Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
tight_layout only works for instances of Subplots. However, ax2, which
is created by calling twinx, is an instance of Axes, and is not
accounted by the tight_layout command.It may be possible to improve
the situation, I doubt it would be easy as the association between ax1
and ax2 is not very explicit in the current implementation.
One workaround is to use axes_grid1 toolkit (this works with current
git master branch but not sure if it will work with v1.1).
Try to replace
ax1 = fig.add_subplot(1,1,1)
with
from mpl_toolkits.axes_grid1.parasite_axes import SubplotHost
ax1 = SubplotHost(fig, 1, 1, 1)
fig.add_subplot(ax1)
-JJ
On Thu, Dec 8, 2011 at 5:28 AM, Jérôme jer...@jolimont.fr wrote:
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
One could use add_axes and play with the coordinates until he gets something
nice, but it gets complicated to have it automatic as things depends on
- the number of digits of y-axis ticklabels
- whether or not a secundary y-axis is added on the right (using twinx)
Hi again, sorry for multi-posting.
Apparently, figure.tight_layout() does not take into account the secondary
y-axis on the right.
Is this a known limitation ? (I don't see it on the caveats paragraph [1].)
Or is this the use I make of it that is incorrect ?
Example :
--
import pylab
fig = pylab.figure()
data_1 = [0,1,2,3]
data_2 = [0,5,250,3]
lines = []
# Primary axis
ax1 = fig.add_subplot(1,1,1)
lines.extend (ax1.plot(data_1, 'b'))
# Secondary axis
ax2 = pylab.twinx(ax1)
lines.extend (ax2.plot(data_2, 'g'))
labels = ['Data 1', 'Data 2']
fig.tight_layout()
pylab.show()
--
Thanks.
[1] http://matplotlib.sourceforge.net/users/tight_layout_guide.html
--
Jérôme
--
Cloud Services Checklist: Pricing and Packaging Optimization
This white paper is intended to serve as a reference, checklist and point of
discussion for anyone considering optimizing the pricing and packaging model
of a cloud services business. Read Now!
http://www.accelacomm.com/jaw/sfnl/114/51491232/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
--
Virtualization Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Dynamic adjustment of axis position and size in figure
Hi all.
The position of an axes is fixed at creation, regardless of the what goes
outside the plot area. If the numbers on the y-axis are big enough (say, 7
digits) and a label is added, the label gets out of the figure.
Example :
--
import pylab
data = [0,1,2,300]
fig = pylab.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.plot(data)
ax1.set_ylabel('label_axis_y1')
pylab.show()
--
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
One could use add_axes and play with the coordinates until he gets something
nice, but it gets complicated to have it automatic as things depends on
- the number of digits of y-axis ticklabels
- whether or not a secundary y-axis is added on the right (using twinx)
Or did I miss something ?
Thanks.
--
Jérôme
--
Cloud Services Checklist: Pricing and Packaging Optimization
This white paper is intended to serve as a reference, checklist and point of
discussion for anyone considering optimizing the pricing and packaging model
of a cloud services business. Read Now!
http://www.accelacomm.com/jaw/sfnl/114/51491232/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
Hi again.
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
[...]
Or did I miss something ?
It seems I missed figure.tight_layout().
Sorry about that...
--
Jérôme
--
Cloud Services Checklist: Pricing and Packaging Optimization
This white paper is intended to serve as a reference, checklist and point of
discussion for anyone considering optimizing the pricing and packaging model
of a cloud services business. Read Now!
http://www.accelacomm.com/jaw/sfnl/114/51491232/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
One could use add_axes and play with the coordinates until he gets something
nice, but it gets complicated to have it automatic as things depends on
- the number of digits of y-axis ticklabels
- whether or not a secundary y-axis is added on the right (using twinx)
Hi again, sorry for multi-posting.
Apparently, figure.tight_layout() does not take into account the secondary
y-axis on the right.
Is this a known limitation ? (I don't see it on the caveats paragraph [1].)
Or is this the use I make of it that is incorrect ?
Example :
--
import pylab
fig = pylab.figure()
data_1 = [0,1,2,3]
data_2 = [0,5,250,3]
lines = []
# Primary axis
ax1 = fig.add_subplot(1,1,1)
lines.extend (ax1.plot(data_1, 'b'))
# Secondary axis
ax2 = pylab.twinx(ax1)
lines.extend (ax2.plot(data_2, 'g'))
labels = ['Data 1', 'Data 2']
fig.tight_layout()
pylab.show()
--
Thanks.
[1] http://matplotlib.sourceforge.net/users/tight_layout_guide.html
--
Jérôme
--
Cloud Services Checklist: Pricing and Packaging Optimization
This white paper is intended to serve as a reference, checklist and point of
discussion for anyone considering optimizing the pricing and packaging model
of a cloud services business. Read Now!
http://www.accelacomm.com/jaw/sfnl/114/51491232/
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
