#4529: Implement plots with logarithmic scale
-----------------------------------------+----------------------------------
       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  |     Merged in:                       
   Dependencies:  #12974                 |      Stopgaps:                       
-----------------------------------------+----------------------------------

Old description:

> Attached is a patch which introduces log scale to `Graphics()` class.
>
> Depends on #12974.
>
> Apply [attachment:trac_4529-add_logscale_to_Graphics.2.patch] and a patch
> to be determined.
>
> OR
>
> Apply the following patches in the specified order. `SAGE_ROOT` is the
> directory where the sage installation is present.
> {{{
> cd SAGE_ROOT/devel/sage
> ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
> attachment/ticket/12974/trac_12974-fix_graphics_attributes.patch
> ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
> attachment/ticket/12974/trac_12974-refactor.patch
> ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
> attachment/ticket/12974/trac_12974-reorder_some_arguments.patch
> ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
> attachment/ticket/12974/trac_12974-whitespace_cleanup.patch
> ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
> attachment/ticket/4529/trac_4529-add_logscale_to_Graphics.2.patch
> ../../sage -b
> }}}
>
> ----
> '''OLD DISCUSSION BELOW :)'''
>
> Currently plot() has no option to use logarithmic scales.
>
> One workaround is to use matplotlib directly, with its semilogy(),
> semilogx() and loglog() functions, but that wouldn't produce plots with
> the customisations implemented in sage.
> Another workaround is messing with the plot figure like:
>
> {{{
> #!python
> import pylab
> p=plot(x,marker='.')
> f=pylab.figure()
> f.gca().set_xscale('log')
> p.save(figure=f)
> }}}
>
> But that creates two problems:
>
>  * The first problem is that the adaptive choosing of points just
> considers linear scale, so the points get too much spaced apart in the
> beginning of the plot and too close in the end.
>  * The second problem relates to the axis, which, for the same reason,
> isn't located right.
>
> Also, this requires the user to know how to deal with figures, which is
> not directly exposed by sage.
>
> There are some possibilities to fix that:
>  1. Make plot() detect if the figure changes the scales and modify the
> adaptive algorithm and the axis codes accordingly
>  2. Create a kwarg to tell plot() to implement the scale-change
> internally
>  3. Create other functions to use loglog(), semilogx() and semilogy()
>  4. Many (or all) of the above together, since they aren't mutually
> exclusive
>
> From what I noticed, Mathematica implements the separate functions way,
> but it may be better to fix the issue in plot() itself and if the other
> functions are wanted, just make it so that they call plot() with the
> correct arguments

New description:

 Attached is a patch which introduces log scale to `Graphics()` class.

 Depends on #12974.

 Apply [attachment:trac_4529-add_logscale_to_Graphics.2.patch] and a patch
 to be determined.

 OR

 Apply the following patches in the specified order. `SAGE_ROOT` is the
 directory where the sage installation is present.
 {{{
 cd SAGE_ROOT/devel/sage
 ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
 attachment/ticket/12974/trac_12974-fix_graphics_attributes.patch
 ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
 attachment/ticket/12974/trac_12974-refactor.patch
 ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
 attachment/ticket/12974/trac_12974-reorder_some_arguments.patch
 ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
 attachment/ticket/12974/trac_12974-whitespace_cleanup.patch
 ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
 attachment/ticket/4529/trac_4529-add_logscale_to_Graphics.2.patch
 ../../sage -b
 }}}

 Optionally, also apply patch which checks that there are enough ticks when
 using log scale, but which makes us lose some functionality.
 {{{
 ../../sage -hg qimport -P http://trac.sagemath.org/sage_trac/raw-
 attachment/ticket/4529/trac_4529-check_for_single_tick.patch
 ../../sage -b
 }}}

 ----
 '''OLD DISCUSSION BELOW :)'''

 Currently plot() has no option to use logarithmic scales.

 One workaround is to use matplotlib directly, with its semilogy(),
 semilogx() and loglog() functions, but that wouldn't produce plots with
 the customisations implemented in sage.
 Another workaround is messing with the plot figure like:

 {{{
 #!python
 import pylab
 p=plot(x,marker='.')
 f=pylab.figure()
 f.gca().set_xscale('log')
 p.save(figure=f)
 }}}

 But that creates two problems:

  * The first problem is that the adaptive choosing of points just
 considers linear scale, so the points get too much spaced apart in the
 beginning of the plot and too close in the end.
  * The second problem relates to the axis, which, for the same reason,
 isn't located right.

 Also, this requires the user to know how to deal with figures, which is
 not directly exposed by sage.

 There are some possibilities to fix that:
  1. Make plot() detect if the figure changes the scales and modify the
 adaptive algorithm and the axis codes accordingly
  2. Create a kwarg to tell plot() to implement the scale-change internally
  3. Create other functions to use loglog(), semilogx() and semilogy()
  4. Many (or all) of the above together, since they aren't mutually
 exclusive

 From what I noticed, Mathematica implements the separate functions way,
 but it may be better to fix the issue in plot() itself and if the other
 functions are wanted, just make it so that they call plot() with the
 correct arguments

--

Comment (by ppurka):

 The following are the changes in the latest patches:
 1. labeling of minor ticks was flaky; it is fixed now.
 2. added several examples to `show()`
 3. fixed a problem in axes position of the matplotlib() function when
 custom xmax, xmin, etc were passed. Try this plot (without these patches)
 and then try with these patches :)
 {{{
 plot(x).show(xmin=1, xmax=-1)
 }}}
 4. there is an [attachment:trac_4529-check_for_single_tick.patch optional
 patch] where we check for a single tick. this is tricky and I don't know a
 good and complete solution. Moreover, it makes most of the functions like
 'arc, disk, etc' stop "just working" with log scale. It will be good if
 you have a better idea how to check for ticks which don't affect these
 functions too. We can't use xmin, xmax, etc to determine ticks because
 some of them might well be negative and matplotlib will neglect these
 values.

-- 
Ticket URL: <http://trac.sagemath.org/sage_trac/ticket/4529#comment:44>
Sage <http://www.sagemath.org>
Sage: Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, 
and MATLAB

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