NOTE: You should use pandas.read_pickle and pandas.to_pickle instead for
load and dump.
Available functions:
Use help(pickle_utils) in an interactive session for slightly more detailed
docs.
load(filename_or_object)
Load a Pickle file, from a file name or a file-like object. If the argument is a file name, it must end in ".pkl" or ".pkl.gz". In the second case the file will be compressed.
Use pandas.read_pickle instead.
dump(data, filename_or_object)
Same as before but dump data to disk.
Use pandas.to_pickle instead.
@memoize(filename, log_level=info)
Decorator to memoize the output of a function to filename with pickle. The
function will be executed only if filename does not exist.
Metadata
Release files for pickle-utils 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pickle_utils-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.7 kB
Release files / pickle_utils-0.1.1.tar.gz
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Release files / pickle_utils-0.1.1-py3-none-any.whl
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