On 03/10/2011 01:13 AM, Daniel Mader wrote:
> Maybe I should mention that there are actually two reasons why I don't
> like this behavior:
>
> 1) it's sometimes very hard to read what's going on,
> 2) there also seems to be a bug when the limits are changed later, see
> attached results: the upper subplot is default, the lower subplot uses
> the padding.
>
> ##--------------------------
> def update_ax2(ax1):
>    '''
>    Automatically update ylim of ax2 when ylim of ax1 changes.
>    '''
>    y1, y2 = ax1.get_ylim()
>    ## modify the limits
>    ax2.set_ylim((Tc(y1), Tc(y2)))
>    ax2.figure.canvas.draw()
>
>   Both plots are actually identical but use a different x-axis. In
> ordert to create a nicely padded plot, I use the following function,
> which breaks the scaling information AND the calculation of the second
> axis limits:
>
> ##--------------------------
> def axispaddingAX(ax):
>    '''
>    Saubere bzw. schoene Achsenskalierung für MPL-Skripten.
>    '''
>    lines = ax.get_lines()
>    xtemp = []
>    ytemp = []
>    for line in lines:
>      xtemp.append(min(line.get_xdata()))
>      xtemp.append(max(line.get_xdata()))
>      ytemp.append(min(line.get_ydata()))
>      ytemp.append(max(line.get_ydata()))
>    xmin,xmax = min(xtemp),max(xtemp)
>    ymin,ymax = min(ytemp),max(ytemp)
>    span = 0.05
>    rangex = (xmin-span*(xmax-xmin), xmax+span*(xmax-xmin))
>    rangey = (ymin-span*(ymax-ymin), ymax+span*(ymax-ymin))
>    ax.set_xlim(rangex)
>    ax.set_ylim(rangey)

I don't know if it would help overall, but in place of your padding 
function, have you considered the pylab or pyplot margins() function?

Eric

>
>
> Thanks a lot in advance for any hint or comment on this,
> Daniel
>
> 2011/3/10 Daniel Mader<danielstefanma...@googlemail.com>:
>> Hi,
>>
>> is it possible to change the default y-axis scaling so that the
>> ticks/label are not with respect to the large offset?
>>
>> For example:
>>
>> import scipy
>> import pylab
>>
>> x = scipy.arange(100)
>> y = scipy.rand(100) + 1000006
>>
>> pylab.figure()
>> pylab.plot(x,y)
>> pylab.grid()
>>
>> pylab.show()
>>
>> This gives the y-limits as (0,1) with respect to 1000006. This makes
>> it very hard to read. I'd like to be able to configure this manually.
>>
>> Thanks in advance,
>> Daniel
>>
>>
>>
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