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Python Standard Library
book

Python Standard Library

by Fredrik Lundh
May 2001
Intermediate to advanced
304 pages
6h 12m
English
O'Reilly Media, Inc.
Content preview from Python Standard Library

The pickle Module

The pickle module, shown in Example 4-11, is used to serialize data—that is, convert data to and from character strings, so that they can be stored on file or sent over a network. It’s a bit slower than marshal, but it can handle class instances, shared elements, and recursive data structures, among other things.

Example 4-11. Using the pickle Module

File: pickle-example-1.py

import pickle

value = (
    "this is a string",
    [1, 2, 3, 4],
    ("more tuples", 1.0, 2.3, 4.5),
    "this is yet another string"
    )

data = pickle.dumps(value)

# intermediate format
print type(data), len(data)

print "-"*50
print data
print "-"*50

print pickle.loads(data)

<type 'string'> 121
--------------------------------------------------
(S'this is a string'
p0
(lp1
I1
aI2
aI3
aI4
a(S'more tuples'
p2
F1.0
F2.3
F4.5
tp3
S'this is yet another string'
p4
tp5
.
--------------------------------------------------
('this is a string', [1, 2, 3, 4], ('more tuples',
1.0, 2.3, 4.5), 'this is yet another string')

On the other hand, pickle cannot handle code objects (but see the copy_reg module for a way to fix this).

By default, pickle uses a text-based format. You can also use a binary format, in which numbers and binary strings are stored in a compact binary format. The binary format usually results in smaller files. This is demonstrated in Example 4-12.

Example 4-12. Using the pickle Module in Binary Mode

File: pickle-example-2.py import pickle import math value = ( "this is a long string" * 100, [1.2345678, ...
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Publisher Resources

ISBN: 0596000960Catalog PageErrata