Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about how to use the partition () method in Pandas. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

Series.str.partition (pat='', expand=True) splits the string from the left and retains the delimiter compared to split

Series.str.rpartition (pat='', expand=True) starts segmentation from the right.

Parameters:

Pat: string, split point

Expand: Boolean value that determines the return type

Return:

Data frame DataFrame/ complex index MultiIndex/ sequence Series/ index

> s = Series (['Aging Bond Clearing,' Dancing EffectF' 'X']) 0 A_B_C1 D_E_F2 Xdtype: object > s.str.partition (' _') 0 120 A_B_C1 D_E_F2 X > s.str.rpartition ('_') 0 120 A_B_C1 D_E_F2 X the above is how to use the partition () square method in Pandas shared by the editor. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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