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From: Ryan M. <rm...@gm...> - 2010-03-31 17:00:10
|
On Wed, Mar 31, 2010 at 10:21 AM, Omer Khalid <Ome...@ce...> wrote:
> Hi Paul,
> Thanks for your prompt response. It did help :)
> But it seems that axis don't seems to accept title, xlable and ylable values
> any more. Any ideas on that?
If you're trying to use the functions plt.title() and plt.xlabel(),
they only work on the current axes object (basically, the most
recently created one). You'll want to try to use methods on the axes
themselves:
ax1.set_title('ax1 title')
ax1.set_xlabel('xlabel')
ax2.set_title('ax2 title')
ax2.set_xlabel('xlabel')
Ryan
> On Wed, Mar 31, 2010 at 17:43, <PH...@ge...> wrote:
>>
>> From: Omer Khalid [mailto:Ome...@ce...]
>> Sent: Wednesday, March 31, 2010 6:20 AM
>> To: Matplotlib Users
>> Subject: [Matplotlib-users] How to show separate legend for each subplot
>>
>> Hi,
>>
>> I am wondering is there a way one could show a separate legend for each
>> subplot in a figure? I would really really appreciate any ideas on this.
>> `~~~~~~~~~~~~~~~~~~~~~~~~~'
>>
>> Omer,
>>
>> Give this a shot:
>> # code --------->
>> import matplotlib.pyplot as pl
>> fig = pl.figure()
>> ax1 = fig.add_subplot(1,2,1)
>> ax2 = fig.add_subplot(1,2,2)
>>
>> ax1.plot([1,2], [3,4], 'ko', label='First Axes')
>> ax2.plot([2,3], [4,5[, 'bs', label='Second Axes')
>>
>> ax1.legend()
>> ax2.legend()
>> # <------------- code
>>
>> There's also an example in the Examples section of the MPL website:
>>
>> http://matplotlib.sourceforge.net/examples/pylab_examples/legend_demo3.html
>>
>> Hope that helps,
>> -paul
>
>
> ------------------------------------------------------------------------------
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
|
|
From: Omer K. <Ome...@ce...> - 2010-03-31 16:21:17
|
Hi Paul, Thanks for your prompt response. It did help :) But it seems that axis don't seems to accept title, xlable and ylable values any more. Any ideas on that? Cheers Omer On Wed, Mar 31, 2010 at 17:43, <PH...@ge...> wrote: > From: Omer Khalid [mailto:Ome...@ce...] > Sent: Wednesday, March 31, 2010 6:20 AM > To: Matplotlib Users > Subject: [Matplotlib-users] How to show separate legend for each subplot > > Hi, > > I am wondering is there a way one could show a separate legend for each > subplot in a figure? I would really really appreciate any ideas on this. > `~~~~~~~~~~~~~~~~~~~~~~~~~' > > Omer, > > Give this a shot: > # code ---------> > import matplotlib.pyplot as pl > fig = pl.figure() > ax1 = fig.add_subplot(1,2,1) > ax2 = fig.add_subplot(1,2,2) > > ax1.plot([1,2], [3,4], 'ko', label='First Axes') > ax2.plot([2,3], [4,5[, 'bs', label='Second Axes') > > ax1.legend() > ax2.legend() > # <------------- code > > There's also an example in the Examples section of the MPL website: > http://matplotlib.sourceforge.net/examples/pylab_examples/legend_demo3.html > > Hope that helps, > -paul > |
|
From: <PH...@Ge...> - 2010-03-31 15:45:47
|
From: Omer Khalid [mailto:Ome...@ce...] Sent: Wednesday, March 31, 2010 6:14 AM To: Matplotlib Users Subject: [Matplotlib-users] How to show last value on the line Hi, I have produced number of charts in my research thesis. On any given chart, there are number of lines. I would like to display the last value on each line to show at which precise value it's ending. Thanks, Omer ~~~~~~~~~~~~~~~~~~~~ Omer, Give something like this a shot: http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo.html Remember that in python you can easily access the last element of an array (x) with x[-1]. |
|
From: <PH...@Ge...> - 2010-03-31 15:43:24
|
From: Omer Khalid [mailto:Ome...@ce...] Sent: Wednesday, March 31, 2010 6:20 AM To: Matplotlib Users Subject: [Matplotlib-users] How to show separate legend for each subplot Hi, I am wondering is there a way one could show a separate legend for each subplot in a figure? I would really really appreciate any ideas on this. `~~~~~~~~~~~~~~~~~~~~~~~~~' Omer, Give this a shot: # code ---------> import matplotlib.pyplot as pl fig = pl.figure() ax1 = fig.add_subplot(1,2,1) ax2 = fig.add_subplot(1,2,2) ax1.plot([1,2], [3,4], 'ko', label='First Axes') ax2.plot([2,3], [4,5[, 'bs', label='Second Axes') ax1.legend() ax2.legend() # <------------- code There's also an example in the Examples section of the MPL website: http://matplotlib.sourceforge.net/examples/pylab_examples/legend_demo3.html Hope that helps, -paul |
|
From: Omer K. <Ome...@ce...> - 2010-03-31 13:20:04
|
Hi, I am wondering is there a way one could show a separate legend for each subplot in a figure? I would really really appreciate any ideas on this. Thanks, Omer |
|
From: Omer K. <Ome...@ce...> - 2010-03-31 13:14:13
|
Hi, I have produced number of charts in my research thesis. On any given chart, there are number of lines. I would like to display the last value on each line to show at which precise value it's ending. Thanks, Omer |
|
From: yogesh k. <yog...@gm...> - 2010-03-31 09:12:05
|
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From: yogesh k. <yog...@gm...> - 2010-03-31 09:08:46
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From: Nils W. <nw...@ia...> - 2010-03-31 08:30:33
|
On Wed, 24 Mar 2010 10:14:29 -0400 Michael Droettboom <md...@st...> wrote: > You can use Unicode. > > ylabel(u'\u2030') > > http://www.unicode.org/charts/charindex.html > > Mike Degree Celsius u'\u2103' doesn't work. /usr/local/lib64/python2.4/site.packages/matplotlib/mathtext.py:722: MathTextWarning: Unrecognized symbol '\u2103'. Substituting with a dummy symbol. How can I resolve the problem ? Nils |
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From: yogesh k. <yog...@gm...> - 2010-03-31 07:24:18
|
Dear All,
I am using one image of 235X130 and plotting the curve on it,
now when i save it it goes in the resoltuion of 800X600,
I want to keep the resolution intact.What can be done for that to keep the
resolution same?
I am using
savefig('/home/jaguar/Softwares/Development/Python/bunty.png')
Thanks in advance!
Regards
Yogesh
|
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From: Alan G I. <ai...@am...> - 2010-03-31 02:54:00
|
To get a field plot with null clines, I'm using the approach John illustrated here: http://mail.scipy.org/pipermail/scipy-user/2007-October/014290.html Is this the recommended approach these days? Thanks, Alan Isaac |
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From: Ryan M. <rm...@gm...> - 2010-03-31 01:19:49
|
(Putting back on list) On Tue, Mar 30, 2010 at 5:06 PM, Rachel-Mikel Arce Jaeger <Rac...@hm...> wrote: > I see. I think utilizing the backend will be sufficient for now. One more question (and thank you so much for your help!). Switching the xaxis to the top crushes it into the title, but adding more linespace to the title causes the title to go off the canvas. I really want to either resize the canvas or shift the figure down, but all I can find are functions for resizing the figure, which causes resolution issues. Are there any calls that let me shift to location of the figure on the canvas or else resize the canvas in relation to the figure? You're looking for the subplots_adjust() method of the figure class. You don't have to manually create a figure, as one is created for you when you start calling pyplot functions. But it's useful to be able to get to the object sometimes. # At the beginning, before any plotting fig = plt.figure() #OR at some point during/after plotting, before show() fig = plt.gcf() # Gives margins in normalized figure coordinates, so 0.0 represents very bottom, 1.0 represents very top. fig.subplots_adjust(top=0.85) Hope that helps, Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma |
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From: Gökhan S. <gok...@gm...> - 2010-03-30 21:59:29
|
On Tue, Mar 30, 2010 at 3:17 PM, Ryan May <rm...@gm...> wrote:
>
> According to the docstring, it only puts ticks in both locations, not
> labels, which is what I'm seeing here on SVN with the PyGTK backend.
>
> Are you seeing something different?
>
>
Yes, same here.
It is just a bit unexpected
ax.xaxis.set_ticks_position('top')
puts labels as well but 'both' works only for ticks. It would be nice in
some instances to have tick-labels appear on bottom and top with this easy
way one-line way.
--
Gökhan
|
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From: Ryan M. <rm...@gm...> - 2010-03-30 21:55:43
|
On Tue, Mar 30, 2010 at 3:51 PM, Rachel-Mikel Arce Jaeger <Rac...@hm...> wrote: > Ryan's code works great - thanks! > > The only problem I have is that show() never terminates? If I force terminate it and close the figure, then all I ever have to do is call draw() and the figure reappears, but I have to call show() at least once, or else the figure will never appear. I don't want my program to create a figure until I absolutely have to, but I want to avoid non-termination and force-termination as well. Is there a way to do that? You really should only call show() once (because it starts the event loops for the user interface), usually at the end of your script, which will bring up all of the figures. The script will then exit when you close all of the figures. If you're doing interactive work, you probably want to look into something like ipython (http://ipython.scipy.org/moin/) which makes working with plots interactively a breeze. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma |
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From: Rachel-Mikel A. J. <Rac...@HM...> - 2010-03-30 21:52:01
|
Ryan's code works great - thanks!
The only problem I have is that show() never terminates? If I force terminate it and close the figure, then all I ever have to do is call draw() and the figure reappears, but I have to call show() at least once, or else the figure will never appear. I don't want my program to create a figure until I absolutely have to, but I want to avoid non-termination and force-termination as well. Is there a way to do that?
~Rachel
----- Original Message -----
From: "Ryan May" <rm...@gm...>
To: "Gökhan Sever" <gok...@gm...>
Cc: "Rachel-Mikel_ArceJaeger" <Rac...@hm...>, "matplotlib-users" <mat...@li...>
Sent: Tuesday, March 30, 2010 1:17:34 PM GMT -08:00 US/Canada Pacific
Subject: Re: [Matplotlib-users] Shifting the Origin
On Tue, Mar 30, 2010 at 2:10 PM, Gökhan Sever <gok...@gm...> wrote:
> On Tue, Mar 30, 2010 at 2:37 PM, Ryan May <rm...@gm...> wrote:
>> You're looking for the set_ticks_position method on the xaxis (I've
>> also tweaked setting the limits):
>>
>> plt.plot(xcoords, ycoords, 'ro')
>> plt.xlim(0, maxX)
>> plt.ylim(maxY, 0)
>> ax = plt.gca() # Get current axes object
>> ax.xaxis.set_ticks_position('top')
>> plt.show()
>
> This is easier :)
>
> Could you get this one working ?
>
> ax.xaxis.set_ticks_position('both')
>
> It doesn't have an effect here on Qt4Agg using svn copy of matplotlib.
According to the docstring, it only puts ticks in both locations, not
labels, which is what I'm seeing here on SVN with the PyGTK backend.
Are you seeing something different?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
|
|
From: Friedrich R. <fri...@gm...> - 2010-03-30 21:24:14
|
2010/3/30 Chloe Lewis <ch...@be...>: > But this example doesn't solve the problem I was thinking of: it shows lots > of colors in the colorbar that aren't used in the plot. I'm so stupid! Here is the correct code. I just interchanged "-bounds, bound" with "min_val, max_val" on line 28. The only thing I didn't fix was to exclude the 0.00 from the ticks, but this Ariel already did, so I leave it now like it is. Friedrich |
|
From: Friedrich R. <fri...@gm...> - 2010-03-30 21:10:11
|
2010/3/30 Filipe Pires Alvarenga Fernandes <oc...@gm...>: > However, my knowledge of python is very limited, even though I think I > understood what you suggested I do not know how to get the shape (of > the figure?) for this part: > >>>> fig.set_size_inches(float(shape[0]) / dpi, float(shape[1]) / dpi) > > error is: > > Traceback (most recent call last): > File "blueearth-map.py", line 108, in <module> > fig.set_size_inches(float(shape[0]) / dpi, float(shape[1]) / dpi) > TypeError: 'function' object is unsubscriptable > > It seems that it ended up calling a function shape instead of a variable shape. You're completely right, I assumed that you fill in some 2-element vector in *shape*, it was intended as an /argument/. The function attemted to be indexed is imported from numpy by matplotlib.pyplot: There is a code line "from numpy import *". So, simply put some line somewhere like: shape = [500, 500] . You have to set or have to calculate the figure's shape in pixels somewhere, because you need it to convert the rgb string back into a PIL image. It's not that nice, I know, for your problem? Friedrich |
|
From: Ryan M. <rm...@gm...> - 2010-03-30 20:17:40
|
On Tue, Mar 30, 2010 at 2:10 PM, Gökhan Sever <gok...@gm...> wrote:
> On Tue, Mar 30, 2010 at 2:37 PM, Ryan May <rm...@gm...> wrote:
>> You're looking for the set_ticks_position method on the xaxis (I've
>> also tweaked setting the limits):
>>
>> plt.plot(xcoords, ycoords, 'ro')
>> plt.xlim(0, maxX)
>> plt.ylim(maxY, 0)
>> ax = plt.gca() # Get current axes object
>> ax.xaxis.set_ticks_position('top')
>> plt.show()
>
> This is easier :)
>
> Could you get this one working ?
>
> ax.xaxis.set_ticks_position('both')
>
> It doesn't have an effect here on Qt4Agg using svn copy of matplotlib.
According to the docstring, it only puts ticks in both locations, not
labels, which is what I'm seeing here on SVN with the PyGTK backend.
Are you seeing something different?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
|
|
From: Gökhan S. <gok...@gm...> - 2010-03-30 20:10:36
|
On Tue, Mar 30, 2010 at 2:37 PM, Ryan May <rm...@gm...> wrote:
> You're looking for the set_ticks_position method on the xaxis (I've
> also tweaked setting the limits):
>
> plt.plot(xcoords, ycoords, 'ro')
> plt.xlim(0, maxX)
> plt.ylim(maxY, 0)
> ax = plt.gca() # Get current axes object
> ax.xaxis.set_ticks_position('top')
> plt.show()
>
> Ryan
>
>
This is easier :)
Could you get this one working ?
ax.xaxis.set_ticks_position('both')
It doesn't have an effect here on Qt4Agg using svn copy of matplotlib.
--
Gökhan
|
|
From: Jae-Joon L. <lee...@gm...> - 2010-03-30 20:02:00
|
On Tue, Mar 30, 2010 at 11:12 AM, Julien <ju_...@ya...> wrote: > This script should give you a srange historamme, with bins that are half > the size they shoud be. > I'm sorry but it is not clear what is wrong. The histogram looks just fine to me. Maybe you wanted to do plt.hist(sorted(liste_histo),bins=range(31)) ? -JJ |
|
From: Jae-Joon L. <lee...@gm...> - 2010-03-30 19:46:22
|
On Tue, Mar 30, 2010 at 2:56 PM, Eric Firing <ef...@ha...> wrote: > Is even that worth the potential extra complexity, both in the code and in > the documentation? What is the real benefit? > I think there are some benefit of moving artists to another axes. Also this will help enabling moving an axes to another figure. http://www.mail-archive.com/mat...@li.../msg13544.html Anyhow, given that I don't know how the implementation will make things more complicated. I don't think i'm in a good position to discuss whether it is worth while to do. While (as I said) I'm not very kin to implementing this feature, I'll discuss this issue with you and others when I have more idea (or actual code) in the future. Regards, -JJ |
|
From: Ryan M. <rm...@gm...> - 2010-03-30 19:37:56
|
2010/3/29 Rachel-Mikel_ArceJaeger <Rac...@hm...>:
> Hello,
>
> This is my first time trying out this list, so please forgive me if I've doing this wrong.
>
> I'm trying to create a plot that has its origin in the upper-left hand corner, rather than the lower-left hand corner. I've discovered that I get the same effect if I do:
>
> plt.plot( xcoords, ycoords, 'ro' )
> plt.axis( [0, maxX, maxY, 0] )
You're looking for the set_ticks_position method on the xaxis (I've
also tweaked setting the limits):
plt.plot(xcoords, ycoords, 'ro')
plt.xlim(0, maxX)
plt.ylim(maxY, 0)
ax = plt.gca() # Get current axes object
ax.xaxis.set_ticks_position('top')
plt.show()
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
|
|
From: Gökhan S. <gok...@gm...> - 2010-03-30 19:36:45
|
On Mon, Mar 29, 2010 at 10:20 PM, <Rac...@hm...> wrote: > Hello, > > This is my first time trying out this list, so please forgive me if I've > doing this wrong. > > I'm trying to create a plot that has its origin in the upper-left hand > corner, rather than the lower-left hand corner. I've discovered that I get > the same effect if I do: > > plt.plot( xcoords, ycoords, 'ro' ) > plt.axis( [0, maxX, maxY, 0] ) > > However, the x-axis still appears on the bottom of the graph rather than > the top. > > Is there a way that I can shift the location of the origin more easily, or > at least shift where the axis is written at? > > Thanks! > Spines should do the trick. Take a look at: http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html#pylab-examples-spine-placement-demo -- Gökhan |
|
From: Ryan M. <rm...@gm...> - 2010-03-30 19:32:36
|
On Tue, Mar 30, 2010 at 11:15 AM, Chloe Lewis <ch...@be...> wrote: > But this example doesn't solve the problem I was thinking of: it shows > lots of colors in the colorbar that aren't used in the plot. Here's a patch (and example) that I've cooked up that adds a colorbar.set_limits() method. It works pretty well, but there's still one issue to be sorted out: Setting the data limits distorts the aspect ratio. I haven't quite figured out how best to make it so that the aspect ratio is handled based on the size in axes coordinates and not based on the data range (or rather, data aspect ratio). (I'd love to hear any ideas the other devs have.) Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma |
|
From: Eric F. <ef...@ha...> - 2010-03-30 18:57:06
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Jae-Joon Lee wrote: > Doing this in a general way is quite difficult (if possible) because a > user can set an arbitrary transform for an artist. What we may try to > do is recycling artists whose transform is simple, e.g., transData, > rather than try to come up with a general solution. Is even that worth the potential extra complexity, both in the code and in the documentation? What is the real benefit? Eric > > I'll see what I can do but I must admit that I'm not very kin to this > kind of feature and it may take a while. I recommend you to open a new > ticket in the feature requests tracker hoping that other developers > or contributors can take a look. > > http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse > > Regards, > > -JJ > > > > On Mon, Mar 29, 2010 at 1:54 PM, Thomas Robitaille > <tho...@gm...> wrote: >> Hi Jae-Joon, >> >> Thanks for your quick reply! Since for example LineCollections can be created independent of the Axes in which they are going to be plotted through the creation of a LineCollection instance, would it not be possible to have a method that allows one to retrieve an Axes-independent LineCollection from an Axes instance? (for example a get_collection method) This would then allow one to 'recycle' existing collections. >> >> Cheers, >> >> Thomas >> >> On Mar 29, 2010, at 1:40 PM, Jae-Joon Lee wrote: >> >>> As far as I can say, moving around artists from one axes to the other >>> is NOT recommended. And I encourage you to create separate artists for >>> each axes rather than try to reuse the existing ones. >>> >>> For your particular example, >>> >>> fig = mpl.figure() >>> ax2 = fig.add_subplot(1,1,1) >>> for c in ax1.collections: >>> c._transOffset=ax2.transData >>> ax2.add_collection(c) >>> >>> should work. >>> >>> Regards, >>> >>> -JJ >>> >>> >>> >>> >>> On Mon, Mar 29, 2010 at 12:24 PM, Thomas Robitaille >>> <tho...@gm...> wrote: >>>> Hello, >>>> >>>> In the following example, I am trying to copy over existing collections from one plot to another: >>>> >>>> import matplotlib.pyplot as mpl >>>> >>>> fig = mpl.figure() >>>> ax1 = fig.add_subplot(1,1,1) >>>> ax1.scatter([0.5],[0.5]) >>>> fig.savefig('test1.png') >>>> >>>> fig = mpl.figure() >>>> ax2 = fig.add_subplot(1,1,1) >>>> for c in ax1.collections: >>>> ax2.add_collection(c) >>>> fig.savefig('test2.png') >>>> >>>> However, the circle appears in the wrong place in test2.png (close to 0.4, 0.4 instead of 0.5,0.5). Is it not possible/safe to copy over collections in this way? If not, then how should this be done? >>>> >>>> Thanks, >>>> >>>> Thomas >>>> ------------------------------------------------------------------------------ >>>> Download Intel® Parallel Studio Eval >>>> Try the new software tools for yourself. Speed compiling, find bugs >>>> proactively, and fine-tune applications for parallel performance. >>>> See why Intel Parallel Studio got high marks during beta. >>>> http://p.sf.net/sfu/intel-sw-dev >>>> _______________________________________________ >>>> Matplotlib-users mailing list >>>> Mat...@li... >>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>>> >> >> ------------------------------------------------------------------------------ >> Download Intel® Parallel Studio Eval >> Try the new software tools for yourself. Speed compiling, find bugs >> proactively, and fine-tune applications for parallel performance. >> See why Intel Parallel Studio got high marks during beta. >> http://p.sf.net/sfu/intel-sw-dev >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |
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