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 <tcasw...@gmail.com> 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 <mark...@gmail.com
> <mailto:mark...@gmail.com>> 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 <tcasw...@gmail.com
> <mailto:tcasw...@gmail.com>> 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 <mark...@gmail.com
> <mailto:mark...@gmail.com>> 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 <tcasw...@gmail.com
> <mailto:tcasw...@gmail.com>> 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 <mark...@gmail.com
> <mailto:mark...@gmail.com>> 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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