我正在尝试通过两个独立的组类型A_Bucket和B_Bucket对Pandas数据帧进行分组,并将每个A_Bucket组转换为一列.我得到这样的团体:
grouped = my_new_df.groupby(['A_Bucket','B_Bucket'])
我希望A_Bucket组在列中,B_Bucket组作为索引.'A'有大约20个值,B有大约20个值,所以总共有大约400个组.
当我打印分组及其类型时,我得到:
type of grouped2 = <class 'pandas.core.groupby.DataFrameGroupBy'>
A_Bucket B_Bucket
0.100 100.0 5.418450
120.0 18.061367
0.125 80.0 3.100920
100.0 14.137063
120.0 30.744823
140.0 38.669950
160.0 48.303129
180.0 74.576333
200.0 125.119950
0.150 60.0 0.003200
80.0 2.274807
100.0 5.350074
120.0 23.272970
140.0 40.131780
160.0 47.036912
180.0 72.438978
200.0 117.365480
所以A_Bucket组0.100只有2个值,但0.125有7.我想要一个这样的数据帧:
0.1 0.125 0.15
80 NaN 3.10092 2.274807
100 5.41845 14.137063 5.350074
120 18.0613 30.744823 23.27297
140 NaN 38.66995 40.13178
160 NaN 48.303129 47.036912
180 NaN 74.576333 72.438978
200 …