Re: [Matplotlib-users] Using labels with "twinx()"
Thanks JJ, `axes_grid1` seems to handle this issue On Wed, Sep 28, 2011 at 4:01 PM, Jae-Joon Lee wrote: > > On Wed, Sep 28, 2011 at 3:32 PM, Klonuo Umom wrote: > > How to deal with this, without manually positioning legends and if possible > > including all annotated plot lines in one legend? > > *twinx* creates a new axes. Thus there are TWO axes, and you need to > do some manual adjustment. I believe that the solution suggested by > Stephen George is essentially the best way, although you may try to > tweak things using the Axes.get_legend_handles_labels method ( > http://matplotlib.sourceforge.net/users/legend_guide.html#what-to-be-displayed > ). > > Alternatively, you can try the axes_grid1 toolkit which automatically > merges legends for you. Check out the example below. > > http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#example-1-twinx > > Regards, > > -JJ -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Using labels with "twinx()"
Thanks Stephen, but I'm not sure if I follow correctly: I used `twinx()` as
I wanted "line 1" to be referenced on left Y-axis and "line 2" on right
Y-axis. In your example I can't see what's the purpose of twinx() command? -
It presents left Y-axis as default 0 to 1 values not referenced to any plot.
On Wed, Sep 28, 2011 at 9:14 AM, Stephen George
wrote:
> On 28/09/2011 4:32 PM, Klonuo Umom wrote:
>
> Please consider:
>
> plot([1, 2, 3, 4], label='line 1')
> twinx()
> plot([11, 12, 11, 14], label='line 2')
> legend()
>
>
> will draw only label for 'line 2'
>
> plot([1, 2, 3, 4], label='line 1')
> legend()
> twinx()
> plot([11, 12, 11, 14], label='line 2')
> legend()
>
>
> same result, as it will overwrite label 'line 1' with label 'line 2'
>
> How to deal with this, without manually positioning legends and if
> possible including all annotated plot lines in one legend?
>
>
> Thanks
>
>
> I would do something like
>
> from matplotlib import pylab
>
> LegendText = []
>
> pylab.twinx() # << had to move before first plot else it blew up
>
> pylab.plot([1, 2, 3, 4] )
> LegendText.append('line 1')
>
> pylab.plot([11, 12, 11, 14])
> LegendText.append('line 2')
>
> pylab.legend( LegendText , loc='lower right')
>
> pylab.show()
>
>
> Don't know if there is a better way
> Steve
>
>
> --
> All the data continuously generated in your IT infrastructure contains a
> definitive record of customers, application performance, security
> threats, fraudulent activity and more. Splunk takes this data and makes
> sense of it. Business sense. IT sense. Common sense.
> http://p.sf.net/sfu/splunk-d2dcopy1
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
--
All the data continuously generated in your IT infrastructure contains a
definitive record of customers, application performance, security
threats, fraudulent activity and more. Splunk takes this data and makes
sense of it. Business sense. IT sense. Common sense.
http://p.sf.net/sfu/splunk-d2dcopy1___
Matplotlib-users mailing list
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Re: [Matplotlib-users] Using labels with "twinx()"
On Wed, Sep 28, 2011 at 3:32 PM, Klonuo Umom wrote: > How to deal with this, without manually positioning legends and if possible > including all annotated plot lines in one legend? *twinx* creates a new axes. Thus there are TWO axes, and you need to do some manual adjustment. I believe that the solution suggested by Stephen George is essentially the best way, although you may try to tweak things using the Axes.get_legend_handles_labels method ( http://matplotlib.sourceforge.net/users/legend_guide.html#what-to-be-displayed ). Alternatively, you can try the axes_grid1 toolkit which automatically merges legends for you. Check out the example below. http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#example-1-twinx Regards, -JJ -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Using labels with "twinx()"
On Wednesday, September 28, 2011, Klonuo Umom wrote: > Please consider: > > plot([1, 2, 3, 4], label='line 1') > twinx() > plot([11, 12, 11, 14], label='line 2') > legend() > > will draw only label for 'line 2' > > plot([1, 2, 3, 4], label='line 1') > legend() > twinx() > plot([11, 12, 11, 14], label='line 2') > legend() > > same result, as it will overwrite label 'line 1' with label 'line 2' > How to deal with this, without manually positioning legends and if possible including all annotated plot lines in one legend? > > Thanks Could you file a bug report on this on github? Unfortunately, I think the problem is going to be fairly complicated to solve. Thanks! Ben Root -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Using labels with "twinx()"
On 28/09/2011 4:32 PM, Klonuo Umom wrote:
Please consider:
plot([1, 2, 3, 4], label='line 1')
twinx()
plot([11, 12, 11, 14], label='line 2')
legend()
will draw only label for 'line 2'
plot([1, 2, 3, 4], label='line 1')
legend()
twinx()
plot([11, 12, 11, 14], label='line 2')
legend()
same result, as it will overwrite label 'line 1' with label 'line 2'
How to deal with this, without manually positioning legends and if
possible including all annotated plot lines in one legend?
Thanks
I would do something like
from matplotlib import pylab
LegendText = []
pylab.twinx() # << had to move before first plot else it blew up
pylab.plot([1, 2, 3, 4] )
LegendText.append('line 1')
pylab.plot([11, 12, 11, 14])
LegendText.append('line 2')
pylab.legend( LegendText , loc='lower right')
pylab.show()
Don't know if there is a better way
Steve
--
All the data continuously generated in your IT infrastructure contains a
definitive record of customers, application performance, security
threats, fraudulent activity and more. Splunk takes this data and makes
sense of it. Business sense. IT sense. Common sense.
http://p.sf.net/sfu/splunk-d2dcopy1___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Using labels with "twinx()"
Please consider: plot([1, 2, 3, 4], label='line 1') twinx() plot([11, 12, 11, 14], label='line 2') legend() will draw only label for 'line 2' plot([1, 2, 3, 4], label='line 1') legend() twinx() plot([11, 12, 11, 14], label='line 2') legend() same result, as it will overwrite label 'line 1' with label 'line 2' How to deal with this, without manually positioning legends and if possible including all annotated plot lines in one legend? Thanks -- All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
