There is not a direct analogue to axhspan or axvspan, though it would probably be fairly straightfoward to wrap those two matplotlib commands (patches welcome!). Alternatively, you could construct the plot you want, then call the .matplotlib() method on the plot, and then add whatever you want to the resulting matplotlib figure. Then save the matplotlib figure using the normal matplotlib commands.
I'm not sure I understand exactly what you are doing. But, you can specify the tickmarks using ticks.
a=[1,2,3,0.3,0.4]
list_plot(a,ticks=[[0.5,0.7,1],[1,2,3]])
You can specify the min and max of the axis ranges with xmin, xmax, ymin,ymax.
a=[1,2,3,0.3,0.4]
list_plot(a,ticks=[[0.5,0.7,1],[1,2,3]],xmax=7)
Does this help?
Asked: 2012-08-03 08:11:06 +0200
Seen: 1,074 times
Last updated: Aug 04 '12
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.
Actually,Sage's plot module is a wrapper of matplotlib, so you can use Matplotlib directly
Yes, I know I can use Matplotlib directly, but using Sage's *list_plot()* function is very convenient, and I would like to mark some range along the horizontal axis on the plot generated by several consecutive *list_plot()* calls. Currently I just add a coloured polygon, but I have to adjust its edges to exactly fit the area I need. *axvspan()* is much easier to use in this sense.