rotated axes within figure.

Community matplotlib-users
1

Hello,

(sorry if you get this message twice. I originally posted to the old
sourceforge list)

How can I add an axes to a figure, but specify the transform from axes
coordinates to figure coordinates? I want a set of axes (ticks, spines,
data, everything) that are rotated?

Figure.add_axes [1] accepts a box left-bottom-width-height axis aligned box
specification. I can't follow in the code where a transform is made out of
that, but I basically want a generic transform. Do tick labels, ticks,
titles, etc. assume that the axes-to-figure transform is purely a
translation?

[1]
https://github.com/matplotlib/matplotlib/blob/e12d103a11cd08adbed348547bdb8182e414e0bb/lib/matplotlib/figure.py#L840

Thanks,
Gustavo
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2

Alright, this was my shot at it:

It seems like the assumption of an axis-aligned axes is baked in pretty
strongly, and maybe that's for the best...

I couldn't figure out how tick lines work and why they weren't rotated. The
Line2D object has the correct transform. They are lines whose xy_data
contain only one coordinate, though something must specify the other end of
the tick line (what gives it its length otherwise?) and that is assuming
that the axes is axis-aligned.

In [4]: [l.get_xydata() for l in ax.xaxis.get_ticklines()]
Out[4]:
[array([[ 0., 0.]]),
array([[ 0., 1.]]),
array([[ 2., 0.]]),
array([[ 2., 1.]]),
array([[ 4., 0.]]),
array([[ 4., 1.]]),
array([[ 6., 0.]]),
array([[ 6., 1.]]),
array([[ 8., 0.]]),
array([[ 8., 1.]]),
array([[ 10., 0.]]),
array([[ 10., 1.]]),
array([[ 12., 0.]]),
array([[ 12., 1.]])]

···

On Fri, Feb 26, 2016 at 3:12 PM, Gustavo Goretkin < gustavo.goretkin at gmail.com> wrote:

Hello,

(sorry if you get this message twice. I originally posted to the old
sourceforge list)

How can I add an axes to a figure, but specify the transform from axes
coordinates to figure coordinates? I want a set of axes (ticks, spines,
data, everything) that are rotated?

Figure.add_axes [1] accepts a box left-bottom-width-height axis aligned
box specification. I can't follow in the code where a transform is made out
of that, but I basically want a generic transform. Do tick labels, ticks,
titles, etc. assume that the axes-to-figure transform is purely a
translation?

[1]
https://github.com/matplotlib/matplotlib/blob/e12d103a11cd08adbed348547bdb8182e414e0bb/lib/matplotlib/figure.py#L840

Thanks,
Gustavo

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3

For what it's worth, if you don't mind having fixed extents, you can use
axisartist for this.

There's an example of it in the axisartist examples and a simplified
version here: python - How to rotate a simple matplotlib Axes - Stack Overflow

Hope that helps!
-Joe

···

On Feb 29, 2016 2:42 AM, "Gustavo Goretkin" <gustavo.goretkin at gmail.com> wrote:

Alright, this was my shot at it:
mpl_rotated_ax.py · GitHub

It seems like the assumption of an axis-aligned axes is baked in pretty
strongly, and maybe that's for the best...

I couldn't figure out how tick lines work and why they weren't rotated.
The Line2D object has the correct transform. They are lines whose xy_data
contain only one coordinate, though something must specify the other end of
the tick line (what gives it its length otherwise?) and that is assuming
that the axes is axis-aligned.

In [4]: [l.get_xydata() for l in ax.xaxis.get_ticklines()]
Out[4]:
[array([[ 0., 0.]]),
array([[ 0., 1.]]),
array([[ 2., 0.]]),
array([[ 2., 1.]]),
array([[ 4., 0.]]),
array([[ 4., 1.]]),
array([[ 6., 0.]]),
array([[ 6., 1.]]),
array([[ 8., 0.]]),
array([[ 8., 1.]]),
array([[ 10., 0.]]),
array([[ 10., 1.]]),
array([[ 12., 0.]]),
array([[ 12., 1.]])]

On Fri, Feb 26, 2016 at 3:12 PM, Gustavo Goretkin < > gustavo.goretkin at gmail.com> wrote:

Hello,

(sorry if you get this message twice. I originally posted to the old
sourceforge list)

How can I add an axes to a figure, but specify the transform from axes
coordinates to figure coordinates? I want a set of axes (ticks, spines,
data, everything) that are rotated?

Figure.add_axes [1] accepts a box left-bottom-width-height axis aligned
box specification. I can't follow in the code where a transform is made out
of that, but I basically want a generic transform. Do tick labels, ticks,
titles, etc. assume that the axes-to-figure transform is purely a
translation?

[1]
https://github.com/matplotlib/matplotlib/blob/e12d103a11cd08adbed348547bdb8182e414e0bb/lib/matplotlib/figure.py#L840

Thanks,
Gustavo

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