(continued from previous page) 1 2 DEF Length: 3, dtype: string In [13]: s.str.split('b', expand=True).dtypes Out[13]: 0 string 1 string Length: 2, dtype: object String accessor methods returning the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and

the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and firstlast['First_Name'] = firstlast['String'].str.split(" ", expand=True)[0] In [32]: firstlast['Last_Name'] = firstlast['String'].str.rsplit(" ", expand=True)[0] In [33]: firstlast Out[33]: String First_Name

the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and firstlast['First_Name'] = firstlast['String'].str.split(" ", expand=True)[0] In [32]: firstlast['Last_Name'] = firstlast['String'].str.rsplit(" ", expand=True)[0] In [33]: firstlast Out[33]: String First_Name

the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and firstlast['First_Name'] = firstlast['String'].str.split(" ", expand=True)[0] In [32]: firstlast['Last_Name'] = firstlast['String'].str.rsplit(" ", expand=True)[0] In [33]: firstlast Out[33]: String First_Name

the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and firstlast['First_Name'] = firstlast['String'].str.split(" ", expand=True)[0] In [32]: firstlast['Last_Name'] = firstlast['String'].str.rsplit(" ", expand=True)[0] In [33]: firstlast Out[33]: String First_Name

the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and firstlast['First_Name'] = firstlast['String'].str.split(" ", expand=True)[0] In [32]: firstlast['Last_Name'] = firstlast['String'].str.rsplit(" ", expand=True)[0] In [33]: firstlast Out[33]: String First_Name

the result_type, which accepts three options: reduce, broadcast, and expand. These will determine how list-likes return values expand (or not) to a DataFrame. apply() combined with some cleverness can filename_02 media/user_name/storage/folder_02/filename_02 You can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and firstlast['First_Name'] = firstlast['String'].str.split(" ", expand=True)[0] In [32]: firstlast['Last_Name'] = firstlast['String'].str.rsplit(" ", expand=True)[0] In [33]: firstlast Out[33]: String First_Name

dropped the copy parameter (GH13781) • str.split has dropped the return_type parameter in favor of expand (GH13701) • Removal of the legacy time rules (offset aliases), deprecated since 0.17.0 (this has and returns the contents of the capture groups (GH11386). In v0.18.0, the expand argument was added to extract. • expand=False: it returns a Series, Index, or DataFrame, depending on the subject and behavior as pre-0.18.0). • expand=True: it always returns a DataFrame, which is more consistent and less confusing from the per- spective of a user. Currently the default is expand=None which gives a FutureWarning

dropped the copy parameter (GH13781) • str.split has dropped the return_type parameter in favor of expand (GH13701) • Removal of the legacy time rules (offset aliases), deprecated since 0.17.0 (this has and returns the contents of the capture groups (GH11386). In v0.18.0, the expand argument was added to extract. • expand=False: it returns a Series, Index, or DataFrame, depending on the subject and behavior as pre-0.18.0). • expand=True: it always returns a DataFrame, which is more consistent and less confusing from the per- spective of a user. Currently the default is expand=None which gives a FutureWarning

dropped the copy parameter (GH13781) • str.split has dropped the return_type parameter in favor of expand (GH13701) • Removal of the legacy time rules (offset aliases), deprecated since 0.17.0 (this has and returns the contents of the capture groups (GH11386). In v0.18.0, the expand argument was added to extract. • expand=False: it returns a Series, Index, or DataFrame, depending on the subject and behavior as pre-0.18.0). • expand=True: it always returns a DataFrame, which is more consistent and less confusing from the per- spective of a user. Currently the default is expand=None which gives a FutureWarning