matplotlib-users

[Matplotlib-users] Equivalent to GnuPlot's nomirror?

[Robert L. <ro...@le...>]

Does Matplotlib support something equivalent to GnuPlot's nomirror functionality 
where the x and y axes are only displayed on the bottom and left of the graph 
and are not 'mirrored' to the top and right?

Robert

Re: [Matplotlib-users] Equivalent to GnuPlot's nomirror?

[Andrew S. <str...@as...>]

Robert Leftwich wrote:

> Does Matplotlib support something equivalent to GnuPlot's nomirror 
> functionality where the x and y axes are only displayed on the bottom 
> and left of the graph and are not 'mirrored' to the top and right?
>
> Robert


I'm no GnuPlot user, but try this:

ax = gca()
ax.yaxis.tick_left()
ax.xaxis.tick_bottom()

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Re: [Matplotlib-users] Equivalent to GnuPlot's nomirror?

[John H. <jdh...@ac...>]

>>>>> "Andrew" == Andrew Straw <str...@as...> writes:
    Andrew> I'm no GnuPlot user, but try this:

    Andrew> ax = gca() ax.yaxis.tick_left() ax.xaxis.tick_bottom()

 Yep, that is better than my suggestion.  Thanks.  It would be nice to
 draw the edges with lines rather than a rectangle so we can turn them
 on and off selectively as well (an detach them...)

JDH

Re: [Matplotlib-users] Equivalent to GnuPlot's nomirror?

[John H. <jdh...@ac...>]

>>>>> "Robert" == Robert Leftwich <ro...@le...> writes:

    Robert> Does Matplotlib support something equivalent to GnuPlot's
    Robert> nomirror functionality where the x and y axes are only
    Robert> displayed on the bottom and left of the graph and are not
    Robert> 'mirrored' to the top and right?

Not yet, but it's on the goals page at
http://matplotlib.sf.net/goals.html under the "Axis autoranging and
tick customization" section

When "Detachable axis from main axes box and customizable tickline
locations" are implemented, your request will be as well.  The problem
is that the edge of the axes is currently drawn as the edge of a
rectangle, not four separate lines.  You can, however, turn off the
ticks on the right and top sides

for tick in ax.xaxis.get_major_ticks():
    tick.tick2On = False

See http://matplotlib.sf.net/matplotlib.axis.html for more information
on customizing the axis.

Have fun!
JDH