Pandas Series: to_pickle() function

Last update on September 15 2022 12:54:39 (UTC/GMT +8 hours)

Series-to_pickle() function

Pickle (serialize) object to file.

Syntax:

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

Parameters:

Name	Description	Type/Default Value	Required / Optional
path	File path where the pickled object will be stored	str	Required
compression	A string representing the compression to use in the output file. By default, infers from the file extension in specified path.	{‘infer’, ‘gzip’, ‘bz2’, ‘zip’, ‘xz’, None}, default ‘infer’	Required
protocol	Int which indicates which protocol should be used by the pickler, default HIGHEST_PROTOCOL. 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.	int	Required

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
original_df = pd.DataFrame({"f1": range(6), "b1": range(6, 12)})
original_df

Output:

Python-Pandas Code:

import numpy as np
import pandas as pd
original_df = pd.DataFrame({"f1": range(6), "b1": range(6, 12)})
original_df.to_pickle("./dummy.pkl")
unpickled_df = pd.read_pickle("./dummy.pkl")
unpickled_df

Output:

Python-Pandas Code:

import numpy as np
import pandas as pd
original_df.to_pickle("./dummy.pkl")
unpickled_df = pd.read_pickle("./dummy.pkl")
import os
os.remove("./dummy.pkl")

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