Hi Everyone,
This week I started looking into saving my work to a pickled file so I
could reload them later and retain their names. In Matlab, all or some
variables in a workspace can be saved to a .mat file, and it seems
possible to do this with Python. comp.lang.python gave me some ideas,
and I wonder if this would be useful to matplotlib.
The primary problems, as I see them, are:
1) all objects are not picklable
2) a variable's class must be defined before instantiating by unpickling
3) others that I am not aware of (well, there's always that)
Have you guys looked into a way to save variables from an interactive
session? I'm sure there is an easier way; my not-too-Pythonic solution
looks like:
import shelve
myvars = {}
for key in vars().keys():
myvar = vars()[key]
if str(type(myvar)) == "<type 'module'>": print "can't pickle <type
'module'>"
elif: str(type(myvar)) == "<type 'function'>": print "can't pickle
<type 'function'>"
elif: str(type(myvar)) == "<type 'unpicklable'>": print "can't
pickle <type 'module'>"
else: myvars.update({key:myvar})
s = shelve.open('myvars.mpl',protocol=-1)
s.update(myvars)
s.close()
and reloading the data:
import shelve
s = shelve.open('myvars.mpl')
for key in s.keys():
try:
vars().update({key:s[key]})
except:
print type(s[key]), ' is not currently defined.'
What do you think? A try/except PicklingError might be possiblem, but according to the pickling docs, an unspecified number of bytes may have been written to the file before the
PicklingError exception is raised.
Also, is there any interest in saving figures as pickled objects, to be reloaded like Matlab's .fig files?
Darren
--
Darren S. Dale
dd...@co...
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