matplotlib-users Mailing List for matplotlib (Page 2)

Benjamin Root-2 wrote:
> 
> On Monday, May 30, 2011, Eric O LEBIGOT (EOL)
>> I wish that Matplotlib provided a mechanism for bypassing show(), because
>> show() is actually not my friend. :-) In fact, with show(), I hate
>> having
>> to close one by one each of the 12 figures that my script creates each
>> time
>> I run it.
>>
>> (...)
>> stopping a program that was fully or partially in run in non-interactive
>> mode, without having to use this dreaded show()...
>> (...)
> 
> I am not sure exactly what feature you are asking for. If you are in
> interactive mode, you could setup a key binding to call a function to
> close all figures. Another route to go is to take advantage of
> subplots and reduce the number of figures you need to have.
> 
The keybinding idea is interesting, but the goal is to work in
*non*-interactive mode (for optimization purposes), and the feature I would
love is simply to be able to display graphs in this mode without using
show(). Subplots are unfortunately not an option for me, as each of the
numerous graph must be independent (they are each saved in a specific file).
Benjamin Root-2 wrote:
> 
> Also, it bares repeating. You may be experiencing some bugs with
> interactive mode in v1.0.0. Some very important bugfixes were made
> wrt interactive mode for the v1.0.1 release. I know the sourceforge
> page still points to v1.0.0, that is a problem that I hope to have
> fixed later in the next few days.
> 
Thanks, I'll definitely check out version 1.0.1. The feature I wish existed
is unfortunately relevant to the *non*-interactive mode.
-- 
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On Monday, May 30, 2011, Eric O LEBIGOT (EOL)
<Eri...@no...> wrote:
>
>
> Benjamin Root-2 wrote:
>>
>> On Monday, May 30, 2011, Eric O LEBIGOT (EOL)
>> <Eri...@no...> wrote:
>>>
>>> Benjamin Root-2 wrote:
>>> So, if anything is drawn when interactive mode is off, does one *have* to
>>> use show() at the end? in other words does using a single raw_input() at
>>> the end of the program force the use of the interactive mode for *all*
>>> figures? (Closing all the figures with a simple "enter" is very
>>> convenient,
>>> but having a performance penalty for this would not be so nice...).
>>>
>>
>> Yes, if interactive mode is off, and you want to view the figures, you
>> need show(). No, the raw_input does nothing in either case.
>>
>>> Now, if I understand you correctly, I have another question. I don't
>>> understand anymore what draw() does: in fact, it is not necessary in
>>> interactive mode, and it does not appear to do anything in
>>> non-interactive
>>> mode, since show() is really the function that really displays the
>>> figures.
>>> So, why does matplotlib offer draw()? what does it really do?
>>>
>>
>> The draw() command is used for some more advanced features such as
>> animations and widgets, as well as for internal use. I rarely use
>> draw() in my scripts.
>>
> Thank you for the follow up.
>
> I wish that Matplotlib provided a mechanism for bypassing show(), because
> show() is actually not my friend. :-) In fact, with show(), I hate having
> to close one by one each of the 12 figures that my script creates each time
> I run it.
>
> The Matplotlib documentation indeed lists many ways to use Matplotlib.
> However, I was trying to get beyond "recipes" and to get a deeper
> understanding of what Matplotlib does, so as to avoid wasting too much time
> when trying to do something that is not in one of those recipes. Like
> stopping a program that was fully or partially in run in non-interactive
> mode, without having to use this dreaded show()...
>
> Thank you again for your input. It is good to know the limitations of
> Matplotlib. Maybe it is time to suggest the feature I mentioned to the dev
> list??
I am not sure exactly what feature you are asking for. If you are in
interactive mode, you could setup a key binding to call a function to
close all figures. Another route to go is to take advantage of
subplots and reduce the number of figures you need to have.
Also, it bares repeating. You may be experiencing some bugs with
interactive mode in v1.0.0. Some very important bugfixes were made
wrt interactive mode for the v1.0.1 release. I know the sourceforge
page still points to v1.0.0, that is a problem that I hope to have
fixed later in the next few days.
Ben Root
> --
> View this message in context: http://old.nabble.com/Exact-semantics-of-ion%28%29---tp31728909p31734191.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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Benjamin Root-2 wrote:
> 
> On Monday, May 30, 2011, Eric O LEBIGOT (EOL)
> <Eri...@no...> wrote:
>>
>> Benjamin Root-2 wrote:
>> So, if anything is drawn when interactive mode is off, does one *have* to
>> use show() at the end? in other words does using a single raw_input() at
>> the end of the program force the use of the interactive mode for *all*
>> figures? (Closing all the figures with a simple "enter" is very
>> convenient,
>> but having a performance penalty for this would not be so nice...).
>>
> 
> Yes, if interactive mode is off, and you want to view the figures, you
> need show(). No, the raw_input does nothing in either case.
> 
>> Now, if I understand you correctly, I have another question. I don't
>> understand anymore what draw() does: in fact, it is not necessary in
>> interactive mode, and it does not appear to do anything in
>> non-interactive
>> mode, since show() is really the function that really displays the
>> figures.
>> So, why does matplotlib offer draw()? what does it really do?
>>
> 
> The draw() command is used for some more advanced features such as
> animations and widgets, as well as for internal use. I rarely use
> draw() in my scripts.
> 
Thank you for the follow up.
I wish that Matplotlib provided a mechanism for bypassing show(), because
show() is actually not my friend. :-) In fact, with show(), I hate having
to close one by one each of the 12 figures that my script creates each time
I run it.
The Matplotlib documentation indeed lists many ways to use Matplotlib. 
However, I was trying to get beyond "recipes" and to get a deeper
understanding of what Matplotlib does, so as to avoid wasting too much time
when trying to do something that is not in one of those recipes. Like
stopping a program that was fully or partially in run in non-interactive
mode, without having to use this dreaded show()...
Thank you again for your input. It is good to know the limitations of
Matplotlib. Maybe it is time to suggest the feature I mentioned to the dev
list??
-- 
View this message in context: http://old.nabble.com/Exact-semantics-of-ion%28%29---tp31728909p31734191.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Monday, May 30, 2011, Mondsuechtiger <el_...@gm...> wrote:
> -----BEGIN PGP SIGNED MESSAGE-----
> Hash: SHA1
>
>
> Hello,
>
> I would like to stack subplots in a figure with a couple of basic
> x,y-line plots with the subplot frames removed.
> But possible overlap of subplots is limited, because the drawn data
> lines are clipped on the border, if you'd lets say manually reset the
> ylims and decrease it below the highest data y-values.
> I know it is possible with any kind of text or data annotation, but do
> not find a way to let the data lines cross the frame border.
>
> I hope I made myself halfway clear - pls. don't hesitate to ask if not.
> Does one of you possibly have a solution or is it maybe plain
> impossible?
> Thanks!
>
> Cheers,
> Nix
Maybe you want to use matplotlib's spine feature? You are right that
you can't plot outside the plotable region, but maybe you can emulate
what you want by moving the axes lines into the plottable region.
I hope that helps!
Ben Root
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>
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On Monday, May 30, 2011, Eric O LEBIGOT (EOL)
<Eri...@no...> wrote:
>
> Thank you for your response.
>
>
> Benjamin Root-2 wrote:
>>
>> On Sunday, May 29, 2011, Eric O LEBIGOT (EOL)
>> <Eri...@no...> wrote:
>>>
>>> What does ion() exactly do?
>>>$$$
>>> from matplotlib import pyplot as pp
>>>
>>> pp.plot([10, 20, 50])
>>> pp.draw()
>>>
>>> raw_input('Press enter...') # No graph displayed?!!
>>>$$$
>>
>> Turning interactive mode on also means an implied "show" command, if
>> needed. The first program can replace draw() with show(). However,
>> if interactive mode is off, then the python execution pauses. With it
>> on, python execution will continue.
>>
> So, if anything is drawn when interactive mode is off, does one *have* to
> use show() at the end? in other words does using a single raw_input() at
> the end of the program force the use of the interactive mode for *all*
> figures? (Closing all the figures with a simple "enter" is very convenient,
> but having a performance penalty for this would not be so nice...).
>
Yes, if interactive mode is off, and you want to view the figures, you
need show(). No, the raw_input does nothing in either case.
> Now, if I understand you correctly, I have another question. I don't
> understand anymore what draw() does: in fact, it is not necessary in
> interactive mode, and it does not appear to do anything in non-interactive
> mode, since show() is really the function that really displays the figures.
> So, why does matplotlib offer draw()? what does it really do?
>
The draw() command is used for some more advanced features such as
animations and widgets, as well as for internal use. I rarely use
draw() in my scripts.
May I suggest reading the FAQ and some of the example scripts on the
website in order to demonstrate the different ways to use mpl?
Ben Root
> EOL
>
> PS: Here is an example: the following code does *not* display the first
> figure (Matplotlib 1.0.0 on Mac OS X with the GTKAgg backend):
Off the top of my head, this is either a bug that has been fixed, or
is intended behavior. Turning interactive mode on after having made a
figure might be confusing pyplot. Calling show at anytime will
produce the intended behavior. show() is your friend.
> $$$
> from matplotlib import pyplot as pp
>
> pp.figure()
> pp.plot([10, 20, 50])
> pp.draw() # Will not be displayed despite the draw()
>
> pp.ion() # Interactive mode on
> pp.figure()
> pp.plot([100, 20, 10])
>
> raw_input('Press enter...') # Only the second graph is displayed
> $$$
> --
> View this message in context: http://old.nabble.com/Exact-semantics-of-ion%28%29---tp31728909p31731176.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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> Download your free trial now.
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>

Hi Corbin,
On Mon, May 30, 2011 at 10:09 AM, Corbin Fletcher <cef...@gm...> wrote:
> I am a college student and I want to be able to use matplotlib to plot
> publishing quality graphs
> and embed them into my pdf documents (all composed with latex) for
> college. This would give my documents a more professional look.
>
> I do not know the first thing about Python language. And I am only able
> to create a very simple pie graph by using and editing a script file
> from mpl's website.
>
> But things are not going well and I do not want to use any other
> programs such as GNUplot or other such open source programs which run on
> my linux machine and I am not purchasing any anything developed by
> Micro$oft.
>
> I have come to a road block and need guidance regarding what materials
> (e.g. books) I should purchase to help teach myself python/mathplolib or
> how I should move forward to become proficient use mpl?
>
> I know little or nothing now so any newbie advice is much appreciated.
I used matplotlib to generate publication-quality images for academic
literature and my dissertation. To get started, I recommend reading
"Learning Python" by Mark Lutz, which is a gentle intro to the
language. Then I would move on to either skimming through the
matplotlib documentation at
http://matplotlib.sourceforge.net/users/index.html , or looking
through some of the examples at
http://matplotlib.sourceforge.net/examples/index.html . The mathtext
support is pretty good, now that matplotlib implements the mathtext
layout algorithms, but if you are an advanced latexer, you may want to
look at the tex demo and usetex demos at the above examples website.
Darren

Hi Corbin,
it is pretty much impossible that you will get a reply here that helps
you to become a professional Python programmer from scratch without
asking a specific question :)
Please try to read some introductory courses and create your first
sample plots, and then ask. I am sure you will get answers then.
Best of luck -- and be assured that Python/Scipy/Numpy/Matplotlib is
indeed a perfect toolbox for astonishing, professional and versatile
data processing and plotting. I am using it for everything, from
simple calculations to severe data reduction and scientific plotting.
Daniel
> I am a college student and I want to be able to use matplotlib to plot
> publishing quality graphs
> and embed them into my pdf documents (all composed with latex) for
> college. This would give my documents a more professional look.
>
> I do not know the first thing about Python language. And I am only able
> to create a very simple pie graph by using and editing a script file
> from mpl's website.
>
> But things are not going well and I do not want to use any other
> programs such as GNUplot or other such open source programs which run on
> my linux machine and I am not purchasing any anything developed by
> Micro$oft.
>
> I have come to a road block and need guidance regarding what materials
> (e.g. books) I should purchase to help teach myself python/mathplolib or
> how I should move forward to become proficient use mpl?
>
> I know little or nothing now so any newbie advice is much appreciated.
>
> Thanks in advance.
>
>
>
>
>
> ------------------------------------------------------------------------------
> vRanger cuts backup time in half-while increasing security.
> With the market-leading solution for virtual backup and recovery,
> you get blazing-fast, flexible, and affordable data protection.
> Download your free trial now.
> http://p.sf.net/sfu/quest-d2dcopy1
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

I am a college student and I want to be able to use matplotlib to plot 
publishing quality graphs
and embed them into my pdf documents (all composed with latex) for 
college. This would give my documents a more professional look.
I do not know the first thing about Python language. And I am only able 
to create a very simple pie graph by using and editing a script file 
from mpl's website.
But things are not going well and I do not want to use any other 
programs such as GNUplot or other such open source programs which run on 
my linux machine and I am not purchasing any anything developed by 
Micro$oft.
I have come to a road block and need guidance regarding what materials 
(e.g. books) I should purchase to help teach myself python/mathplolib or 
how I should move forward to become proficient use mpl?
I know little or nothing now so any newbie advice is much appreciated. 
Thanks in advance.
 

Hi,
the content of the CSV is stored as an array after reading. You can
simply access rows and columns like in Matlab:
firstrow = a1[0]
firstcol = a1.T[0]
The .T transposes the array.
The second element of the third row would be
elem32 = a1[2][1]
which is equivalent to
elem32 = a1[2,1]
A range of e.g. rows 3 to 6 is
range36 = a1[2:6]
Please have a look here for getting started with scipy/numpy:
http://pages.physics.cornell.edu/~myers/teaching/ComputationalMethods/python/arrays.html
and
http://www.scipy.org/NumPy_for_Matlab_Users
Hope this helps,
Daniel
2011年5月27日 Karthikraja Velmurugan <vel...@gm...>:
> Hello Daniel,
>
> The code you have given is simple and works fab. Thank you very much. But I
> wasn't able to find an example which accesses the columns of a CSV files
> when I import data through "datafile="filename.csv"" option. It will be
> great if you could help with accessing individual columns. What excatly I am
> looking for is to access individual coulmns (of the same CSV file), do
> calculations using the two coumns and plot them into seperate subplots of
> the same graph.
> I modified the script a lil bit. Please find it below:
>
> import matplotlib.pyplot as plt
> import pylab
> datafile1 = 'ch1_s1_lrr.csv'
> datafile2 = 'ch1_s1_baf.csv'
> a1 = pylab.loadtxt(datafile1, comments='#', delimiter=';')
> b1 = pylab.loadtxt(datafile2, comments='#', delimiter=';')
> v1 = [0,98760,0,1]
> v2 = [0,98760,-2,2]
> plt.figure(1)
> plt.subplot(4,1,1)
> print 'loading', datafile1
> plt.axis(v2)
> plt.plot(a1, 'r.')
> plt.subplot(4,1,2)
> print 'loading', datafile2
> plt.axis(v1)
> plt.plot(b1, 'b.')
> plt.show()
>
> Thank you very much in advance for your time and suggestions.
>
> Karthik

Thank you for the info.
I added the issue to the github for now.
I will inspect the source whether there is an easy way to add subsetting 
of fonts for usetex=True case as well.
Simon
On 05/27/2011 05:02 PM, Michael Droettboom wrote:
> Ah, yes. That is all true. I'm not sure what options there may be in
> that case.
>
> Mike
>
> On 05/27/2011 10:56 AM, Simon Jesenko wrote:
>> Setting 'pdf.fonttype'=3 had no effect, embedded fonts are of fonttype=1
>> nonetheless. I guess that pdf.fonttype parameter is used only when
>> matplotlib uses it's own engine to render latex, and not when
>> text.usetex=true is used.
>>
>> Cairo backend is not support when text.usetex=true (only Agg, pdf and ps
>> according to documentation)
>>
>> On 05/27/2011 03:53 PM, Michael Droettboom wrote:
>>> Have you tried setting the rcParams "pdf.fonttype" to 3? That should
>>> subset the fonts.
>>>
>>> Also, the Cairo backend supports font subsetting.
>>>
>>> Mike
>>>
>>> On 05/27/2011 07:00 AM, Simon Jesenko wrote:
>>>> Hi,
>>>>
>>>> I have a problem with large file-sizes of plots saved to pdf, when using
>>>> rcParams['text.usetex']=True
>>>>
>>>> Files are very large (~150kb for simple line plot with some mathematical
>>>> latex expressions) as all fonts are fully embedded into pdf. When
>>>> resulting pdf is postprocessed (e.g. as is
>>>> http://zeppethefake.blogspot.com/2008/05/embedding-fonts-in-pdf-with-ghostscript.html),
>>>> so that only subset of fonts is embedded, file size is reduced
>>>> drastically(e.g. from 150kb to 15kb).
>>>>
>>>> Is there a way to enable embedding of subset of fonts in matplotlib?
>>>>
>>>> I am using matplotlib version 0.99.3.
>>>>
>>>> Did anyone else experience similar problems/found solution?
>>>>
>>>> Thank you for info/assistance!
>>>> Simon
>>>>
>>>> ------------------------------------------------------------------------------
>>>> vRanger cuts backup time in half-while increasing security.
>>>> With the market-leading solution for virtual backup and recovery,
>>>> you get blazing-fast, flexible, and affordable data protection.
>>>> Download your free trial now.
>>>> http://p.sf.net/sfu/quest-d2dcopy1
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>> ------------------------------------------------------------------------------
>>> vRanger cuts backup time in half-while increasing security.
>>> With the market-leading solution for virtual backup and recovery,
>>> you get blazing-fast, flexible, and affordable data protection.
>>> Download your free trial now.
>>> http://p.sf.net/sfu/quest-d2dcopy1
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>> ------------------------------------------------------------------------------
>> vRanger cuts backup time in half-while increasing security.
>> With the market-leading solution for virtual backup and recovery,
>> you get blazing-fast, flexible, and affordable data protection.
>> Download your free trial now.
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>
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> With the market-leading solution for virtual backup and recovery,
> you get blazing-fast, flexible, and affordable data protection.
> Download your free trial now.
> http://p.sf.net/sfu/quest-d2dcopy1
> _______________________________________________
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Thank you for your response.
Benjamin Root-2 wrote:
> 
> On Sunday, May 29, 2011, Eric O LEBIGOT (EOL)
> <Eri...@no...> wrote:
>>
>> What does ion() exactly do?
>>$$$
>> from matplotlib import pyplot as pp
>>
>> pp.plot([10, 20, 50])
>> pp.draw()
>>
>> raw_input('Press enter...') # No graph displayed?!!
>>$$$
> 
> Turning interactive mode on also means an implied "show" command, if
> needed. The first program can replace draw() with show(). However,
> if interactive mode is off, then the python execution pauses. With it
> on, python execution will continue.
> 
So, if anything is drawn when interactive mode is off, does one *have* to
use show() at the end? in other words does using a single raw_input() at
the end of the program force the use of the interactive mode for *all*
figures? (Closing all the figures with a simple "enter" is very convenient,
but having a performance penalty for this would not be so nice...).
Now, if I understand you correctly, I have another question. I don't
understand anymore what draw() does: in fact, it is not necessary in
interactive mode, and it does not appear to do anything in non-interactive
mode, since show() is really the function that really displays the figures. 
So, why does matplotlib offer draw()? what does it really do?
EOL
PS: Here is an example: the following code does *not* display the first
figure (Matplotlib 1.0.0 on Mac OS X with the GTKAgg backend):
$$$
from matplotlib import pyplot as pp
pp.figure()
pp.plot([10, 20, 50])
pp.draw() # Will not be displayed despite the draw()
pp.ion() # Interactive mode on
pp.figure()
pp.plot([100, 20, 10])
raw_input('Press enter...') # Only the second graph is displayed
$$$
-- 
View this message in context: http://old.nabble.com/Exact-semantics-of-ion%28%29---tp31728909p31731176.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1
Hello,
I would like to stack subplots in a figure with a couple of basic
x,y-line plots with the subplot frames removed.
But possible overlap of subplots is limited, because the drawn data
lines are clipped on the border, if you'd lets say manually reset the
ylims and decrease it below the highest data y-values.
I know it is possible with any kind of text or data annotation, but do
not find a way to let the data lines cross the frame border.
I hope I made myself halfway clear - pls. don't hesitate to ask if not.
Does one of you possibly have a solution or is it maybe plain
impossible?
Thanks!
Cheers,
Nix
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On Sunday, May 29, 2011, Eric O LEBIGOT (EOL)
<Eri...@no...> wrote:
>
> What does ion() exactly do? From reading the documentation, I gather that
> the interactive mode is equivalent to issuing an automatic draw() after each
> plotting comment. However, a program like the following one does not draw
> anything (Matplotlib 1.0, both on Mac OS X and Windows):
>
>>>>
> from matplotlib import pyplot as pp
>
> pp.plot([10, 20, 50])
> pp.draw()
>
> raw_input('Press enter...') # No graph displayed?!!
> <<<
>
> However, adding ion() and removing the draw() displays the graph. So, it
> looks like the interactive mode does more than what I gather from the docs.
> What does ion() do in addition to adding an automatic draw()? Can the above
> program be modified so as to draw the graph but without using ion()?
>
> Any input would be much appreciated!
>
> EOL
>
> PS: the documentation I was referring to reads: "The interactive property of
> the pyplot interface controls whether a figure canvas is drawn on every
> pyplot command. If interactive is False, then the figure state is updated on
> every plot command, but will only be drawn on explicit calls to draw(). When
> interactive is True, then every pyplot command triggers a draw."
Turning interactive mode on also means an implied "show" command, if
needed. The first program can replace draw() with show(). However,
if interactive mode is off, then the python execution pauses. With it
on, python execution will continue.
Note, there are some issues with the macosx backend (and it still
exists) with respect to interactive mode. When on your Mac, you can
use one of the other backends for intended behavior. Also, there were
a number of additional bug fixes with the backends between 1.0.0 and
1.0.1.
I hope this clears things up,
Ben Root
> --
> View this message in context: http://old.nabble.com/Exact-semantics-of-ion%28%29---tp31728909p31728909.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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What does ion() exactly do? From reading the documentation, I gather that
the interactive mode is equivalent to issuing an automatic draw() after each
plotting comment. However, a program like the following one does not draw
anything (Matplotlib 1.0, both on Mac OS X and Windows):
>>>
from matplotlib import pyplot as pp
pp.plot([10, 20, 50])
pp.draw()
raw_input('Press enter...') # No graph displayed?!!
<<<
However, adding ion() and removing the draw() displays the graph. So, it
looks like the interactive mode does more than what I gather from the docs. 
What does ion() do in addition to adding an automatic draw()? Can the above
program be modified so as to draw the graph but without using ion()?
Any input would be much appreciated!
EOL
PS: the documentation I was referring to reads: "The interactive property of
the pyplot interface controls whether a figure canvas is drawn on every
pyplot command. If interactive is False, then the figure state is updated on
every plot command, but will only be drawn on explicit calls to draw(). When
interactive is True, then every pyplot command triggers a draw."
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On 05/27/2011 10:18 PM, .:BrAiN BuRnEr:. wrote:
> Hi,
>
> In my plot I would like to use two x-axis, in order to label the thicks
> in two different units.
> However, when I use the twiny command, the labels of the secondary
> x-axis overlap with the title of the figure.
>
> Is there a way to increase the space between the title and the plot?
> I already tried the top option in subplot_adjust, but this is also
> moving the title!
>
> Here is a small example (attached the png output):
> plt.figure()
> ax1=plt.subplot(111)
> plt.xlabel('axis 1')
> ax2=plt.twiny(ax1)
> plt.xlabel('axis 2')
> plt.title('title')
Save a reference to the text object returned by title, and then adjust 
the y-coordinate of its position:
t = plt.title('title')
t.set_y(1.09)
plt.subplots_adjust(top=0.86)
This y-coordinate is in normalized Axes units, so 1.0 is the top of the 
Axes frame--except that there is a small additional hard-wired pad, so 
setting y to 1.0 still leaves a little space.
Eric
> plt.show()
>
>
> Thanks
> __________
> BrainBurner
>
>
>
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I was looking for some ternary plots too. I started with Chloe's code and
got it running (thanks!). I'd like to be able to plot trajectories of
chemical composition over time from a simulation. I saw that it would be
difficult to plot many points to make a curve using the existing code. 
Chloe noted that it might be good to use matplotlib's projection classes and
methods. I took a stab at it, but I'm stuck and out of time for now. I
made some progress (code and image attached). However, it has problems that
would have to be fixed to create serious plots for publications and whatnot. 
Anyways, here it is... I hope someone with more experience with matplotlib
might know what to do. I've noted the issues in the code.
Thanks,
Kevin
http://old.nabble.com/file/p31721702/ternary.png ternary.png 
http://old.nabble.com/file/p31721702/ternary.py ternary.py 
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Thanks, Eric!
I had tried
pt = plot(...)
for p in pt:
 p.remove()
and that did not do the trick. However, doing it the way you
suggested worked like a charm. Thanks!
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
http://www.patricktmarsh.com
On Fri, May 27, 2011 at 2:57 PM, Eric Firing <ef...@ha...> wrote:
> On 05/27/2011 07:53 AM, Patrick Marsh wrote:
>> Greetings,
>>
>> I'm needing to create two plots, one is to serve as an overlay on the
>> other. The overlay contains a set of markers to identify points in
>> the underlaid probability field. I'm doing this in a loop with a map
>> background, so to prevent redrawing the map every time, I want to
>> remove the markers after saving the plot (so I can then reuse the
>> background again). I know how to remove contours, but cannot figure
>> out how to remove points. Here is a link to a sample script that
>> illustrates the problem.
>>
>> https://gist.github.com/072c8612f313e8ea2355
>>
>> Ideally, I would expect each plot to have only a single point, but the
>> old points aren't being removed and are displayed on subsequent
>> images. What am I doing wrong?
>
> Illustration with ipython -pylab:
>
> In [1]: xx = plot(1.3, 2.4, 'ro')
>
> In [2]: xx[0].remove()
>
> In [3]: draw()
>
> Note that plot() returns a list of Line2D objects, each of which has a
> remove() method.
>
> Eric
>
>
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>

Thank you all! vlines was exactly what I needed.
Amy
On Fri, May 27, 2011 at 3:03 PM, Alan G Isaac <ala...@gm...> wrote:
> On 5/27/2011 12:28 PM, Amy Zhang wrote:
> > I've created the following chart using matplotlib.pyplot.plot(). However,
> I would like to see the data points as bars from the bottom of the graph up
> to the points
>
> Matplotlib supports stem plots:
>
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.stem
> (Oddly, the only example of this seems to be a link to a Matlab plot...?
> But anyway, Matplotlib works great for this.)
> But if you really want, you can use vlines:
> http://matplotlib.sourceforge.net/examples/pylab_examples/vline_demo.html
>
> hth,
> Alan Isaac
>
>
>
> ------------------------------------------------------------------------------
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> With the market-leading solution for virtual backup and recovery,
> you get blazing-fast, flexible, and affordable data protection.
> Download your free trial now.
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>

Hello Daniel,
The code you have given is simple and works fab. Thank you very much. But I
wasn't able to find an example which accesses the columns of a CSV files
when I import data through "datafile="filename.csv"" option. It will be
great if you could help with accessing individual columns. What excatly I am
looking for is to access individual coulmns (of the same CSV file), do
calculations using the two coumns and plot them into seperate subplots of
the same graph.
I modified the script a lil bit. Please find it below:
*import matplotlib.pyplot as plt
import pylab
datafile1 = 'ch1_s1_lrr.csv'
datafile2 = 'ch1_s1_baf.csv'*
*a1 = pylab.loadtxt(datafile1, comments='#', delimiter=';')
b1 = pylab.loadtxt(datafile2, comments='#', delimiter=';')*
*v1 = [0,98760,0,1]
v2 = [0,98760,-2,2]*
*plt.figure(1)*
*plt.subplot(4,1,1)
print 'loading', datafile1
plt.axis(v2)
plt.plot(a1, 'r.')*
*plt.subplot(4,1,2)
print 'loading', datafile2
plt.axis(v1)
plt.plot(b1, 'b.')*
*plt.show()*
Thank you very much in advance for your time and suggestions.
Karthik

On 05/27/2011 07:53 AM, Patrick Marsh wrote:
> Greetings,
>
> I'm needing to create two plots, one is to serve as an overlay on the
> other. The overlay contains a set of markers to identify points in
> the underlaid probability field. I'm doing this in a loop with a map
> background, so to prevent redrawing the map every time, I want to
> remove the markers after saving the plot (so I can then reuse the
> background again). I know how to remove contours, but cannot figure
> out how to remove points. Here is a link to a sample script that
> illustrates the problem.
>
> https://gist.github.com/072c8612f313e8ea2355
>
> Ideally, I would expect each plot to have only a single point, but the
> old points aren't being removed and are displayed on subsequent
> images. What am I doing wrong?
Illustration with ipython -pylab:
In [1]: xx = plot(1.3, 2.4, 'ro')
In [2]: xx[0].remove()
In [3]: draw()
Note that plot() returns a list of Line2D objects, each of which has a 
remove() method.
Eric

On 5/27/2011 12:28 PM, Amy Zhang wrote:
> I've created the following chart using matplotlib.pyplot.plot(). However, I would like to see the data points as bars from the bottom of the graph up to the points
Matplotlib supports stem plots:
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.stem
(Oddly, the only example of this seems to be a link to a Matlab plot...?
But anyway, Matplotlib works great for this.)
But if you really want, you can use vlines:
http://matplotlib.sourceforge.net/examples/pylab_examples/vline_demo.html
hth,
Alan Isaac

Greetings,
I'm needing to create two plots, one is to serve as an overlay on the
other. The overlay contains a set of markers to identify points in
the underlaid probability field. I'm doing this in a loop with a map
background, so to prevent redrawing the map every time, I want to
remove the markers after saving the plot (so I can then reuse the
background again). I know how to remove contours, but cannot figure
out how to remove points. Here is a link to a sample script that
illustrates the problem.
https://gist.github.com/072c8612f313e8ea2355
Ideally, I would expect each plot to have only a single point, but the
old points aren't being removed and are displayed on subsequent
images. What am I doing wrong?
Patrick
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
http://www.patricktmarsh.com

Hi Amy,
Use the vlines() function. Its what I have used in the past.
Cheers,
Aman
On Fri, May 27, 2011 at 12:28 PM, Amy Zhang <amy...@gm...>wrote:
> Hello,
>
> I've created the following chart using matplotlib.pyplot.plot(). However, I
> would like to see the data points as bars from the bottom of the graph up to
> the points in order to more easily show the lack of data at certain dates.
> Is there a way to do this using plot()? If not, how do I go about making a
> bar chart using time as my xaxis? And how would I format the xticks so that
> only months are shown, as I have it now?
>
> Thank you,
> Amy
>
>
> ------------------------------------------------------------------------------
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> Download your free trial now.
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> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

The main difference is file size. When ps.useafm is True, the fonts 
don't have to be embedded because it uses fonts that are required to be 
available with every Postscript interpreter. When it is False, the 
fonts have to be included as part of the file, resulting in larger file 
sizes.
Mike
On 05/27/2011 11:10 AM, Oscar Benjamin wrote:
> Thanks, Mike.
>
> I've been away from the Windows machine for a couple of days. I did
> ps.useafm set and your suggestion solved the problem.
>
> Is there a reason not to use TrueType in all of my figures (since it
> wasn't enabled by default)?
>
> Thanks,
> Oscar.
> On Tue, May 24, 2011 at 11:06:10AM -0400, Michael Droettboom wrote:
>> You probably have "ps.useafm" set, right? Unfortunately, the stock
>> Postscript AFM fonts do not have a blackboard style. Setting
>> ps.useafm to False will use Truetype fonts, and it should work.
>>
>> Cheers,
>> Mike
>>
>> On 05/24/2011 10:50 AM, Oscar Benjamin wrote:
>>> Hello,
>>>
>>> I'm getting an error using latex mathbb and exporting to eps. The
>>> following script demonstrates:
>>>
>> >from pylab import figure, show
>>> fig = figure()
>>> ax = fig.add_subplot(1, 1, 1)
>>> ax.set_title(r'$\mathbb{R}$')
>>> fig.savefig('mathbb.eps')
>>>
>>> On Windows the above gives me a long traceback ending with:
>>> IOError: [Errno 2] No such file or directory: 'q:\\tools\\Python26\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\afm\\bb.afm'
>>>
>>> It works fine if using \mathbf instead of \mathbb or when saving
>>> to pdf etc.
>>>
>>> I thought I had this working on Linux, does anyone know if this is
>>> a problem to do with my installation, or maybe an unsupported
>>> feature.
>>>
>>> Thanks,
>>> Oscar.
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> vRanger cuts backup time in half-while increasing security.
>>> With the market-leading solution for virtual backup and recovery,
>>> you get blazing-fast, flexible, and affordable data protection.
>>> Download your free trial now.
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>>>
>>>
>>> _______________________________________________
>>> Matplotlib-users mailing list
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>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>> -- 
>> Michael Droettboom
>> Science Software Branch
>> Space Telescope Science Institute
>> Baltimore, Maryland, USA
>>
>> ------------------------------------------------------------------------------
>> vRanger cuts backup time in half-while increasing security.
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>> you get blazing-fast, flexible, and affordable data protection.
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>
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Thanks, Mike.
I've been away from the Windows machine for a couple of days. I did
ps.useafm set and your suggestion solved the problem.
Is there a reason not to use TrueType in all of my figures (since it
wasn't enabled by default)?
Thanks,
Oscar.
On Tue, May 24, 2011 at 11:06:10AM -0400, Michael Droettboom wrote:
> You probably have "ps.useafm" set, right? Unfortunately, the stock
> Postscript AFM fonts do not have a blackboard style. Setting
> ps.useafm to False will use Truetype fonts, and it should work.
> 
> Cheers,
> Mike
> 
> On 05/24/2011 10:50 AM, Oscar Benjamin wrote:
> >Hello,
> >
> >I'm getting an error using latex mathbb and exporting to eps. The
> >following script demonstrates:
> >
> >from pylab import figure, show
> >fig = figure()
> >ax = fig.add_subplot(1, 1, 1)
> >ax.set_title(r'$\mathbb{R}$')
> >fig.savefig('mathbb.eps')
> >
> >On Windows the above gives me a long traceback ending with:
> >IOError: [Errno 2] No such file or directory: 'q:\\tools\\Python26\\lib\\site-packages\\matplotlib\\mpl-data\\fonts\\afm\\bb.afm'
> >
> >It works fine if using \mathbf instead of \mathbb or when saving
> >to pdf etc.
> >
> >I thought I had this working on Linux, does anyone know if this is
> >a problem to do with my installation, or maybe an unsupported
> >feature.
> >
> >Thanks,
> >Oscar.
> >
> >
> >------------------------------------------------------------------------------
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> >With the market-leading solution for virtual backup and recovery,
> >you get blazing-fast, flexible, and affordable data protection.
> >Download your free trial now.
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> >
> >
> >_______________________________________________
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> 
> 
> -- 
> Michael Droettboom
> Science Software Branch
> Space Telescope Science Institute
> Baltimore, Maryland, USA
> 
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