Can I change placement of X-Axis?

_Sam_Volchenboum · February 2, 2008, 7:32pm

I saw one post related to arbitrary axis positioning from 2005, but there was
no solution.

I'd like to generate a plot similar to this:

http://www.nabble.com/file/p15246318/250027952-L.png

Is there a way to move the X-axis to Y=0 - and remove the bounding box?

Thanks.

···

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Eric_Firing1 · February 2, 2008, 9:06pm

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.

Eric

···

I'd like to generate a plot similar to this:

http://www.nabble.com/file/p15246318/250027952-L.png

Is there a way to move the X-axis to Y=0 - and remove the bounding box?

Thanks.

_John_Hunter1 · February 2, 2008, 9:27pm

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()

test.py (1.65 KB)

···

On Feb 2, 2008 3:06 PM, Eric Firing <efiring@...202...> 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.

_Sam_Volchenboum · February 2, 2008, 9:42pm

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 <efiring@...202...> 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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