[sage-support] Re: more control over plots

2008-09-25 Thread pong
To add to Stan's reply, you can add pylab.grid(True, linestyle='-', linewidth=.5, alpha=.3) in order to have a light grey grid display at the background. On Sep 25, 7:49 am, Jason Grout <[EMAIL PROTECTED]> wrote: > Maike wrote: > > Hi Jason, > > > Thanks for the help! Which parameter is it that

[sage-support] Re: more control over plots

2008-09-25 Thread Jason Grout
Maike wrote: > Hi Jason, > > Thanks for the help! Which parameter is it that tells the axis to be > on the left? My example is: > > rsa = line([(2000,952),(2005,1149),(2010,1369),(2015,1613),(2020,1881), > (2025,2174),(2030,2493),(2035,2840),(2040,3214)],rgbcolor="green") > ecc = line([(2000,132

[sage-support] Re: more control over plots

2008-09-25 Thread Maike
Hi Jason, Thanks for the help! Which parameter is it that tells the axis to be on the left? My example is: rsa = line([(2000,952),(2005,1149),(2010,1369),(2015,1613),(2020,1881), (2025,2174),(2030,2493),(2035,2840),(2040,3214)],rgbcolor="green") ecc = line([(2000,132),(2005,139),(2010,146),(2015

[sage-support] Re: more control over plots

2008-09-25 Thread Jason Grout
Jason Grout wrote: > Maike wrote: >> Hello, >> >> I've tried looking at all the plot options in the documentation, but I >> can't find how to do the following. Maybe someone can help... >> >> * control over the scaling of the y-axis. I can choose xmin and xmax, >> but the range of the y-axis is al

[sage-support] Re: more control over plots

2008-09-25 Thread Jason Grout
Maike wrote: > Hello, > > I've tried looking at all the plot options in the documentation, but I > can't find how to do the following. Maybe someone can help... > > * control over the scaling of the y-axis. I can choose xmin and xmax, > but the range of the y-axis is always chosen automatically.

[sage-support] Re: more control over plots

2008-09-25 Thread Stan Schymanski
Hi Maike, I found that the use of pylab allows a lot more control over your plots. Example: import pylab x1 = srange(0,1.1,0.01) d1 = [2*x+x^2 for x in x1] d2 = [3*x+0.9*x^2 for x in x1] title='Test plot' pylab.clf() # clear the figure first pylab.figure(1) # plot some data and add a legend pyla