scipy.plt legend?

G

gurkesaft

Hello,

Does anyone know how to use scipy.plt? The documentation is wrong or
out of date at the scipy website, and I can't join their mailing lists
for some reason.

Most importantly, I need to be able to make and manipulate a legend.
The scipy.plt.legend('whatever') command doesn't seem to exist. I
can't even get started!

Thanks,
-Jack
 
R

Robert Kern

gurkesaft said:
Hello,

Does anyone know how to use scipy.plt? The documentation is wrong or
out of date at the scipy website, and I can't join their mailing lists
for some reason.

Most importantly, I need to be able to make and manipulate a legend.
The scipy.plt.legend('whatever') command doesn't seem to exist. I
can't even get started!

scipy.plt is incredibly obsolete, unmaintained, and deprecated. Don't
use it. Please use matplotlib instead:

http://matplotlib.sourceforge.net

--
Robert Kern
(e-mail address removed)

"In the fields of hell where the grass grows high
Are the graves of dreams allowed to die."
-- Richard Harter
 
G

gurkesaft

Thank you, Robert. I noticed how obsolete it is! There is no
documentation.

Matplotlib freezes my system if I close a plot and make a new one :(.
Bah. Windows :)

Anyway, I figured out how to make gnuplot.py do my bidding.

-Jack
 
J

John Hunter

gurkesaft> Thank you, Robert. I noticed how obsolete it is!
gurkesaft> There is no documentation.

gurkesaft> Matplotlib freezes my system if I close a plot and make
gurkesaft> a new one :(. Bah. Windows :)

Have you seen the documentation on

http://matplotlib.sf.net/installing.html

In particular, you need to make sure that your backend, shell, and
interactive setting all are harmonious. One suggestion: in your rc
file, try setting 'backend : TkAgg' and 'interactive : True' in your
http://matplotlib.sf.net/matplotlibrc file. Also, beware of using
matplotlib from a GUI IDE which uses a different GUI toolkit than the
one you've selected in your rc file. I realize this is complex -- but
I think it is part and parcel of the curse of python. python supports
6+ GUI toolkits and so matplotlib does too! If the GUI mainloop and
matplotlib mainloop don't agree, bad things can happen.

JDH
 

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