bigframes.pandas.Series.to_pickle#

Series.to_pickle(path,*,allow_large_results=None,**kwargs)→None[source]#

Pickle (serialize) object to file.

Examples:

>>>original_df=bpd.DataFrame({"foo":range(5),"bar":range(5,10)})>>>original_df   foo  bar0    0    51    1    62    2    73    3    84    4    9[5 rows x 2 columns]

>>>original_df.to_pickle("./dummy.pkl")

>>>unpickled_df=bpd.read_pickle("./dummy.pkl")>>>unpickled_df   foo  bar0    0    51    1    62    2    73    3    84    4    9[5 rows x 2 columns]

Parameters:

• path (str,path object, orfile-like object) – String, path object (implementingos.PathLike[str]), or file-likeobject implementing a binarywrite() function. File path wherethe pickled object will be stored.

• allow_large_results (bool,default None) – If not None, overrides the global setting to allow or disallowlarge query results over the default size limit of 10 GB.

Returns:

None