Re: [Matplotlib-users] where is twiny ??

2007-02-13 Thread John Hunter
On 2/13/07, Eric Emsellem [EMAIL PROTECTED] wrote:
 Hi,

 I would need the equivalent of twinx, but for other axis, so a twiny
 function. Shouldn't it be in mpl already?

 thanks for your help,


At the time noone wanted it, but it's easy enough to do.  I just added
the following to pylab svn:


def twiny(ax=None):

Make a second axes overlay ax (or the current axes if ax is None)
sharing the yaxis.  The ticks for ax2 will be placed on the top,
and the ax2 instance is returned.

if ax is None:
ax=gca()


ax2 = gcf().add_axes(ax.get_position(), sharey=ax, frameon=False)
ax2.xaxis.tick_top()
ax2.xaxis.set_label_position('top')
ax.xaxis.tick_bottom()
draw_if_interactive()
return ax2

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Re: [Matplotlib-users] where is twiny ??

2007-02-13 Thread John T Whelan
On Tue, 13 Feb 2007, Eric Emsellem wrote:

 I would need the equivalent of twinx, but for other axis, so a twiny
 function. Shouldn't it be in mpl already?

twiny() doesn't exist, but the source code of twinx() is in
lib/matplotlib/pylab.py and it's about eight lines long, so it's easy
enough to duplicate it, changing right to top, left to bottom, etc.
See for example

http://www.nabble.com/How-can-I-avoid-sharey-tick-ovelap--t2700831.html

The one catch with this, practically, is that the top x axis is
written in the same place as the plot title.  I have yet to play with
the placement of the title.

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Re: [Matplotlib-users] where is twiny ??

2007-02-13 Thread John Hunter
On 2/13/07, John T Whelan [EMAIL PROTECTED] wrote:

 The one catch with this, practically, is that the top x axis is
 written in the same place as the plot title.  I have yet to play with
 the placement of the title.

A combination of moving the stop of the subplot down with the
subplots_adjust function and  moving the title up by increasing the y
value (1 is the top of the axes) should do it

In [39]: fig = figure()
In [40]: subplots_adjust(top=0.8)
In [41]: ax1 = subplot(111)
In [42]: ax2 = twiny(ax1)
In [43]: ax1.plot(rand(100), rand(100), 'bo')
Out[43]: [matplotlib.lines.Line2D instance at 0x93e8e8c]
In [44]: ax2.plot(20*rand(100), rand(100), 'rs')
In [45]: ax1.set_title('this is a test', y=1.1)
Out[45]: matplotlib.text.Text instance at 0x8e1c0ec

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