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.
Did you know?
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.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.