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pandas.Panel.to_pickle

Panel.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

Int which indicates which protocol should be used by the pickler, default HIGHEST_PROTOCOL (see [R21] paragraph 12.1.2). The possible values for this parameter depend on the version of Python. For Python 2.x, possible values are 0, 1, 2. For Python>=3.0, 3 is a valid value. For Python >= 3.4, 4 is a valid value. A negative value for the protocol parameter is equivalent to setting its value to HIGHEST_PROTOCOL.

[R21]

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")

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Panel.to_pickle.html