ], [ 0.44315466, 0.3625146 , 0.06750168], [ 0.96109656, 0.88401174, 0.59215722], [ 0.46190334, 0.39079641, 0.5958516 ]]) In [28]: plt.semilogy(data[:,0], data[:,1], label='first dataset') Out[28]: [matplotlib.lines.Line2D object at 0xa7698ac] In [29]: plt.semilogy(data[:,0], data[:,2], label='second dataset') Out[29]: [matplotlib.lines.Line2D object at 0xa8049ac] In [30]: plt.xlim([0.2, 0.8]) # limit x to 0.2..0.8 Out[30]: (0.20001, 0.80004) In [31]: plt.legend() Out[31]: matplotlib.legend.Legend object at 0xa80d04c In [32]: plt.show() I have spent time looking through the documentation but I can't find anyway to do this is any straightforward way. plotfile() looks promising, but I can't seem to make it do the above. Thanks in advance. to load data from file you can try matplotlib.mlab.csv2rec Cheers, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Another Gnuplot style question
Joseph Smidt wrote:
Okay, I am another gnuplot user trying to migrate over to matplotlib.
I like what I see, but there are a couple things that are very easy to
do in Gnuplot that I can't figure out how to do with matplotlib.
I have a file with 3 columns of data called data.txt that looks like:
0. 1. 1.0
0.0634 1.0655 1.1353
0.1269 1.1353 1.28899916094
0.1903 1.2097 1.46345358199
0.2538 1.2889 1.6615188369
0.3173 1.3734 1.88639043926
...
I can plot this data, 2 versus 1 and 3 versus 1, very easily on the
same plot, with a legend, with log y values, and only for the xrange
between 2 and 3 with gnuplot:
set log y
set xrange[2:3]
plot 'data.txt' u 1:2 w l t 'apples', 'data.txt' u 1:3 w l t 'oranges'
Now, how do I do that same thing with matplotlob? Ie:
1. Both graphs overlayed on the same plot.
2. Semilogy. (log y values),
3. Only ploy for x in the range 2-3.
4. Legend for the two graphs on same plot.
Something like this:
import numpy as np
import matplotlib.pyplot as plt
x, apples, oranges = np.loadtxt('data.txt', unpack=True)
plt.semilogy(x, apples, label='apples')
plt.semilogy(x, oranges, label='oranges')
plt.legend()
plt.gca().set_xlim(2, 3)
plt.show()
There are many possible variations and styles. The basic point is to
separate reading in the data from plotting it. Plotfile won't do what
you want because it is designed to make separate subplots instead of
plotting multiple lines on a single axes. Maybe doing the latter would
be at least as useful, if not more, and could be enabled as an option
with one more kwarg.
Eric
I have spent time looking through the documentation but I can't find
anyway to do this is any straightforward way. plotfile() looks
promising, but I can't seem to make it do the above. Thanks in
advance.
Joseph Smidt
--
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Re: [Matplotlib-users] Matplotlib documentation
Hello, About two months ago I was asking how to implement the following functionality for matplotlib documentation. Well today I figured it out :) I was busy with some other school work not been thinking for over twom months :P Is there a way to get functions separately listed under each bookmark listing in the pdf file? For example if I go IV Matplotlib API section from the bookmarks menu and click the matplotlib.pyplot seb-menu I would like to see the function names listed. In addition to module indexing (where keywords highlighted back to original names) this would be a nice feature to add the pdf documentation. Enough said, here is what I did. (Thanks to Georg Brandl of Sphinx) (As of now the latest svn checkout 0.98.6svn_rev__7068 although __revision__ says: 6887, and with Sphinx 0.6.1) I have modified the pyplot_api.rst as follows: .. automodule:: matplotlib.pyplot :undoc-members: :show-inheritance: acorr = .. autofunction:: acorr annotate .. autofunction:: annotate and other 121 manual entries. (The new PDF file is 12 pages more than original file.) While I was adding the function names I thought of myself that these could be done via a little program. I mean before Sphinx visit --in this case pyplot.py function names might read into a list and following this an appropriate rst file could be created (and this is also apply for the other api documentation as well). Or another way, these could be added to Sphinx as a feature, that is to say read function names and read docstrings, create figures etc.. and make a subsection for each item via a special syntax. The first method eliminates having a pre-written pyplot_api.rst file since this could be created via a short python script. I would like discuss these point before start working on other api functions and classes. Also need some explanation about them, since pyplot is composed of functions but some other api's are mixed with classes and functions. Please, contact me of the list so I can send the modified pyploy_rst.api. Gökhan -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Another Gnuplot style question
Thanks everyone, this is exactly what I wanted. -- Joseph Smidt josephsm...@gmail.com Physics and Astronomy 4129 Frederick Reines Hall Irvine, CA 92697-4575 Office: 949-824-3269 -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Another Gnuplot style question
Hello Eric, Hello list,
a year ago I also encountered the problem of one file - one figure of the
plotfile function. I would like to propose an addional functionality of using
one figure and several files in plotfile, because sometimes I don't want to
read data myself. I added a patch including the following changes:
- added a new keywordargument to plotfile 'use_cf': If use_cf isTrue plotfile
uses fig = gcf() instead of fig = figure() to suppress opening of a new
figure and therewith allowing to use the user preferred figure
- added a further new keyword argument 'names' to set x/ylabels in the case
there are no names in the csv-file
Furthermore I attached the modified plotfile_demo.py
(examples/pylab_examples/plotfile_demo.py) and some new data
(examples/data/data_x_x2_x3.csv).
Could this be useful?
Thanks in advance for any comments.
best regards
Matthias
On Wednesday 29 April 2009 09:20:17 Eric Firing wrote:
Joseph Smidt wrote:
Okay, I am another gnuplot user trying to migrate over to matplotlib.
I like what I see, but there are a couple things that are very easy to
do in Gnuplot that I can't figure out how to do with matplotlib.
I have a file with 3 columns of data called data.txt that looks like:
0. 1. 1.0
0.0634 1.0655 1.1353
0.1269 1.1353 1.28899916094
0.1903 1.2097 1.46345358199
0.2538 1.2889 1.6615188369
0.3173 1.3734 1.88639043926
...
I can plot this data, 2 versus 1 and 3 versus 1, very easily on the
same plot, with a legend, with log y values, and only for the xrange
between 2 and 3 with gnuplot:
set log y
set xrange[2:3]
plot 'data.txt' u 1:2 w l t 'apples', 'data.txt' u 1:3 w l t 'oranges'
Now, how do I do that same thing with matplotlob? Ie:
1. Both graphs overlayed on the same plot.
2. Semilogy. (log y values),
3. Only ploy for x in the range 2-3.
4. Legend for the two graphs on same plot.
Something like this:
import numpy as np
import matplotlib.pyplot as plt
x, apples, oranges = np.loadtxt('data.txt', unpack=True)
plt.semilogy(x, apples, label='apples')
plt.semilogy(x, oranges, label='oranges')
plt.legend()
plt.gca().set_xlim(2, 3)
plt.show()
There are many possible variations and styles. The basic point is to
separate reading in the data from plotting it. Plotfile won't do what
you want because it is designed to make separate subplots instead of
plotting multiple lines on a single axes. Maybe doing the latter would
be at least as useful, if not more, and could be enabled as an option
with one more kwarg.
Eric
I have spent time looking through the documentation but I can't find
anyway to do this is any straightforward way. plotfile() looks
promising, but I can't seem to make it do the above. Thanks in
advance.
Joseph Smidt
---
--- Register Now Save for Velocity, the Web Performance Operations
Conference from O'Reilly Media. Velocity features a full day of
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Index: lib/matplotlib/pyplot.py
===
--- lib/matplotlib/pyplot.py (revision 7068)
+++ lib/matplotlib/pyplot.py (working copy)
@@ -1447,8 +1447,8 @@
draw_if_interactive()
return ret
-def plotfile(fname, cols=(0,), plotfuncs=None,
- comments='#', skiprows=0, checkrows=5, delimiter=',',
+def plotfile(fname, cols=(0,), plotfuncs=None, use_cf=False,
+ comments='#', skiprows=0, checkrows=5, delimiter=',', names=None,
**kwargs):
Plot the data in *fname*
@@ -1473,9 +1473,12 @@
vector as you use in the *plotfuncs* dictionary, eg., integer
column numbers in both or column names in both.
-*comments*, *skiprows*, *checkrows*, and *delimiter* are all passed on to
-:func:`matplotlib.pylab.csv2rec` to load the data into a record array.
+*use_cf* : use current figure instead of a new figure for plotting
+*comments*, *skiprows*, *checkrows*, *delimiter*, and *names* are all
+passed on to :func:`matplotlib.pylab.csv2rec` to load the data into a
+record array.
+
kwargs are passed on to plotting functions.
Example usage::
@@ -1484,17 +1487,21 @@
plotfile(fname, (0,1,3))
# plot using column names; specify an alternate plot type for volume
- plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'})
+ plotfile(fname, ('date', 'volume', 'adj_close'),
+
Re: [Matplotlib-users] Matplotlib documentation
On Wed, Apr 29, 2009 at 2:55 AM, Gökhan SEVER gokhanse...@gmail.com wrote: I would like discuss these point before start working on other api functions and classes. Also need some explanation about them, since pyplot is composed of functions but some other api's are mixed with classes and functions. Please, contact me of the list so I can send the modified pyploy_rst.api. Hey Gökhan -- thanks for working on this. We are very happy to have documentation contributions. I don't feel strongly about how the pyplot rst file is generated, whether by extending Sphinx, using a script, or simply hand editing it. I'm actually incline toward the latter, because it would probably be nice to have some simple description in the section header, eg:: acorr - autocorrelation plots = as we do on the main page. Part of the sphinx philosophy is that hand edited documentation cannot be fully replaced by autogenerated documentaiton, and this may be a reasonable place to do some hand editing. If you go this route, update the pyplot module, the developer's guide and the boilerplate.py script (it lives besides setup.py and is a script to generate part of pyplot) so that when developers add a new function to pyplot they know to update the api docs as well. You may want to move further discussion over to the developers list. Any changes you want to make should be posted as an svn diff to the developers list. If you don't get immediate attention, also post it as a patch to the sourceforge site, and reply to the developers list with a link to the patch -- see http://matplotlib.sourceforge.net/faq/howto_faq.html#contributing-howto Thanks! JDH -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Interactive backends very (suprisingly?) slow for multiple subplots
Since there don't seem to be any forthcoming answers, I have a somewhat different question. In the matplotlib FAQ, it states that using 'show()' puts you in the GUI mainloop (http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show). However, using plot commands on the ipython command line does not shut down the command line generally. I gathered from some googling that this is because ipython starts up the matplotlib graphics in a different 'thread', but I don't understand how this is done and most of what I've seen says it is bad. So, my question now: How can I exit the GUI mainloop without closing the graphics windows? Thanks, Adam -- View this message in context: http://www.nabble.com/Interactive-backends-very-%28suprisingly-%29-slow-for-multiple-subplots-tp23261074p23295883.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Interactive backends very (suprisingly?) slow for multiple subplots
On Wed, Apr 29, 2009 at 9:07 AM, keflavich keflav...@gmail.com wrote: Since there don't seem to be any forthcoming answers, I have a somewhat different question. In the matplotlib FAQ, it states that using 'show()' puts you in the GUI mainloop (http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show). However, using plot commands on the ipython command line does not shut down the command line generally. I gathered from some googling that this is because ipython starts up the matplotlib graphics in a different 'thread', but I don't understand how this is done and most of what I've seen says it is bad. most GUI mainloops are blocking, so after you start them you cannot issue more commands from an interactive shell. Either you need to run a GUI shell, or in the case of ipython run the GUI in a separate thread. One exception to this is tkinter (tkagg), which plays nicely with a standard python shell. I understand that recent versions of pygtk work also w/o running the mainloop in a separate thread, but I haven't dug into the details. So, my question now: How can I exit the GUI mainloop without closing the graphics windows? This question doesn't really make sense to me. Perhaps you can clearly describe your use case (what you need to do) rather than the proposed solutions. JDH -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Interactive backends very (suprisingly?) slow for multiple subplots
On Wed, Apr 29, 2009 at 8:29 AM, John Hunter jdh2...@gmail.com wrote: On Wed, Apr 29, 2009 at 9:07 AM, keflavich keflav...@gmail.com wrote: Since there don't seem to be any forthcoming answers, I have a somewhat different question. In the matplotlib FAQ, it states that using 'show()' puts you in the GUI mainloop (http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show). However, using plot commands on the ipython command line does not shut down the command line generally. I gathered from some googling that this is because ipython starts up the matplotlib graphics in a different 'thread', but I don't understand how this is done and most of what I've seen says it is bad. most GUI mainloops are blocking, so after you start them you cannot issue more commands from an interactive shell. Either you need to run a GUI shell, or in the case of ipython run the GUI in a separate thread. One exception to this is tkinter (tkagg), which plays nicely with a standard python shell. I understand that recent versions of pygtk work also w/o running the mainloop in a separate thread, but I haven't dug into the details. OK, that's very helpful. So, my question now: How can I exit the GUI mainloop without closing the graphics windows? This question doesn't really make sense to me. Perhaps you can clearly describe your use case (what you need to do) rather than the proposed solutions. I would like to have access to the command line while simultaneously being able to interact with and/or display plots. I think this is what ipython does by default when you pass it a thread keyword (-pylab, -qt4thread, etc.). I had some trouble getting ipython to work correctly, but I think that had to do with passing the thread keyword before/after some other keywords. Part of my question that I hope makes sense: Is there a way to unblock the command line without closing the plot window when using an interactive backend? Thanks, and sorry about the misunderstandings / lack of clarity, Adam -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Histogram of 2D Data
Hi I have a set of 2 dimensional data that I would like to form a histogram of. Each data point is defined by an x and y variable. So essentially what I would like to obtain is a row of histograms as produced by the plot.hist function, stacking them next to one another in a single 3D plot. For example, something like [1], but I don't need it to be interpolated. [1] http://www.mathworks.com/matlabcentral/fx_files/14205/1/hist.jpg Thanks! Marco -- View this message in context: http://www.nabble.com/Histogram-of-2D-Data-tp23296104p23296104.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Font size and savefig
On Tue, Apr 28, 2009 at 11:24 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote: On Tue, Apr 28, 2009 at 11:09 PM, John Hunter jdh2...@gmail.com wrote: If you want the relative fontsizes in the figure window and saved figure to agree, pass the same dpi to the figure command and savefig command. John, I thought the font size (which is specified in points) is independent of dpi, i.e., font size in pixel actually scales with the dpi. I think it should be filed as a bug if the relative font size depends on the dpi. Anyhow, I just did a quick test and the (relative) font size does not seem to vary with dpi. Hmm, I must have been confused. In older versions of mpl, as you increased the dpi the fonts looked larger in relation to the rest of the figure, and that is what I was remembering. I just ran a few tests and they do scale as expected, so sorry for the noise -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Histogram of 2D Data
On Wed, Apr 29, 2009 at 9:59 AM, marcog ma...@gallotta.co.za wrote: Hi I have a set of 2 dimensional data that I would like to form a histogram of. Each data point is defined by an x and y variable. So essentially what I would like to obtain is a row of histograms as produced by the plot.hist function, stacking them next to one another in a single 3D plot. For example, something like [1], but I don't need it to be interpolated. [1] http://www.mathworks.com/matlabcentral/fx_files/14205/1/hist.jpg hexbin may be what you are looking for, which does a 2D colormapped histogram, with an optional reduce function so you can specify the intensity function over the bins http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.hexbin http://matplotlib.sourceforge.net/examples/pylab_examples/hexbin_demo.html http://matplotlib.sourceforge.net/examples/pylab_examples/hexbin_demo2.html JDH -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Interactive backends very (suprisingly?) slow for multiple subplots
On Wed, Apr 29, 2009 at 9:22 AM, John Hunter jdh2...@gmail.com wrote: On Wed, Apr 29, 2009 at 9:50 AM, Adam keflav...@gmail.com wrote: I would like to have access to the command line while simultaneously being able to interact with and/or display plots. I think this is what ipython does by default when you pass it a thread keyword (-pylab, -qt4thread, etc.). I had some trouble getting ipython to work correctly, but I think that had to do with passing the thread keyword before/after some other keywords. From your previous posts, I think you may have been be using ipython incorrectly, ie mixing ipython -pylab with the matplotlib use directive. Start with a canconical simple script, eg:: import matplotlib.pyplot as plt plt.figure(1) plt.plot([1,2,3]) plt.figure(2) plt.plot([4,5,6]) plt.show() and set your matplotlibrc to backend to TkAgg. Start ipython with:: ipython -pylab and run your test script with:: In [61]: run test.py If that works, close everything down and set your backend to QtAgg and try running it again in the same way and let us know what happens. It should just work. I'm suspecting in that as you were testing and trying a lot of things, you got yourself into a situation where multiple GUIs were competing for attention. Part of my question that I hope makes sense: Is there a way to unblock the command line without closing the plot window when using an interactive backend? Yes, that makes sense, and basically you need to either use TkAgg from a regular python shell, use ipython in pylab mode with any supported backend, or use a GUI shell. ipython also has support for embedding in GUI shells. See also http://matplotlib.sourceforge.net/users/shell.html JDH Thanks John. I think you answered my questions completely now. FWIW, I was not using matplotlib.use() with ipython, I was using it when calling 'python test.py' on the command line. My mistake with ipython was using an import command before -pylab, i.e.: ipython -i -c import pyfits,matplotlib -pylab which does not work, whereas ipython -pylab -i -c import pyfits,matplotlib does. Thanks for the help! -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] fill_between and masked array
On Wed, Apr 29, 2009 at 6:40 AM, Andres Luhamaa andres.luha...@ut.eewrote: Hello, I try to do fill_between two arrays, that have missing value (masked arrays). Following code shows behaviour that seems not correct. Images what I expect the result to be (by omitting the missing value) and what I get by plotting the whole arrays. import pylab import numpy as np edatmax=np.array([10,4,6,9,np.nan,9,10]) edatmax=np.ma.masked_array(edatmax,np.isnan(edatmax)) edatmin=np.array([8,4,5,1,np.nan,8,5]) edatmin=np.ma.masked_array(edatmin,np.isnan(edatmin)) xtelg=np.arange(edatmax.size) xtelg=np.ma.masked_array(xtelg,np.isnan(edatmin)) pylab.plot(edatmax,gx) pylab.plot(edatmin,r+) # comment out to see better pylab.fill_between(xtelg,edatmax,edatmin,facecolor='green',alpha='0.3') # comment in to see better #pylab.fill_between(xtelg[:4],edatmax[:4],edatmin[:4],facecolor='green',alpha='0.3') #pylab.fill_between(xtelg[5:],edatmax[5:],edatmin[5:],facecolor='green',alpha='0.3') pylab.show() Version of matplotlib is current cvs. fill_between does not currently support masked arrays, but I think we could easily extend it to support the mask using the existing support for the where kwarg. For now, does this behave like you expect? valid = ~(edatmax.mask edatmax.mask ) pylab.fill_between(xtelg,edatmax,edatmin,facecolor='green',alpha='0.3', where=valid) JDH -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] fill_between and masked array
On Wed, Apr 29, 2009 at 10:54 AM, John Hunter jdh2...@gmail.com wrote: fill_between does not currently support masked arrays, but I think we could easily extend it to support the mask using the existing support for the where kwarg. For now, does this behave like you expect? valid = ~(edatmax.mask edatmax.mask ) pylab.fill_between(xtelg,edatmax,edatmin,facecolor='green',alpha='0.3', where=valid) Oops -- meant valid = ~(edatmin.mask edatmax.mask ) JDH -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] fill_between and masked array
I don't believe fill_between directly supports missing values -- but it does have the where parameter for this purpose. We could also be smarter about how where is generated when none is provided: if where is None: where = (~np.ma.getmaskarray(x) ~np.ma.getmaskarray(y1) ~np.ma.getmaskarray(y2)) ...but I'd like more feedback from the author or users of fill_between before committing that change. (That, and Eric Firing can probably find a much more efficient way to do the masked array manipulation... ;) Mike Andres Luhamaa wrote: Hello, I try to do fill_between two arrays, that have missing value (masked arrays). Following code shows behaviour that seems not correct. Images what I expect the result to be (by omitting the missing value) and what I get by plotting the whole arrays. import pylab import numpy as np edatmax=np.array([10,4,6,9,np.nan,9,10]) edatmax=np.ma.masked_array(edatmax,np.isnan(edatmax)) edatmin=np.array([8,4,5,1,np.nan,8,5]) edatmin=np.ma.masked_array(edatmin,np.isnan(edatmin)) xtelg=np.arange(edatmax.size) xtelg=np.ma.masked_array(xtelg,np.isnan(edatmin)) pylab.plot(edatmax,gx) pylab.plot(edatmin,r+) # comment out to see better pylab.fill_between(xtelg,edatmax,edatmin,facecolor='green',alpha='0.3') # comment in to see better #pylab.fill_between(xtelg[:4],edatmax[:4],edatmin[:4],facecolor='green',alpha='0.3') #pylab.fill_between(xtelg[5:],edatmax[5:],edatmin[5:],facecolor='green',alpha='0.3') pylab.show() Version of matplotlib is current cvs. Best regards, Andres -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ 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 -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] fill_between and masked array
On Wed, Apr 29, 2009 at 10:56 AM, Michael Droettboom md...@stsci.eduwrote: I don't believe fill_between directly supports missing values -- but it does have the where parameter for this purpose. We could also be smarter about how where is generated when none is provided: if where is None: where = (~np.ma.getmaskarray(x) ~np.ma.getmaskarray(y1) ~np.ma.getmaskarray(y2)) ...but I'd like more feedback from the author or users of fill_between before committing that change. (That, and Eric Firing can probably find a much more efficient way to do the masked array manipulation... ;) I'm working on a patch for this nowbut I would also like Eric to take a look when I am done since I am a masked array dummy JDH -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] fill_between and masked array
On Wed, Apr 29, 2009 at 11:03 AM, John Hunter jdh2...@gmail.com wrote: ...but I'd like more feedback from the author or users of fill_between before committing that change. (That, and Eric Firing can probably find a much more efficient way to do the masked array manipulation... ;) I'm working on a patch for this nowbut I would also like Eric to take a look when I am done since I am a masked array dummy Here's the diff I just committed:: Index: lib/matplotlib/axes.py === --- lib/matplotlib/axes.py (revision 7069) +++ lib/matplotlib/axes.py (working copy) @@ -5832,6 +5832,26 @@ self._process_unit_info(xdata=x, ydata=y1, kwargs=kwargs) self._process_unit_info(ydata=y2) +if where is None: +where = np.ones(len(x), np.bool) +else: +where = np.asarray(where) + +maskedx = isinstance(x, np.ma.MaskedArray) +maskedy1 = isinstance(y1, np.ma.MaskedArray) +maskedy2 = isinstance(y2, np.ma.MaskedArray) + +if (maskedx or maskedy1 or maskedy2): +if maskedx: +where = where (~x.mask) + +if maskedy1: +where = where (~y1.mask) + +if maskedy2: +where = where (~y2.mask) + + # Convert the arrays so we can work with them x = np.asarray(self.convert_xunits(x)) y1 = np.asarray(self.convert_yunits(y1)) @@ -5843,10 +5863,7 @@ if not cbook.iterable(y2): y2 = np.ones_like(x)*y2 -if where is None: -where = np.ones(len(x), np.bool) -where = np.asarray(where) assert( (len(x)==len(y1)) and (len(x)==len(y2)) and len(x)==len(where)) polys = [] -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Integrating matplotlib into a GUI
On Sun, Apr 26, 2009 at 6:41 PM, Gökhan SEVER gokhanse...@gmail.com wrote: Hello, Thanks for the pointer Bryan. I also seen Gael's tutorial (http://gael-varoquaux.info/computers/traits_tutorial/index.html) To me, it seems much easier to use Traits, instead of learning WX or QT. It is. I had spent hours learning Tk, Wx, and Qt looking for a practical gui solution ... but then I found Traits and I haven't looked back. They are still confusing to me, and seemingly Traits is there to help me implement what I have had in my mind for a while. Gökhan On Sun, Apr 26, 2009 at 2:52 AM, Bryan Cole br...@cole.uklinux.net wrote: I know wxPython or PyQt seems way to go on this issue. But (there is always this but :) there is Chaco on the Enthought side and with nicely and simply integration with Traits and Traits UI. Are there anybody in the group that design a similar tool for their scientific data analysis needs? Could I get some insight into this? Any recommendations or pointers? Why's and why not's? You can integrate matplotlib plots into a Traits app. I wrote this recipe: http://www.scipy.org/Cookbook/EmbeddingInTraitsGUI Both Chaco and Matplotlib are excellent. If you want multiple interactive elements in your plot (drag-able labels, cursors etc.), Chaco is probably the best bet. However, for quick data-exploration apps, I find matplotlib quicker to set up (it's defaults just work, whereas Chaco takes a bit more preparation). Either way, Traits is indispensable. BC Thank you Gökhan -- Crystal Reports #45; New Free Runtime and 30 Day Trial Check out the new simplified licensign option that enables unlimited royalty#45;free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Crystal Reports #45; New Free Runtime and 30 Day Trial Check out the new simplified licensign option that enables unlimited royalty#45;free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Crystal Reports #45; New Free Runtime and 30 Day Trial Check out the new simplified licensign option that enables unlimited royalty#45;free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] last tick label not showing up
Hello Erik, I can reproduce your problem (mpl 0.98.6svn) with the following little example: import matplotlib.pyplot as plt ax = plt.axes() ax.set_xlim((0.0, .)) print ax.xaxis.get_majorticklocs() plt.show() where the last tick is out of the xlimits. Could this be the case for your example, too? Nevertheless the question still would be: Is this a bug in the handling of xticks and their corresponding labels? best regards Matthias On Wednesday 29 April 2009 18:07:17 Erik Thompson wrote: How do I get the final 180 tick label to show up on my plots on the far right of my x axis (or top of the y axis). When I do: print ax.xaxis.get_majorticklocs() it returns: [ 0. 20. 40. 60. 80. 100. 120.] and I have a label for each of those locations: ax.xaxis.set_ticklabels([-180, -120, -60, 0, 60, 120, 180]) For some reason the final 180 tick label doesn't display. Thanks, Erik Thompson -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] last tick label not showing up
On Wed, Apr 29, 2009 at 12:21 PM, Matthias Michler matthiasmich...@gmx.net wrote: where the last tick is out of the xlimits. Could this be the case for your example, too? Nevertheless the question still would be: Is this a bug in the handling of xticks and their corresponding labels? get_majorticklocs (and similar methods) does not return the locations of the ticks that will be plotted. It simply returns the tick values generated by the locator instance. And among them, only those within the axis limits will be drawn. My guess is that this was a design decision, not a bug. The following is a related post which includes some code snippets that can be used to retrieve tick locations inside the axis limits. http://www.nabble.com/eliminating-the-top-tick-on-an-axis-to19446256.html#a19446256 Regards, -JJ -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] last tick label not showing up
Matthias, Thanks for your help. When I did ax.set_xlim((0.0, 120.0)) the 180 tick showed up although ugly on some plots because there was missing data at the 180 degrees mark. I then copied all the datapoints from the -180 degrees into new 180 degree data points (they are the supposed to be the same) and everything works well now. Erik Thompson -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] fill_between and masked array
John Hunter wrote: On Wed, Apr 29, 2009 at 11:03 AM, John Hunter jdh2...@gmail.com mailto:jdh2...@gmail.com wrote: ...but I'd like more feedback from the author or users of fill_between before committing that change. (That, and Eric Firing can probably find a much more efficient way to do the masked array manipulation... ;) I'm working on a patch for this nowbut I would also like Eric to take a look when I am done since I am a masked array dummy John, The way you did it looked OK; but since I was looking at it, I went ahead and did some rearranging and condensation to try to make the whole thing (not just the mask handling) read better. I doubt there are any significant performance differences, but I did not test that. I also added a subplot to the fill_between.py demo to illustrate the mask handling. Then I noticed a flaw in the demo plots, and added a note about it. See revision 7071. Eric -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Pixel Position of X/Y Axis
It's been a while, please allow me to bump this... Sorry. I use matplotlib to create PNGs graphics for display on a web-page. I want to make the plots zoom-able. I'll use javascript to capture the pixel positions of the user's selected zoom region on the PNG plot. I'll then translate this into the coordinate system on the plot and redraw it with a new x, y range. I'm having trouble translating the initial axises into the pixel positions (essentially where they are on the PNG image). For example, I use the following code to map point positions from the coordinate system to pixel positions. I use an img map MAP to provide interaction with the actual lines. [CODE] lineObj = plt.plot(Xs,Ys,marker='o')[0] path, affine = lineObj._transformed_path.get_transformed_points_and_affine() path = affine.transform_path(path) for real,pixel in zip(lineObj.get_xydata(),path.vertices): ## write AREA tag for each point [/CODE] I'd like to get information similar to this for the axis of the plot. Thanks. -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matplotlib for Python 2.6
Is there a Windows installer file for matplotlib for Python 2.6? I couldn't find one on the download page, but have to admit to being in something of a hurry and so didn't look too hard. -- R. Padraic Springuel Research Assistant Department of Physics and Astronomy University of Maine Bennett 309 Office Hours: By appointment only smime.p7s Description: S/MIME Cryptographic Signature -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Integrating matplotlib into a GUI
Hi Gary, Could you please give some information on how Traits compare to Wx or Qt? What are Traits' limits? I haven't started writing anything on GUI level yet, but spending time to understand the Traits way. Thank you. Gökhan On Wed, Apr 29, 2009 at 11:10 AM, Gary Pajer gary.pa...@gmail.com wrote: On Sun, Apr 26, 2009 at 6:41 PM, Gökhan SEVER gokhanse...@gmail.com wrote: Hello, Thanks for the pointer Bryan. I also seen Gael's tutorial (http://gael-varoquaux.info/computers/traits_tutorial/index.html) To me, it seems much easier to use Traits, instead of learning WX or QT. It is. I had spent hours learning Tk, Wx, and Qt looking for a practical gui solution ... but then I found Traits and I haven't looked back. They are still confusing to me, and seemingly Traits is there to help me implement what I have had in my mind for a while. Gökhan On Sun, Apr 26, 2009 at 2:52 AM, Bryan Cole br...@cole.uklinux.net wrote: I know wxPython or PyQt seems way to go on this issue. But (there is always this but :) there is Chaco on the Enthought side and with nicely and simply integration with Traits and Traits UI. Are there anybody in the group that design a similar tool for their scientific data analysis needs? Could I get some insight into this? Any recommendations or pointers? Why's and why not's? You can integrate matplotlib plots into a Traits app. I wrote this recipe: http://www.scipy.org/Cookbook/EmbeddingInTraitsGUI Both Chaco and Matplotlib are excellent. If you want multiple interactive elements in your plot (drag-able labels, cursors etc.), Chaco is probably the best bet. However, for quick data-exploration apps, I find matplotlib quicker to set up (it's defaults just work, whereas Chaco takes a bit more preparation). Either way, Traits is indispensable. BC Thank you Gökhan -- Crystal Reports #45; New Free Runtime and 30 Day Trial Check out the new simplified licensign option that enables unlimited royalty#45;free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Crystal Reports #45; New Free Runtime and 30 Day Trial Check out the new simplified licensign option that enables unlimited royalty#45;free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Crystal Reports #45; New Free Runtime and 30 Day Trial Check out the new simplified licensign option that enables unlimited royalty#45;free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Fixed patch relative to axes
Thomas Robitaille wrote: Hi, Is there an easy way to draw a patch or a patchcollection such that it always stays at the same relative position in a set of axes, rather than at the same pixel position? So for example, I would want to plot it at (0.1,0.1) relative to the axes, and if I zoom in I would still want it to stay at (0.1,0.1) With ipython -pylab: ax = gca() ax.fill([0.1, 0.2, 0.15], [0.1, 0.1, 0.15], transform=ax.transAxes) draw() then pan, zoom at will. Eric -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Fixed patch relative to axes
Thanks! Is there an easy way to keep a reference to patches? I notice that for example p = ax.add_patch(Circle((0.5,0.5),radius=0.5)) does not work (p is not a reference to the patch). Is there a way to keep a reference so I can update the properties of the patch at a later time? Cheers, Thomas On 29 Apr 2009, at 21:13, Eric Firing wrote: Thomas Robitaille wrote: Hi, Is there an easy way to draw a patch or a patchcollection such that it always stays at the same relative position in a set of axes, rather than at the same pixel position? So for example, I would want to plot it at (0.1,0.1) relative to the axes, and if I zoom in I would still want it to stay at (0.1,0.1) With ipython -pylab: ax = gca() ax.fill([0.1, 0.2, 0.15], [0.1, 0.1, 0.15], transform=ax.transAxes) draw() then pan, zoom at will. Eric -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Fixed patch relative to axes
Thomas Robitaille wrote: Thanks! Is there an easy way to keep a reference to patches? I notice that for example p = ax.add_patch(Circle((0.5,0.5),radius=0.5)) does not work (p is not a reference to the patch). Is there a way to keep a reference so I can update the properties of the patch at a later time? Split the command up: p = Circle(...) ax.add_patch(p, ...) (add_* could be modified to return the reference; maybe this would be worthwhile.) Eric Cheers, Thomas On 29 Apr 2009, at 21:13, Eric Firing wrote: Thomas Robitaille wrote: Hi, Is there an easy way to draw a patch or a patchcollection such that it always stays at the same relative position in a set of axes, rather than at the same pixel position? So for example, I would want to plot it at (0.1,0.1) relative to the axes, and if I zoom in I would still want it to stay at (0.1,0.1) With ipython -pylab: ax = gca() ax.fill([0.1, 0.2, 0.15], [0.1, 0.1, 0.15], transform=ax.transAxes) draw() then pan, zoom at will. Eric -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Pixel Position of X/Y Axis
You may use the bbox attribute of the axes. For example, ax.bbox.extents gives you the x,y coordinates of the lowerleft and topright corners. -JJ On Wed, Apr 29, 2009 at 4:06 PM, Mark Larsen larsen...@gmail.com wrote: It's been a while, please allow me to bump this... Sorry. I use matplotlib to create PNGs graphics for display on a web-page. I want to make the plots zoom-able. I'll use javascript to capture the pixel positions of the user's selected zoom region on the PNG plot. I'll then translate this into the coordinate system on the plot and redraw it with a new x, y range. I'm having trouble translating the initial axises into the pixel positions (essentially where they are on the PNG image). For example, I use the following code to map point positions from the coordinate system to pixel positions. I use an img map MAP to provide interaction with the actual lines. [CODE] lineObj = plt.plot(Xs,Ys,marker='o')[0] path, affine = lineObj._transformed_path.get_transformed_points_and_affine() path = affine.transform_path(path) for real,pixel in zip(lineObj.get_xydata(),path.vertices): ## write AREA tag for each point [/CODE] I'd like to get information similar to this for the axis of the plot. Thanks. -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Font size and savefig
Hi Jae-Jong and John, Thanks for your replies! While experimenting with this to send screenshots, I realized that my default backend was set to MacOSX, not WXAgg. The WXAgg output to the screen actually agrees with the PNG output in terms of font sizes. But the font sizes differ between the MacOSX and WXAgg backends. Attached are screenshots using the MacOSX and WXAgg backends. You can see the font size is different. Is this a bug? Thanks, Thomas inline: wxagg.pnginline: macosx.png On 29 Apr 2009, at 00:24, Jae-Joon Lee wrote: On Tue, Apr 28, 2009 at 11:09 PM, John Hunter jdh2...@gmail.com wrote: If you want the relative fontsizes in the figure window and saved figure to agree, pass the same dpi to the figure command and savefig command. John, I thought the font size (which is specified in points) is independent of dpi, i.e., font size in pixel actually scales with the dpi. I think it should be filed as a bug if the relative font size depends on the dpi. Anyhow, I just did a quick test and the (relative) font size does not seem to vary with dpi. Thomas, What version of mpl are you using? With the mpl from the svn trunk, I don't see any significant change as you described. The WxAgg figure and the png output are actually drawn by an identical backend, so there should be no significant difference. There can be some subtle difference due to different dpi, but I don't see a difference as large as 30%. Can you post a some sample images? i.e., a screenshot of WxAgg figure and the png output. I can see that the text in pdf output occupies a bit larger area than png (when usetex=False), but, to me, this seems to be due to different amount of kernings (it seems that no kerning is applied for pdf text) instead of different font size. So, can you first check if the difference goes away when you use same dpi as John suggested? And if that is the case, can you try the latest svn and check if the relative font size still depends on the dpi? Regards, -JJ -- Register Now Save for Velocity, the Web Performance Operations Conference from O'Reilly Media. Velocity features a full day of expert-led, hands-on workshops and two days of sessions from industry leaders in dedicated Performance Operations tracks. Use code vel09scf and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] two scales in the same plot
On Fri, Apr 24, 2009 at 1:10 PM, Sandro Tosi mo...@debian.org wrote:
Hi Ondrej,
nice to see you here :)
Nice to see you too! :)
On Fri, Apr 24, 2009 at 22:02, Ondrej Certik ond...@certik.cz wrote:
Hi,
is there a way to have one plot with two functions, one using some
scale, the other one a different scale and show for example one scale
on the left, the other scale on the right?
sure, twinx() is what you're looking for; here is a simple example:
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0., np.e, 0.01)
y1 = np.exp(-x)
y2 = np.log(x)
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.plot(x, y1)
ax1.set_ylabel('Y values for exp(-x)')
ax2 = ax1.twinx()
ax2.plot(x, y2, 'r')
ax2.set_xlim([0,np.e])
ax2.set_ylabel('Y values for ln(x)')
ax2.set_xlabel('Same X for both exp(-x) and ln(x)')
The values on X has to be of the same scale, tough, else the graph
would look really weird.
Thanks a lot for the code. That worked. I was meeting some deadline,
so I forgot to reply that it worked.
Thanks Ryan and Jouni as well!
Ondrej
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