We would like to add function plotting to mpl, but to do this right we need to be able to adaptively sample a function evaluated over an interval so that some tolerance condition is satisfied, perhaps with both a relative and absolute error tolerance condition. I am a bit out of my area of competency here, eg I do not know exactly how the tolerance condition should be specified, but I suspect some of you here may be experts on this. Does anyone have some code compatible with the BSD license, preferably based on numpy but we would consider an extension code or scipy solution, for doing this?
The functionality we have in mind is provided in matlab with fplot http://www.mathworks.com/access/helpdesk/help/techdoc/index.html?/access/helpdesk/help/techdoc/ref/fplot.html We would like 1D and 2D versions of this ideally. If anyone has some suggestions, let me know. Thanks, JDH _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
