I had to change the inset_locater.py file a little though. In your suggested
code below :
axins1 = inset_axes(ax, width="100%", height="20%",
loc=3, borderpad=0,
axes_kwargs=dict(frameon=False)
)
the kwarg 'borderpad' was not doing anything because it was not being passed
to 'AnchoredSizeLocator', so there is a slightly modified version that works
for me attached that replaces the old one in
/usr/share/pyshared/mpl_toolkits/axes_grid
before anyone uses it maybe one of you more expereinced guys can say whether
it makes sense what I did.
For the lineout along the y axis I just changed the width to 20% and the
height to 100% and always set the correct data limits by using
axins1.set_ylim( ymiin= ... , ymax= ...).
Thanks again for your help :)
Raphael
Jae-Joon Lee wrote:
>
> Can you just reuse the ax1 for plotting? I guess that might be the easiest
> way.
>
> With imshow, the location of ax1 is determined at the drawing time,
> therefore you need a way to adjust the location of ax2 after this
> happens. Doing this manually requires some internal knowledge of mpl.
>
> If you use 0.99 and later, you can use axes_grid toolkits. Here is an
> example code.
>
> import matplotlib.pyplot as plt
> from mpl_toolkits.axes_grid.inset_locator import inset_axes
>
> fig = plt.figure(1, [5.5, 3])
> ax = fig.add_subplot(1,1,1)
> ax.set_aspect(1.)
>
> axins1 = inset_axes(ax, width="100%", height="20%",
> loc=3, borderpad=0,
> axes_kwargs=dict(frameon=False)
> )
>
> axins1.xaxis.set_visible(False)
> axins1.yaxis.set_visible(False)
> axins1.plot([0, 0.5, 1], [0,1,0])
>
> plt.show()
>
> See here for more details.
>
> http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html
>
> One thing to note, the current design of mpl does not allow you to
> share axis when aspect is set(i.e., w/ imshow) (or you have to have
> adjustable="datalim"), although there is a way to do it with
> axes_grid.
>
> Regards,
>
> -JJ
>
>
>
> On Wed, Sep 30, 2009 at 1:50 AM, rafa5 <raphaelwolfg...@yahoo.co.nz>
> wrote:
>>
>> Hi guys,
>>
>> I'm having problems creating a plot. I attached a crude version that I
>> drew
>> with Gimp to show what I actually want to do with matplotlib
>> http://www.nabble.com/file/p25667058/example2.png example2.png .
>> Basically
>> it boils down to placing an axes instance on top of an existing axes with
>> an
>> imshow already on it. In the end I would like to have a kind of lineout
>> of
>> the values of the array of the imshow along an x=constant & y=constant
>> line.
>> So my pathetic (and unsuccesful attempt) is something like:
>>
>> import matplotlib.pyplot as p
>> fig = p.figure(1)
>>
>> ax1_box = [0.1, 0.1, 0.5, 0.5]
>> ax2_box = [0.1, 0.1, 0.5, 0.1]
>>
>> ax1 = fig.add_axes( ax1_box )
>> ax1.imshow(data)
>>
>> ax2 = fig.add_axes( ax2_box, frameon=False)
>> ax2.plot( data[5 , :] ) #lineout of 6th row
>> for
>> example
>> p.setp(ax2b, xticks=[], yticks=[])
>>
>>
>> My problems:
>> as I don't want to add axis labels ax2 data plot is wider than ax1 data
>> plot.
>> when i resize the window ax1 and ax2 move relative to another.
>> I hope it's possible to also do the lineput along the vertical (y) axis.
>> I'm too stupid to figure this out myself.
>>
>> Thanks a lot in advance for any suggestions :)
>>
>> Raphael
>> --
>> View this message in context:
>> http://www.nabble.com/placing-a-plot-on-top-of-an-imshow-tp25667058p25667058.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
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http://www.nabble.com/file/p25714268/inset_locator.py inset_locator.py
--
View this message in context:
http://www.nabble.com/placing-a-plot-on-top-of-an-imshow-tp25667058p25714268.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
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