Memoize functions to disk, load and save compressed Pickle files.
Project description
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.
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