John Hunter wrote: >>>>>> "Eric" == Eric Firing <[EMAIL PROTECTED]> writes: > Eric> either, indistinguishably from the way it does now. The > Eric> problem is that with a linear axis we want the axis to start > Eric> at zero by default, but with a log axis we want it to start > > With ymin at 1e-100, the default (linear) locator should choose 0 as > ymin. If it doesn't it looks like a bug. Is either the log or linear > autoscaler broken for bottom=something-really-small ? > > JDH
The problem is not the linear case but the log, and it is not a problem with the locators or with the autoscaling methods. Rather, for the log scale we want the autoscaling to ignore the bottom of the patches at 1e-100 and instead pick a lower value for plotting based on the tops of the patches (or the bottom of the errorbars, if present). This is what I have it doing now via the somewhat clumsy method of adjusting the dataLim after the patches have been added. To make the transition to a log scale work correctly after bar has been called with a linear scale, some such adjustment would have to be made. This is the sort of thing that could be done by registering a callback, but we don't have the machinery in place. Maybe this is a place where traits would help? I've never used them, but I seem to recall seeing that they include callback functionality. Eric ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys - and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
