df = pd.DataFrame({'id': [1,1,1,1,1,1,2,2,2,2,2,2],
                   'val': [1,10,1,10,20,30,1,1,1,12,17,28]})

id    val
1       1
1      10
1       1
1      10
1      20
1      30
2       1
2       1
2       1
2      12
2      17
2      28

id    val
1      10
1      20
1      30
2      12
2      17
2      28

df = pd.DataFrame({'id': [1,1,1,1,1,1],
               'val': [1,10,1,10,20,30]})

# create groups at breakpoints where condition is no longer met
g = df.groupby((df['val'] > 5).cumsum())

# find last group
label = max(list(g.groups.keys()))

result = df.loc[g.groups[label]._data].tail(-1)