Once you have an axes object, you can call set_xlim() and set_ylim() on it to change the limits of the x- and y- axes respectively. You should be able to call that and savefig() iteratively to produce plots of different subsets of the same data.
Let me know if you need more details, Mike On 02/05/2010 01:08 AM, David Carmean wrote: > Hi, > > I just emigrated from Ploticus last week :) Am working on a project where > I'm plotting the contents of a large .csv file with about 250,000 cells > (unix system 5-minute load averages from a set of 50 servers, for about > three weeks data now). > > I'm developing this in Spyder/Python(x,y)--completely unknown to me until > last week--and the pan/zoom capability makes me wish/wonder two things: > > 1: I wish I could interactively save the zoomed view to disk, and > > 2: This behavior hints at the possiblity of a better way to go back > and plot 15 1-day views of the original plot, than slicing up the > source array and re-plotting. > > > I'm .. so new to matplotlib/numpy that I'm sure I'm missing some > key concepts/terminology that, once identified, will let me find my > way to what I need to know. For example, I'm terribly confused right > now by Axes.get_axes(). > > Which classes/methods/examples/gallery examples should I look at? > > Thanks. > > > > ------------------------------------------------------------------------------ > The Planet: dedicated and managed hosting, cloud storage, colocation > Stay online with enterprise data centers and the best network in the business > Choose flexible plans and management services without long-term contracts > Personal 24x7 support from experience hosting pros just a phone call away. > http://p.sf.net/sfu/theplanet-com > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ The Planet: dedicated and managed hosting, cloud storage, colocation Stay online with enterprise data centers and the best network in the business Choose flexible plans and management services without long-term contracts Personal 24x7 support from experience hosting pros just a phone call away. http://p.sf.net/sfu/theplanet-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
