Hi all! I've tried to plot some (sea ice thickness, snow freeboard etc.)
netcdf-data on Antarctic waters but there seems to be something funny here
since the plot is kind of cut in half or something.
from Scientific.IO.NetCDF import NetCDFFile # Also numpy as np, Basemap etc,
matplotlib as plt.
Hi Bill,
I've created a class for using the IBCAO with Basemap in the _Arctic_
that might be useful for you, it is located here:
http://scipy-central.org/item/75/0/ibcao-international-bathymetric-chart-of-the-arctic-ocean-class-for-python-and-scipy
( https://github.com/gauteh/ibcao_py )
Here is a more detailed crash report in addition to the one from the
command line:
Application Specific Information:
Assertion failed: (0), function query, file AbstractSTRtree.cpp, line 285.
Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 libsystem_kernel.dylib
Does anyone know, how they were able to add the legend titles damped
and oscillatory to this plot:
http://matplotlib.org/examples/pylab_examples/legend_demo.html
Can anyone point me to a good tutorial on matplotlib legends? This one
is somewhat limited:
How does one avoid duplicate legends?
www.tommycarstensen.com/python2_matplotlib_basemap_merc_bluemarble_hresolution.jpg
Can I make the legend size smaller than the marker size?
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Indeed, the legends showing in that figure should be 'Model length', 'Data
length' and 'Total message length', which were the labels given to each
plot command.
Maybe there was a mismatch between code and plot there.
2014-10-20 11:59 GMT-02:00 Tommy Carstensen tommy.carsten...@gmail.com:
Does
Le lundi 20 octobre 2014 à 06:59 -0700, Tommy Carstensen a écrit :
Does anyone know, how they were able to add the legend titles damped
and oscillatory to this plot:
http://matplotlib.org/examples/pylab_examples/legend_demo.html
Hi,
it seems to me that you are looking to some deprecated
For your first question: Use the legend numpoints keyword. I think
if you set it to 1, it should solve that problem.
For your second question, I'm not sure, but I'll bet if you poke
around in the Legend object returned by the function, you'll find
something.
On Mon, Oct 20, 2014 at 8:04 AM,
Legends entries are blindly constructed. Each plotting call that has a
legend keyword argument will produce a legend entry if you are
automatically building the legend. You can pass a label value of
__nolabel__ to prevent an entry if you know you are about to do something
that would duplicate the
