我创建了一个条件语句，该条件语句在时间窗口中比较ID并根据其矢量长度对其进行标记。以下代码创建一列“ intera”：
time = np.array([1,1,1,1,2,2,2,2,2,2,3,3,3,3,3])
ids = np.array([3271,3229,4228,2778,4228,3271,3229,3229,4228,2778,4228,3271,4228,3229,3271])
vec_len = np.array([,0.1,0.5,-0.0,0.0,0.1,-0.7,-0.3,-0.8,-0.6,0.2,0.1,-0.7,-0.3,-0.8])
quad = np.array([7,0,0,5,0,6,5,2,5,5,0,6,5,2,5])
df = pd.DataFrame({'time': time, 'id': ids, 'vec_len': vec_len, 'id': ids})
df['intera'] = np.array(0)
df = pd.DataFrame({'time': time, 'id': ids, 'vec_len': vec_len, 'id': ids})
grp = df.groupby(['time', 'id'], as_index=False)
quant_25 = grp.vec_len.quantile(.25).rename(columns={'vec_len': 'quantile_2 5'})
quant_75 = grp.vec_len.quantile(.75).rename(columns={'vec_len': 'quantile_75'})
quantiles = pd.merge(quant_25, quant_75, on=['time', 'id'])
df = df.merge(quantiles, on=['time', 'id'])
df.loc[:, 'intera'] = df[['vec_len', 'quantile_25', 'quantile_75']].apply(
lambda x: 1 if x[0] < x[1] or x[0] > x[2] else 0, axis=1)
这将创建交互列：
time id vec_len quadrant interaction
1 3271 0.9 7 0
1 3229 0.1 0 0
1 4228 0.5 0 0
1 2778 -0.3 5 0
2 4228 0.2 0 0
2 3271 0.1 6 0
2 3229 -0.7 5 1
2 3229 -0.3 2 0
2 4228 -0.8 5 1
2 2778 -0.6 5 1
3 4228 0.2 0 0
3 3271 0.1 6 0
3 4228 -0.7 5 1
3 3229 -0.3 2 0
3 3271 -0.8 5 1
如何创建另一列，以显示在“ intera”列中通常以1分配的ID对或成对的ID？
预期的列（“与之配对/分组”）
time id vec_len quadrant interaction Paired with
1 3271 0.9 7 0
1 3229 0.1 0 0
1 4228 0.5 0 0
1 2778 -0.3 5 0
2 4228 0.2 0 0
2 3271 0.1 6 0
2 3229 -0.7 5 1 [2778, 4228]
2 3229 -0.3 2 0
2 4228 -0.8 5 1 [2778, 3229]
2 2778 -0.6 5 1 [4228, 3229]
3 4228 0.2 0 0
3 3271 0.1 6 0
3 4228 -0.7 5 1 [3271]
3 3229 -0.3 2 0
3 3271 -0.8 5 1 [4228]