Neurino
I'm sure :
1° there must be a parameter in the default behaviour of the subplot to control
taht
2° you can always set xlim( min(X)/2, max(X)/2 ) ...
Thomas
**********************
Thomas Lecocq
Geologist
Ph.D.Student (Seismology)
Royal Observatory of Belgium
**********************
Date: Wed, 9 Feb 2011 13:47:01 +0100
Subject: Re: [Matplotlib-users] Best way to set scales bounds to appropriate
values
From: neur...@gmail.com
To: thlec...@msn.com
CC: matplotlib-users@lists.sourceforge.net
Well, not that automatic...
I wonder why matplotlib takes care of settings limits on data but fails in a
common situation so I'm forced to override it every time because I don't know
in advance what data I get...
Thanks anyway.
Cheers
neurino
2011/2/9 Thomas Lecocq <thlec...@msn.com>
This will do :
pyplot.xlim(-5,15)
pyplot.ylim(-5,5)
HTH.
Thomas
**********************
Thomas Lecocq
Geologist
Ph.D.Student (Seismology)
Royal Observatory of Belgium
**********************
Date: Wed, 9 Feb 2011 11:53:17 +0100
From: neur...@gmail.com
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Best way to set scales bounds to appropriate values
Hi, I'm a matplotlib newbie.
An example is worth a thousand words:
In [1]: matplotlib.__version__
Out[1]: '0.99.3'
In [2]: a, b, x = np.zeros(10), np.ones(10), np.arange(10)
In [3]: plot(x, a); plot(x, b)
Well all I see is an empty plot with the two horizontal lines at y=0 and y=1
covered by the upper and lower frame lines.
Why aren't bounds set a little more larger so the two lines can show properly???
I guess this is a common situation, for example 2 or more stable temperatures:
the higher and the lower never show...
How can I fix it?
Thanks for your support.
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The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
Pinpoint memory and threading errors before they happen.
Find and fix more than 250 security defects in the development cycle.
Locate bottlenecks in serial and parallel code that limit performance.
http://p.sf.net/sfu/intel-dev2devfeb
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