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> 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> 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> 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>
>>> 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> 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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>
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