From: Vidar G. <vid...@37...> - 2005-07-03 08:44:44
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===== Original message from John Hunter | Sat, 02 Jul 2005: > props = dict(color='black', linestyle='--', linewidth=1) > axvline(x=0, **props) > axhline(y=0, **props) this is nice, i like this. the only problem with this approach, compared to using actual gridlines, is that it sets axis ranges, so it might be a problem when data are not located around zero. i'm using this for plotting PCA Scores, calculated via the ChemoPy package. in many chemometrics applications the usual thing is to use the sample number, or variable names (for the loadings plot), as a plotting symbol. are there currently a routine for this in matplotlib? i think i can create such a plot using a for-loop and figtext, and still be able to color the dot and the text using a colormap? what approach do you recommend for scaling the marker size relative to axis ranges and figure size? > If for some reason you *really* want to use the actual gridlines > functionality w/o affecting the ticks, you could selectively toggle > the visible property of the gridlines you do not want to show. how can i do this? |