pandas.Series.to_pickle¶
-
Series.
to_pickle
(path, compression='infer', protocol=4)[source]¶ Pickle (serialize) object to file.
Parameters: path : str
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.
protocol : int
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")