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Today, I will talk to you about how to use the cat () method in Pandas. Many people may not know much about it. In order to make you understand better, the editor has summarized the following content for you. I hope you can get something according to this article.

Cat () connection string

Series.str.cat (others=None, sep=None, na_rep=None)

Parameters:

Others: list or composite list. Default is None. If None, connect its own elements.

Sep: string or None. Default is None.

Na_rep: string or None, default None. If the missing value is None, it is ignored.

Return value:

Concat: sequence (Series) / index (Index) / string (str)

# if two sequences are connected Then it will correspond to > Series (['await,' baked,'c']) .str.cat (['await,' baked,'C'], sep=',') 0a, A _ 1, B _ 2, c _ journal, CD _ type: object# otherwise, it will connect the values in its own sequence > Series (['a, 'baked,' c']) .str.cat (sep=',')'a _ line b Str.cat # can also connect to the composite list > Series (['a','b']). Str.cat ([['x','y'], ['1','2'], sep=',') 0 a line x, 11 b, journal 2d type: object finish reading the above Do you have any further understanding of how to use the cat () method in Pandas? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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