将pandas groupby对象转换为数据帧列表

Say I have the following dataframe, and want to group-by the ys:

假设我有以下数据框，并希望按ys分组：

   xs  ys
0   0   0
1   1   0
2   2   1
3   3   1

I can do this by running

我可以通过跑步来做到这一点

grouped = df.groupby('ys')

I can iterate through this new groupby object fine, but instead I want a list of the dataframes that are accessed by group in the following loop:

我可以很好地遍历这个新的groupby对象，但我希望在以下循环中按组访问的数据帧列表：

for name, group in grouped:
    do_something(group)

Is this possible?

这可能吗？

1 个解决方案

#1

Sure, just iterate over the groups!

当然，只是迭代群体！

>>> import pandas as pd, numpy as np
>>> df = pd.DataFrame(dict(xs=list(range(4)), ys=[0,0,1,1]))
>>> df
   xs  ys
0   0   0
1   1   0
2   2   1
3   3   1
>>> grouped = df.groupby('ys')
>>> dataframes = [group for _, group in grouped]
>>> dataframes
[   xs  ys
0   0   0
1   1   0,    xs  ys
2   2   1
3   3   1]
>>>