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Re: [Matplotlib-users] sharex with one figure aspect = 1.0
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From: Jody K. <jk...@uv...> - 2015-04-08 17:05:06
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Following up on this, I’d like to complain about set_aspect()…
If I do:
import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=2,sharex=True)
axes[0].set_ylim(0,1.)
axes[0].set_aspect(1.)
plt.show()
the x-axis goes from 0. to 1., but axes[0]’s y-axis goes from 0.32 to 0.67. Swapping the order of the y_lim call doesn’t help. This is very un-intuitive, as I’d expect set_ylim() to set what data I see no matter what else is happening w/ the plot.
I see that
axes[0].set_aspect(1.,adjustable=‘box-forced’)
will give the desired behaviour, but I really think it should be the default, not adjustable=‘datalim'. I had no idea set_aspect() had this parameter until today, and have had several cursing matches with set_aspect as it kept changing my explicitly set data limits. set_ylim() should set the y limits.
Just my opinion. Maybe there is a reason for the default, but I really think the data view should be prioritized over the shape of the axis.
Thanks, Jody
> On 8 Apr 2015, at 5:53 AM, Thomas Caswell <tca...@gm...> wrote:
>
> What version had this behavior? I recall some work on how aspect worked, but not exactly what we did. I see why it is useful, but on the other hand that sort of coupling seems like could cause some trouble if we are not careful. This all come back to we need a real layout manager/constraint solver (which no one has yet had time to address).
>
> For now I think this will do what you want:
>
> import numpy as np
> import matplotlib.pyplot as plt
> from mpl_toolkits.axes_grid1 import make_axes_locatable
>
> fig, ax_top = plt.subplots()
> ax_top.set_aspect(1)
> divider = make_axes_locatable(ax_top)
> bax_bottom = divider.append_axes('bottom', 1, pad=0.1,
> sharex=ax_top)
>
>
> Please don't use `plt.setp`, it is a MATLABism that I think is past it's time.
>
> On Wed, Apr 8, 2015 at 8:21 AM Mark Bakker <ma...@gm... <mailto:ma...@gm...>> wrote:
> import matplotlib.pyplot as plt
> %matplotlib qt
> fig, axes = plt.subplots(nrows=2,sharex=True)
> plt.setp(axes[0], aspect=1.0, adjustable='box-forced')
> plt.show()
>
> This used to create two axes of the same horizontal size. What it does now is that it scales the upper axis so that the aspect=1.0 by changing the physical size of the axis. But the physical size of the lower axis is not changed, while this used to be the case in the past (but that may have been a few years back). That sure used to be the desired behavior.
>
> Thanks for your help,
>
> Mark
>
>
>
> On Wed, Apr 8, 2015 at 2:16 PM, Thomas Caswell <tca...@gm... <mailto:tca...@gm...>> wrote:
> Can you please provide a minimal, but complete and runnable example of what you are doing?
>
>
> On Wed, Apr 8, 2015, 08:13 Mark Bakker <ma...@gm... <mailto:ma...@gm...>> wrote:
> Thanks, Thomas.
>
> That works indeed, but it doesn't make the figure adjustable, which is what I wanted (that the physical size of the axes changes while the aspect ratio is fixed to 1). I guess that functionality has been taken out.
>
> Mark
>
> On Wed, Apr 8, 2015 at 12:50 PM, Thomas Caswell <tca...@gm... <mailto:tca...@gm...>> wrote:
> What are the data limits you are using?
>
> I suspect they you are over constraining the system/order of operations issue. Try dropping the adjustable setting and pre setting both the data limits and the approximate size in figure fraction (ex via grid spec) of the axes.
>
> Tom
>
>
> On Tue, Apr 7, 2015, 15:54 Mark Bakker <ma...@gm... <mailto:ma...@gm...>> wrote:
> Hello list,
>
> I want to axes above each other. They share the x-axis. The top figure has 'aspect=1' (it is a map), the bottom figure shows a cross-section along a horizontal line on the map, so it doesn't have 'aspect=1'. When I do this with code, for example like this:
>
> fig, axes = plt.subplots(nrows=2,sharex=True)
> plt.setp(axes[0], aspect=1.0, adjustable='box-forced')
>
> then the physical size of the top axes is much sorter than the physical size of the bottom axes (although they are poperly linked, as they have the same data limit, and when zooming in the top figure, the bottom figure adjusts). It just looks weird, as the size of the horizontal axis of the bottom figure should have the same physical size as the horizontal axis of the top figure. This used to be possible (a few years ago; haven't tried it for a while). Is there a way to do it with the current matpotlib? (1.4.3)
>
> Thanks,
>
> Mark
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