Is there a way to programmatically write line labels, as in the
attached image? If it doesn't go through the list, basically I want a
label at the end of each of 10 or so lines in a plot.
Tx
<>
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New compile to match numpy-0.9.8.
win32-py2.4 coming tomorrow morning...
http://cheeseshop.python.org/pypi/matplotlib/
http://sourceforge.net/project/showfiles.php?group_id=80706
===
2006-06-06 Released 0.87.3 at revision 2432
2006-05-3
On 6/6/06, Charlie Moad <[EMAIL PROTECTED]> wrote:
> New compile to match numpy-0.9.8.
> win32-py2.4 coming tomorrow morning...
>
> http://cheeseshop.python.org/pypi/matplotlib/
> http://sourceforge.net/project/showfiles.php?group_id=80706
>
> ===
> "William" == William Hartt <[EMAIL PROTECTED]> writes:
William> Does anyone know the syntax for fraction used in
William> mathtext? The LaTex version is \frac{num}{denom} but
William> this gives an error.
mathtext doesn't currently support frac (but hopefully it will by the
end
You can set matplotlib up to use LaTeX, but it can be a little bit of
work to get it going. The results are quite beautiful though.
set usetex = 1 in yout matplotlibrc file to try it out. It depends on
LaTeX, dvipng, and ghostscript.
Ryan
On 6/6/06, William Hartt <[EMAIL PROTECTED]> wrote:
>
>
Does anyone know the syntax for fraction used in mathtext? The LaTex version is \frac{num}{denom} but this gives an error.
Thanks
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> "James" == James Boyle <[EMAIL PROTECTED]> writes:
James> I have always felt that it would be useful to have
James> available a collection of plots corresponding to the code
James> in the examples file as part of the distribution. (for
James> those examples that generate plot
I have always felt that it would be useful to have available a
collection of plots corresponding to the code in the examples file as
part of the distribution. (for those examples that generate plots, of
course)
The plot names would be the same as the example code that generated
them. It could b
Title: Second y axis
Hi,
I am using a second y axis on the right with twinx() like the
following:
ax = subplot(111)
plot_date(..., label='foo')
ax.xaxis.set_major_locator(month3)
ax.xaxis.set_major_formatter(DateFormatter('%Y-%m'))
ax.xaxis.set_minor_locator(month1)
ax.autoscale_view()
labe
