Try
aa.set_autoscale_on(False)
before your "make_xaxis" call (but after xlim and ylim changed).
When you plot something, the xlim and ylim is automatically adjusted
(unless you set autoscale=False).
-JJ
On Wed, Mar 11, 2009 at 2:31 PM, Nicholas Stephens
<nicholas.steph...@univ-brest.fr> wrote:
> Hi all,
>
> I am again a little defeated so I hope somebody can point me in the
> right direction. I am trying to plot a graph but require some
> customation of the axes afterwards. As the axes are sacred in
> matplotlib I am trying to hide the existing axes and plot some new
> axes afterwards. The problem I have encountered is whilst plotting the
> new axes, the xlim functions apparently are no longer recognised.
>
> The new axes appears fine but on the non-limited axes. All of this
> appears to work until the "make_xaxis" command where the original
> non-limited x axis appears again. I have tried various methods, tricks
> and suggestions but cannot appear to get the script to work. Probably
> something simple I know, but I can't seem to get around this one :-s
>
>
> test script >
>
> from pylab import *
> import matplotlib.pyplot as plt
> import matplotlib.lines as lines
>
> #define new axis subroutines
> def make_xaxis(aa, yloc, offset, **props):
> xmin, xmax = aa.get_xlim()
> locs = [loc for loc in aa.xaxis.get_majorticklocs()
> if loc>=xmin and loc<=xmax]
> tickline, = aa.plot(locs, [yloc]*len(locs),linestyle='',
> marker=lines.TICKDOWN, **props)
> aaline, = aa.plot([xmin, xmax], [yloc, yloc], **props)
> tickline.set_clip_on(False)
> aaline.set_clip_on(False)
> # xaxis text
> for loc in locs:
> aa.text(loc, yloc-offset, '%1.0f'%loc,
> horizontalalignment='center',
> verticalalignment='top')
>
> def make_yaxis(aa, xloc, offset, **props):
> ymin, ymax = aa.get_ylim()
> locs = [loc for loc in aa.yaxis.get_majorticklocs()
> if loc>=ymin and loc<=ymax]
> tickline, = aa.plot([xloc]*len(locs), locs, linestyle='',
> marker=lines.TICKLEFT, **props)
> aaline, = aa.plot([xloc, xloc], [ymin, ymax], **props)
> tickline.set_clip_on(False)
> aaline.set_clip_on(False)
> # yaxis text
> for loc in locs:
> aa.text(xloc-offset, loc, '%1.2f'%loc,
> verticalalignment='center',
> horizontalalignment='right')
>
> #read data
> a=load('NC_figure4_alteredT.dat', skiprows=(1))
> ax=a[:,0]
> ay1=a[:,1]
> ay2=a[:,2]
>
> props = dict(color='black', linewidth=2, markeredgewidth=2)
> #new axis props
> fig = plt.figure(facecolor='white')
> aa = fig.add_subplot(111, frame_on=False)
> aa.scatter(ax, ay2, s=15, c='b', marker='^')
> aa.set_xlim(-2.5,58.5)
> aa.set_ylim(-0.01,0.25)
>
> #plot new axes
> make_xaxis(aa, -0.02, offset=0.01, **props)
> #offset text values from axes
> #select y axis intercept
> #make_yaxis(aa, -4, offset=3, **props) #offset text values from axes
>
> show()
>
>
>
> data>
> time (h) n:c (a) n:c (b)
> -2 0.12 0.21
> -2 0.12 0.15
> -2 0.1 0.14
> 0 0.12 0.14
> 0 0.11 0.13
> 0 0.11 0.21
> 2 0.11 0.15
> 2 0.11 0.13
> 2 0.11 0.14
> 4 0.11 0.14
> 4 0.1 0.14
> 4 0.09 0.12
> 6 0.09 0.14
> 6 0.1 0.12
> 6 0.1 0.1
> 8 0.11 0.13
> 8 0.08 0.13
> 8 0.1 0.11
> 10 0.1 0.12
> 10 0.08 0.11
> 10 0.11 0.1
> 12 0.07 0.1
> 12 0.09 0.1
> 12 0.08 0.1
> 14 0.1 0.1
> 14 0.16 0.1
> 14 0.1 0.1
> 16 0.1 0.1
> 16 0.17 0.1
> 16 0.07 0.1
> 18 0.1 0.09
> 18 0.09 0.11
> 18 0.09 0.11
> 20 0.09 0.12
> 20 0.09 0.1
> 20 0.07 0.11
> 22 0.12 0.11
> 22 0.09 0.12
> 22 0.09 0.13
> 24 0.09 0.13
> 24 0.11 0.13
> 24 0.11 0.13
> 26 0.09 0.12
> 26 0.09 0.13
> 26 0.11 0.14
> 28 0.09 0.13
> 28 0.1 0.14
> 28 0.09 0.13
> 30 0.09 0.12
> 30 0.1 0.13
> 30 0.1 0.12
> 32 0.09 0.12
> 32 0.08 0.12
> 32 0.09 0.12
> 34 0.08 0.12
> 34 0.08 0.12
> 34 0.11 0.11
> 36 0.09 0.11
> 36 0.07 0.11
> 36 0.09 0.1
> 38 0.1 0.11
> 38 0.08 0.11
> 38 0.09 0.1
> 40 0.09 0.11
> 40 0.09 0.11
> 40 0.09 0.11
> 42 0.09 0.11
> 42 0.11 0.12
> 42 0.08 0.11
> 44 0.12 0.12
> 44 0.12 0.16
> 44 0.11 0.12
> 46 0.11 0.12
> 46 0.12 0.11
> 46 0.1 0.12
> 48 0.1 0.12
> 48 0.14 0.13
> 48 0.1 0.14
> 56 0.1 0.12
> 56 0.11 0.12
> 56 0.11 0.12
> 58 0.12 0.11
> 58 0.12 0.11
> 58 0.12 0.1
>
>
>
>
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