Ben,
I should have mentioned that I already tried that. When I set the rscale to
'log' the plot crashes when zooming or mpl cannot even create it.
Maybe some example code will help:
from numpy import arange, sin, pi, cos, ones
from matplotlib.backends.backend_tkagg import
Small update:
I tried the very same code with MPL 1.0.1 and Python 2.5.0 on Linux 64 and
Python 2.5.4 on Win32 and it runs w/o throwing any exceptions there!
But: the behaviour is still not that what I expected. Still these issues are
remaining:
- the smallest magnitude (center magnitude in
On Thu, Feb 17, 2011 at 4:12 AM, Stephan Markus zw...@web.de wrote:
Small update:
I tried the very same code with MPL 1.0.1 and Python 2.5.0 on Linux 64 and
Python 2.5.4 on Win32 and it runs w/o throwing any exceptions there!
But: the behaviour is still not that what I expected. Still
Dear basemap team!
(I hope this is the right list for posting basemap problems? I reported
the problem to the EPD list, but they don't have the capacity to test
it due to the lack of GDAL installations)
There's a fatal (as in crashing Python) library dependency in relation
with current gdal
I use Ipython and ubuntu. I had the default ubuntu package installed
with v99.1. I upgraded to the svn version and installed it because I
needed some new functionality with turning the right and top axis off
that I couldn't get to work in the default ubuntu version. I have no
problems running
Hi,
I am using Ubuntu 10.10, and installed matplotlib from the
repository. But when running an example file embedding plot in Qt4 I
got the following errors:
[11:34 PM] $ python embedding_in_qt4.py
Traceback (most recent call last):
File embedding_in_qt4.py, line 16, in module
from
Essentially, I am having the same problem but installed from SVN. How do
you install extra backends? I haven't seen where to do this. Although I
want the TKAgg but I have installed TK/TCL.
I am running 10.04 Ubuntu.
Cheers,
Jeff
On 02/18/2011 03:37 PM, Forest Yang wrote:
Hi,
I am using
Dear Folks,
I'm finding that hist has problems computing on 2d arrays.
import numpy
import pylab
mu, sigma = 2, 0.5
v = numpy.random.normal(mu,sigma,16)
pylab.hist(v, bins=1000, normed=1)
This works without any problems. But if you try this:
On 02/17/2011 06:41 PM, Jeffrey Spencer wrote:
Essentially, I am having the same problem but installed from SVN. How do
you install extra backends? I haven't seen where to do this. Although I
want the TKAgg but I have installed TK/TCL.
Do you have the python-tk package installed? If not, then