1 | initial version |

I'm not quite sure I understand. For (1), do you want the x=0 and y=0 lines turned off? Then axes=False should do it. And rightarrow seems to work for me:

```
p = list_plot([(r,Pabrf(Ratio=r).n()) for r in srange(-1, 1, 0.1, include_endpoint=True)], plotjoined=True, frame=true)
p.show(ymin=0, axes_labels=('$\\Omega_0/\\omega_{\\mathrm{nut}}$', "$P_{a \\rightarrow b}$"), axes=False)
```

gives

Is something like this what you're after or do we need to try harder? I may have copied the function itself wrong, so you don't need to worry about the blue line. :^)

I also second the recommendation that working with matplotlib/pylab directly is probably easier when you want to do a lot of configuring. (To tell the truth, I'm having trouble getting Sage to save plots the way they look on my screen.)

2 | No.2 Revision |

I'm not quite sure I understand. For (1), do you want the x=0 and y=0 lines turned off? Then axes=False should do it. And for (2), rightarrow seems to work for me:

```
p = list_plot([(r,Pabrf(Ratio=r).n()) for r in srange(-1, 1, 0.1, include_endpoint=True)], plotjoined=True, frame=true)
p.show(ymin=0, axes_labels=('$\\Omega_0/\\omega_{\\mathrm{nut}}$', "$P_{a \\rightarrow b}$"), axes=False)
```

gives

Is something like this what you're after or do we need to try harder? I may have copied the function itself wrong, so you don't need to worry about the blue line. :^)

I also second the recommendation that working with matplotlib/pylab directly is probably easier when you want to do a lot of configuring. (To tell the truth, I'm having trouble getting Sage to save plots the way they look on my screen.)

Copyright Sage, 2010. Some rights reserved under creative commons license. Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.