如何按 pandas 中的值对系列进行分组? [英] How to group a Series by values in pandas?

问题描述

我目前有一个dtype为Timestamp的熊猫Series，我想按日期对其进行分组(并且每行中都有许多行，每个行的时间不同).

I currently have a pandas Series with dtype Timestamp, and I want to group it by date (and have many rows with different times in each group).

看似显而易见的方法类似于

The seemingly obvious way of doing this would be something similar to

grouped = s.groupby(lambda x: x.date())

但是，pandas的groupby按其索引对Series进行分组.如何将其按值分组?

However, pandas' groupby groups Series by its index. How can I make it group by value instead?

推荐答案

grouped = s.groupby(s)

或者:

grouped = s.groupby(lambda x: s[x])

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