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Re: [Matplotlib-users] How to show separate legend for each subplot

From: Ryan M. <rm...@gm...> - 2010年03月31日 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&#174; Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
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>
>
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

Re: [Matplotlib-users] How to show separate legend for each subplot

From: Omer K. <Ome...@ce...> - 2010年03月31日 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
>

Re: [Matplotlib-users] How to show last value on the line

From: <PH...@Ge...> - 2010年03月31日 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].

Re: [Matplotlib-users] How to show separate legend for each subplot

From: <PH...@Ge...> - 2010年03月31日 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

[Matplotlib-users] How to show separate legend for each subplot

From: Omer K. <Ome...@ce...> - 2010年03月31日 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

[Matplotlib-users] How to show last value on the line

From: Omer K. <Ome...@ce...> - 2010年03月31日 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

[Matplotlib-users] Fwd: Problem in background image and curve plotted in it

From: yogesh k. <yog...@gm...> - 2010年03月31日 09:12:05

Attachments: a3.png

[Matplotlib-users] Problem in background image and curve plotted in it

From: yogesh k. <yog...@gm...> - 2010年03月31日 09:08:46

Attachments: a3.png deformed.png

Re: [Matplotlib-users] permille sign in labels

From: Nils W. <nw...@ia...> - 2010年03月31日 08:30:33

On 2010年3月24日 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

[Matplotlib-users] How to save file in to image in desired resolution in matplotlib?

From: yogesh k. <yog...@gm...> - 2010年03月31日 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

[Matplotlib-users] field plot with null clines

From: Alan G I. <ai...@am...> - 2010年03月31日 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

Re: [Matplotlib-users] Shifting the Origin

From: Ryan M. <rm...@gm...> - 2010年03月31日 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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