在 pandas groupby 之后删除一个组
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Delete a group after pandas groupby
提问by geomando
Is it possible to delete a group (by group name) from a groupby object in pandas? That is, after performing a groupby, delete a resulting group based on its name.
是否可以从 Pandas 的 groupby 对象中删除一个组（按组名）？即在执行 groupby 后，根据其名称删除结果组。
回答by Dan Allan
Filtering a DataFrame groupwise has been discussed. And a future release of pandas may include a more convenient way to do it.
已经讨论了按组过滤 DataFrame 。Pandas 的未来版本可能包含更方便的方法。
But currently, here is what I believe to be the most succinct way to filter the GroupBy object groupedby name and return a DataFrame of the remaining groups.
但目前，我认为这是grouped按名称过滤 GroupBy 对象并返回剩余组的 DataFrame的最简洁方法。
df.drop(grouped.get_group(group_name).index)
And here is a more general method derived from the links above:
这是从上面的链接派生的更通用的方法：
df[grouped[0].transform(lambda x: x.name != group_name).astype('bool')]
回答by waitingkuo
Seems there's no direct way to delete a group from a groupby object. I think you can filter out those groupby before groupby by
似乎没有直接的方法可以从 groupby 对象中删除组。我认为你可以在 groupby by 之前过滤掉那些 groupby
df = df[df[group] != group_name]
回答by FinnHolms?
Should be easy:
应该很容易：
df.drop(index='group_name',inplace=True)
df.drop(index='group_name',inplace=True)
