Question

我正试图为已回答的问题做一个标记。下面是一个示例数据框。

userid  message                    type
1        hi                        incoming
1        how may I help you        outgoing
1        looking for a job         incoming
1        whats your name           outgoing
1        nitin                     incoming
1        kansal                    incoming
1        whats your age            outgoing
2        hi                        incoming
2        how may I help you        outgoing
3        hi                        incoming
3        how may I help you        outgoing
3        looking for a restaurant  incoming
3        can you suggest something incoming
3        whats your name           outgoing

因此，现在，通过相同用户ID收到传入问题的传出问题将有一个标志。输出数据框看起来像。

userid  message                         type          got_response
    1        hi                        incoming          
    1        how may I help you        outgoing           1
    1        looking for a job         incoming
    1        whats your name           outgoing           1
    1        nitin                     incoming
    1        kansal                    incoming
    1        whats your age            outgoing           0
    2        hi                        incoming
    2        how may I help you        outgoing           0
    3        hi                        incoming
    3        how may I help you        outgoing           1
    3        looking for a restaurant  incoming
    3        can you suggest something incoming
    3        whats your name           outgoing           0

寻找基于numpy的解决方案。我已经使用for循环完成了此操作，但实际的数据库具有数百万行，因此需要数小时才能完成任务。

Answer 1

df['Flag'] = ((df['userid'] == df['userid'].shift(-1)) & (df['type'].eq('outgoing') & df['type'].shift(-1).eq('incoming')))

如果回答了聊天机器人问题，是否需要标记？

1 个答案: