我关注Dataframe
:
image product vp_fk mask
0 136524 105 2316 51322
1 136524 105 2316 51324
2 136524 106 2316 51325
3 136524 106 2316 51328
4 136524 106 2316 51329
5 136525 108 2319 51330
我想将其转换为以下字典:
{105:[[136524, 2316, 51322],
[136524, 2316, 51324]]
106: [[136524, 2316, 51325],
[136524, 2316, 51328],
[136524, 2316, 51329]]
108: [[136525, 2319, 51330]]}
答案 0 :(得分:4)
试试这个:
In [187]: df.groupby('product')[['image','vp_fk','mask']].apply(lambda grp: grp.values.tolist()).to_dict()
Out[187]:
{105: [[136524, 2316, 51322], [136524, 2316, 51324]],
106: [[136524, 2316, 51325], [136524, 2316, 51328], [136524, 2316, 51329]],
108: [[136525, 2319, 51330]]}