Hi,
the code given works for me in principle. If I run ipython without the
-pylab flag and do an
import * from pylab
at the start instead, I can run this code and it runs fine. (If not,
the plot() will imply the show and everything after that doesn't matter
any more.)
However, I'm now running into a new problem. I'm doing lots of separate
plots like that (hence the need for a fixed scale). To that end I run
the code in a loop which looks like
for t in range(maxt):
fig = p.figure(1)
fig.clf()
ax = fig.add_subplot(111)
p.plot(pvar[t,ipos,:])
p.plot(pvar[t,:,ipos])
ax = gca()
ax.set_ylim(-10,10) #
filename = "%s-sliced%04d%s.png" % (var,t,dim)
ptime = "%0.3f" % (timevar[t]/3600)
p.title(var + ' at t=' + ptime + 'h')
p.savefig(filename)
p.clf()
Now, this will result in the error
File "./swimplot-slice.py", line 63, in <module>
ax.set_ylim(-10,10)
File "/usr/lib/python2.5/site-packages/matplotlib/axes.py", line 2044, in set_ylim
ymin = self.convert_yunits(ymin)
File "/usr/lib/python2.5/site-packages/matplotlib/artist.py", line 111, in convert_yunits
return ax.yaxis.convert_units(y)
File "/usr/lib/python2.5/site-packages/matplotlib/axis.py", line 979, in convert_units
self.converter = munits.registry.get_converter(x)
File "//usr/lib/python2.5/site-packages/matplotlib/units.py", line 137, in get_converter
converter = self.get_converter( thisx )
File "//usr/lib/python2.5/site-packages/matplotlib/units.py", line
137, in get_converter
With the last line being repeated for every iteration (so I assume). Then after
plenty of error messages like the last one above, I get
File "//usr/lib/python2.5/site-packages/matplotlib/units.py", line 130, in get_converter
if converter is None and iterable(x):
RuntimeError: maximum recursion depth exceeded
Where does this recursion come from? Do I have to clear something in each iteration
to avoid that? If so, how do I do that?
Cheers,
Christian
···
On Tue, 30 Dec 2008 07:31:57 -0800 (PST) B Clowers <clowersb@...9...> wrote:
Christian,
The answer to your second question is a little more involved and I
think there are a few posts regarding custom colormaps on the mailing
list that may be of interest...I'd try searching through those. I
may not be the best person to answer that question.
Also you may be interested in exploring the *kwargs vmin and vmax of
the imshow command. They may do what you need as well:
http://matplotlib.sourceforge.net/api/axes_api.html?highlight=imshow#matplotlib.axes.Axes.imshow
As for your first question try the following in ipython with the
-pylab flag:
import numpy as N
a = N.random.rand(50)
a*=100
plot(a)
ax = gca()
ax.set_xlim(0,25) # The set_xlim and set_ylim may be what you're
looking for... ax.set_ylim(0,50)
show()
--- On Mon, 12/29/08, Christian Lerrahn <lists@...1766...> wrote:
From: Christian Lerrahn <lists@...1766...>
Subject: [Matplotlib-users] Manually limiting value ranges
To: matplotlib-users@lists.sourceforge.net
Date: Monday, December 29, 2008, 11:19 PM
Hi,
I've been trying to do this for a while but just can't get it to
work. 
There are 2 things I want to do.
1. I want to limit the value range in a line plot from
matplotlib.pyplot.plot(). I thought that clip_box would do exactly
that but setting something like [[-1,1],[-5,5]] or the like doesn't
seem to have any effect.
2. In a 2D map plot from matplotlib.pyplot.imshow(), I would like to
set the limits for the colour bar manually. I.e. I want the colours to
be equally distributed over a fixed range.
In both cases, the background to my attempt of using fixed values is
that I'm producing a time series of plots via script and want all the
plots to be directly comparable.
Did I overlook this in the examples (or the documentation) or is there
really no simple way of doing this?
Cheers,
Christian
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