matplotlib-users Mailing List for matplotlib

Using matplotlib 0.84, python 2.4, scipy 0.3.2, numeric 23.7
I get errors when running date_demo_rrule.py.
Since the demo scripts are for educational purposes and primarily used 
by newbies, I have a couple of suggestions.
1. Don't use import *, import the specific functions used in the demo. 
I've had problems with this (especially in the interpreter) because many 
Python modules use the same names in their global name space and it's 
easy to inadvertently replace one function with another of the same name 
which introduces bugs that can be difficult to find.
2. Don't import functions from submodules, instead use the submodule 
name when calling the function. It makes it much clearer to see where 
the function came from.
The set function seems to be broken (or it's a typo), I had to replace 
it with the setp function to get the demo to run.
Below it the results of diff between my working version of the demo and 
the original that won't run:
---------------------------------
wjd@plum ~/test $ diff date_demo_rrule.py 
../matplotlib_examples/date_demo_rrule.py
8c8,10
< from pylab import dates, YEARLY, drange, rand, subplot, plot_date, 
setp, show
---
 > from pylab import *
 > from matplotlib.dates import YEARLY, DateFormatter, \
 > rrulewrapper, RRuleLocator, drange
11d12
<
13,15c14,16
< rule = dates.rrulewrapper(YEARLY, byeaster=1, interval=5)
< loc = dates.RRuleLocator(rule)
< formatter = dates.DateFormatter('%m/%d/%y')
---
 > rule = rrulewrapper(YEARLY, byeaster=1, interval=5)
 > loc = RRuleLocator(rule)
 > formatter = DateFormatter('%m/%d/%y')
29c30
< setp(labels, rotation=30, fontsize=10)
---
 > set(labels, rotation=30, fontsize=10)
---------------------------------
Bill

This question is related to memory usage (and garbage collection) with=20
matplotlib.
Some very simple examples are shown below. These results were obtained=20
in a Windows XP
box but some similar results were also observed under Linux. First=20
column shows the memory
allocated just after the execution of the command shown in the second=20
column.
Test #1
Mem Usage Action
3152K Python Command Line Opened
15700K from pylab import *
15700K a =3D arange(0, 10)
19820K figure(1)
19988K plot(a, a)
22288K show()
20100K Memory usage after closing graphic window
Test #2
Mem Usage Action
3148K Python Command Line Opened
15700K from pylab import *
15700K a =3D arange(0, 10)
19820K figure(1)
19988K plot(a, a)
22288K show()
20100K Memory usage after closing graphic window
Test #3
Mem Usage Action
3148K Python Command Line Opened
15700K from pylab import *
19808K figure(1)
19812K a =3D arange(0, 10)
19980K plot(a, a)
22272K show()
20112K Memory usage after closing graphic window
The question is: "why isn't the memory collected after closing the=20
figure?". The real
program I developed builds 5~15 graphic windows and the required memory=20
is very large.
Prof. Clovis Goldemberg
University of S=E3o Paulo

Dear list,
does anyone know an easy way to zoom a part of a canvas and put it in a
new axes, like is done in the demo of axes?
http://matplotlib.sourceforge.net/screenshots/axes_demo_small.png
Regards,
Joost
-- 
Joost van Evert
Information and Communication Theory Group (ICT)
Department of Mediamatica (MM)
Faculty of Electrical Engineering, Mathematics and Computer Science
(EEMCS)
Delft University of Technology (TUD)
Mekelweg 4
Office: HB11.110
2628 CD Delft, 
the Netherlands
Phone: +31 (0) 15 - 27 85436
Mobile: +31 (0) 6 - 41 11 56 84
Email: j.g...@ew...
Url: http://ict.ewi.tudelft.nl/~joost