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NOTE: You should use pandas.read_pickle
and pandas.to_pickle
instead for
load
and dump
.
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.
FAQs
Memoize functions to disk, load and save compressed Pickle files.
We found that pickle-utils demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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