#4529: Implement plots with logarithmic scale
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Reporter: ronanpaixao | Owner:
ronanpaixao
Type: enhancement | Status:
needs_work
Priority: major | Milestone:
sage-5.1
Component: graphics | Resolution:
Keywords: plot log scale | Work issues:
convenience functions
Report Upstream: N/A | Reviewers:
Karl-Dieter Crisman
Authors: Punarbasu Purkayastha, Karl-Dieter Crisman | Merged in:
Dependencies: #12974 | Stopgaps:
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Comment (by ppurka):
* trac_4529-add-log-scale.patch looks good.
* trac_4529-single-tick.patch also seems ok. I guess, we just have to
leave it up to the common sense of the user in certain cases.
* trac_4529-docs-and-funcs.patch - I see that you fixed some of the typos!
* trac_4529-more-doc.patch - yes, this is good.
----
* Adding another patch which fixes some more typos.
* `list_plot` does seem to behave a bit weird sometimes. But if we use
`plotjoined=True`, then it works fine. Thanks for figuring out where it
goes awry. I will have a look into it. Should the fix go into a separate
ticket?
* The plot commands in the documentation of `arc` and other functions
don't usually work with the check for ticks and with log scale. This is
even with `base=2`. For instance, the plot below. I guess we have to leave
this up to the user to give a proper input.
{{{
arc((2,3), 2, 1, angle=pi/5, sector=(0,pi/2)).show(scale='loglog', base=2)
arc((2,3), 2, 1, sector=(0,pi/2)).show(scale='loglog', base=2)
}}}
* For some commands like `disk` where an aspect ratio warning is given by
matplotlib, we can leave it up to the user I think. The fix is relatively
simple though; see the code for `parametric_plot` in the
[attachment:trac_4529-docs-and-funcs.patch]. If we fix `disk`, then we
need to weed out all the cases for the rest of the commands in
`sage.plot.*`.
* For adding plots - again we leave it up to the user. At present, adding
log + linear works and matplotlib handles it. So, we should leave it at
that. In my earlier code, I raised error because it was getting ambiguous
what scale to set the `Graphics._xscale`, etc attribute to in case the
user set the axis to log scale. It seems matplotlib prefers log over
linear and sets everything to log.
--
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/4529#comment:51>
Sage <http://www.sagemath.org>
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