Hi there, I know this has been discussed in the past, but I was looking through some of the history and I'm not sure what the exact situation is. I think multiple y axes on the same side of the graph is unsupported officially, but can be hacked together somehow, is that right? Is there an example of such a hacked together method somewhere that I could look at?
There may be a simpler way to do what I'm trying to do... I'm not trying to make several different axes, I'm trying to have a logarithmic axis on the left, but have three different scales (ie 1, 10, 100 on one, 10, 100, 1000 on another, 100, 1000, 10000 on the final one). Is there a way to manually label the ticks on the axis "1 10 1000" and so on? I think that might do in a pinch, then I could just divide the plotted values by the correct scaling factor. Do you guys think that would be the way to go? And if that is possible, is it possible to have the tick labels be different colours for the different numbers so it shows which scale is for which line on the graph? I guess I'm not hopeful for that... Instead could I put in a bit at the bottom of the graph to highlight which markers go to which axis? Something like this (for x, o and * data markers on the chart): | | | | | | | | |_* | |_o |_x Thanks a lot, sorry if this question is kind of hard to follow... Please let me know if more clarification is needed! Alex -- View this message in context: http://old.nabble.com/Multiple-Y-Axes-redux-tp27817369p27817369.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
