Hello all,
I've pickled a numarray array object using cPickle like so:
pickle = cPickle.Pickler (fout, -1)
pickle.dump((my array, list1, list2))
and this seems to work fine, until I try to load the array back into
memory:
up = cPickle.Unpickl er(fin)
myarray, list1, list2 = up.load()
which causes an odd traceback:
Traceback (most recent call last):
File "do_lsi.py" , line 7, in ?
data, artists, users = up.load()
ImportError: No module named generic
To which I say, huh? There is indeed a numarray.generi c module - but
numarray is already included into this file. I tried including
numarray.generi c, or "from numarray import generic" or "from
numarray.generi c import *", but none of those did anything.
Anybody able to guess what is happeneing here? Anybody that can explain
the unpickling process in greater detail for me so that I may
understand it better?
Peace
Bill Mill
bill.mill at gmail.com
5  2033 
A couple more details:
I'm using Python 2.3.4 and numarray 1.1. I've now found the
numarray.array_ persist module, which will let me pickle numarrays an
alternative way, but I'd still like to know what's going on here. I can
definitely pickle numarray.array objects in trivial cases.
Why doesn't Python raise an Unpickleable error? Why is it trying to
import generic?
Ok, sorry for sending another message to the list so soon, but I think
I've figured out the problem. On Windows, if you want to use one of the
binary pickle settings, you *need* to open your output file in binary
mode. Perhaps this should be mentioned in the cPickle documentation?
Peace
Bill Mill
bill.mill at gmail.com
On 13 Nov 2004 09:30:31 -0800, "Bill Mill" <bi*******@gmai l.com>
wrote: Perhaps this should be mentioned in the cPickle documentation?
It *IS* documented...
Pickler(...)
Pickler(file, proto=0) -- Create a pickler.
This takes a file-like object for writing a pickle
data stream.
The optional proto argument tells the pickler to
use the given protocol; supported protocols are 0,
1, 2. The default protocol is 0, to be backwards
compatible. (Protocol 0 is the only protocol that
can be written to a file opened in text mode and
--> read back successfully. When using a protocol
--> higher than 0, make sure the file is opened in
--> binary mode, both when pickling and unpickling.)
...
Andrea
Andrea, It *IS* documented...
I saw that when I figured out what was going on. I should have been
more specific. What I meant was that in the Python module documentation
(of cPickle or pickle) on the web should include that little tidbit
which is really rather important. I don't believe that you need to use
binary mode on Unix (though I could be wrong), and that is where I am
used to working, so this error surprised me.
On the website, it doesn't say that anywhere, and it should, IMHO.
Peace
Bill Mill
bill.mill at gmail.com
On Sat, Nov 13, 2004 at 09:27:02AM -0800, Bill Mill wrote: A couple more details:
I'm using Python 2.3.4 and numarray 1.1. I've now found the
numarray.array_ persist module, which will let me pickle numarrays an
alternative way, but I'd still like to know what's going on here. I can
definitely pickle numarray.array objects in trivial cases.
Why doesn't Python raise an Unpickleable error? Why is it trying to
import generic?
Just a guess: the generic submodule is a C language module that doesn't
know that it's meant to be a submodule. -> So it believes it's just
"generic.numarr ay" and not correctly "numpy.generic. numarray".
Andreas This thread has been closed and replies have been disabled. Please start a new discussion. Similar topics | |
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