pandas.Series.to_pickle

Series.to_pickle(self, path, compression='infer', protocol=4)[source]

Pickle (serialize) object to file.

Parameters
pathstr

File path where the pickled object will be stored.

compression{‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}, default ‘infer’

A string representing the compression to use in the output file. By default, infers from the file extension in specified path.

New in version 0.20.0.

protocolint

Int which indicates which protocol should be used by the pickler, default HIGHEST_PROTOCOL (see [1] paragraph 12.1.2). The possible values are 0, 1, 2, 3, 4. A negative value for the protocol parameter is equivalent to setting its value to HIGHEST_PROTOCOL.

1

https://docs.python.org/3/library/pickle.html

New in version 0.21.0.

See also

read_pickle

Load pickled pandas object (or any object) from file.

DataFrame.to_hdf

Write DataFrame to an HDF5 file.

DataFrame.to_sql

Write DataFrame to a SQL database.

DataFrame.to_parquet

Write a DataFrame to the binary parquet format.

Examples

>>> original_df = pd.DataFrame({"foo": range(5), "bar": range(5, 10)})
>>> original_df
   foo  bar
0    0    5
1    1    6
2    2    7
3    3    8
4    4    9
>>> original_df.to_pickle("./dummy.pkl")
>>> unpickled_df = pd.read_pickle("./dummy.pkl")
>>> unpickled_df
   foo  bar
0    0    5
1    1    6
2    2    7
3    3    8
4    4    9
>>> import os
>>> os.remove("./dummy.pkl")
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