python - 如何将 pd.grouper 系列转换为 DataFrame

Question

我有这样的代码:

y1 = data.groupby(['name', pd.Grouper(key='datetime', freq='15d')])['ext price'].mean()
y=pd.DataFrame(y1)
y.head()

输出是:

                                    ext price
name        datetime    
Barton LLC  2014-01-01 07:21:51     3380.91
            2014-01-16 07:21:51     399.5228571
            2014-01-31 07:21:51     1666.523333
            2014-02-15 07:21:51     1804.615
            2014-03-02 07:21:51     1171.176667

我想将此输出作为 DataFrame 如下所示:

    name        datetime                ext price
0   Barton LLC  2014-01-01 07:21:51     3380.91
1   Barton LLC  2014-01-16 07:21:51     399.5228571
2   Barton LLC  2014-01-31 07:21:51     1666.523333
3   Barton LLC  2014-02-15 07:21:51     1804.615
4   Barton LLC  2014-03-02 07:21:51     1171.176667

Answer 1

使用reset_index:

print(y.reset_index())

reset_index 只是建立新的索引，将旧的级别作为列，并使数据帧正常。

输出:

    name        datetime                ext price
0   Barton LLC  2014-01-01 07:21:51     3380.91
1   Barton LLC  2014-01-16 07:21:51     399.5228571
2   Barton LLC  2014-01-31 07:21:51     1666.523333
3   Barton LLC  2014-02-15 07:21:51     1804.615
4   Barton LLC  2014-03-02 07:21:51     1171.176667