Perfect. Thank you.
I saw a reference to this hack in the 2005 post, but the linked forum post
was inaccessible to me (as a non-developer).
Thanks again.
John Hunter-4 wrote:
>
> On Feb 2, 2008 3:06 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
>> volcs0 wrote:
>> > I saw one post related to arbitrary axis positioning from 2005, but
>> there was
>> > no solution.
>>
>> It is still on the wish list.
>
> Though with a little hacking, you can emulate it by manually drawing
> everything yourself -- this is the approach SAGE takes. Eg,
>
> import numpy as np
> from pylab import figure, show
> import matplotlib.lines as lines
>
> def make_xaxis(ax, yloc, offset=0.05, **props):
> xmin, xmax = ax.get_xlim()
> locs = [loc for loc in ax.xaxis.get_majorticklocs()
> if loc>=xmin and loc<=xmax]
> tickline, = ax.plot(locs, [yloc]*len(locs),linestyle='',
> marker=lines.TICKDOWN, **props)
> axline, = ax.plot([xmin, xmax], [yloc, yloc], **props)
> tickline.set_clip_on(False)
> axline.set_clip_on(False)
> for loc in locs:
> ax.text(loc, yloc-offset, '%1.1f'%loc,
> horizontalalignment='center',
> verticalalignment='top')
>
> def make_yaxis(ax, xloc=0, offset=0.05, **props):
> ymin, ymax = ax.get_ylim()
> locs = [loc for loc in ax.yaxis.get_majorticklocs()
> if loc>=ymin and loc<=ymax]
> tickline, = ax.plot([xloc]*len(locs), locs, linestyle='',
> marker=lines.TICKLEFT, **props)
> axline, = ax.plot([xloc, xloc], [ymin, ymax], **props)
> tickline.set_clip_on(False)
> axline.set_clip_on(False)
>
> for loc in locs:
> ax.text(xloc-offset, loc, '%1.1f'%loc,
> verticalalignment='center',
> horizontalalignment='right')
>
>
> props = dict(color='black', linewidth=2, markeredgewidth=2)
> x = np.arange(200.)
> y = np.sin(2*np.pi*x/200.) + np.random.rand(200)-0.5
> fig = figure(facecolor='white')
> ax = fig.add_subplot(111, frame_on=False)
> ax.axison = False
> ax.plot(x, y, 'd', markersize=8, markerfacecolor='blue')
> ax.set_xlim(0, 200)
> ax.set_ylim(-1.5, 1.5)
> make_xaxis(ax, 0, offset=0.1, **props)
> make_yaxis(ax, 0, offset=5, **props)
> fig.savefig('manual_axis.png', dpi=100, facecolor='white',
> edgecolor='white')
> show()
>
>
>
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