Re: [Matplotlib-users] Draggable is not working on multiple legends of plots which are generated with twinx()

[Thomas C. <tca...@gm...>]

As I said in the first email, you need to put both legend artists on the
top axes.  The link is to the documentation on _how_ to put more than one
legend in the same axes.

Tom

On Wed, Mar 11, 2015 at 10:58 AM liu lily <pol...@gm...> wrote:

> thanks,
> then are there any workaround on my case?
> or are there any other libaries which I CAN use to plot and manipulate the
> GUI?
>
> On Wed, Mar 11, 2015 at 3:54 PM, Benjamin Root <ben...@ou...> wrote:
>
>> By "top" he means "whichever axes was added most recently". When twining,
>> the new axes is added on top of the original axes.
>>
>> I hope that clears it up.
>>
>> Ben Root
>>
>> On Wed, Mar 11, 2015 at 10:05 AM, liu lily <pol...@gm...>
>> wrote:
>>
>>> I dont understand
>>> you say it is the first axe
>>> but why in my case, only the second legend is draggable? it is in the
>>> second axe
>>>
>>> besides, since I have to use both y-axis on the left and on the right,
>>> it seems I have to have two axes,
>>> are there any workarounds? thanks!
>>>
>>> On Wed, Mar 11, 2015 at 2:22 PM, Thomas Caswell <tca...@gm...>
>>> wrote:
>>>
>>>> The mouse events only propagate to the top axes.  You will have to add
>>>> both legends to the same (top) axes.
>>>>
>>>> See http://matplotlib.org/users/legend_guide.html#multiple-legend
>>>>
>>>>
>>>> Tom
>>>> On Wed, Mar 11, 2015, 08:57 liu lily <pol...@gm...> wrote:
>>>>
>>>>> Hi, all:
>>>>>
>>>>> I have two legends, as below, I find that I can't drag the first
>>>>> legend, what is the problem? how to deal with it? thanks!
>>>>>
>>>>>         import matplotlib.pyplot as plt
>>>>>
>>>>>         fig1, ax1 = plt.subplots()
>>>>>         ax2 = ax1.twinx()
>>>>>
>>>>>         ax1.plot([1,2,3],[0.1,0.82,0.3],'y*', label="one")
>>>>>         ax2.plot([1,2,3],[5,6,7],'ro', label="two")
>>>>>
>>>>>         leg1 = ax1.legend()
>>>>>         leg2 = ax2.legend()
>>>>>
>>>>>         leg1.draggable(state=True)
>>>>>         leg2.draggable(state=True)
>>>>>         plt.show()
>>>>>
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>