我有一個 df，查詢主題 HPSame0 WP_77.1 WP_706.1 HPS_11 WP_78.1 WP_46.1 HPS_22 WP_57.1 WP_26.1 HPS_33 WP_57.1 WP_627.1 HPS_44 WP_15.1 WP_16.1 HPS_55 WP_15 .1 WP_17.1 HPS_66 WP_15.1 WP_63.1 HPS_7 7 WP_15.1WP_61.1 HPS_88 WP_15.1 WP_56.1 HPS_99 WP_40.1 WP_11.1 HPS_10我試過，df['query_s'] = df['query'].shift(-1)df['HPSame_s'] = df['HPSame'].shift(-1)condition = [(df['query'] == df['query_s'])]ifTrue = df['HPSame']ifFalse = df['HPSame_s']df['match'] = np.where(condition, ifTrue, ifFalse)這會引發 ValueError: 值的長度與索引的長度不匹配我也嘗試過，以下但沒有給我我想要的結果。df.loc[(df['query'] == df['query_s']), 'match'] = df['HPSame']df.loc[(df['query'] != df['query_s']), 'match'] = df['HPSame_s']我正在尋找結果，df = query subject HPSame match 0 WP_77.1 WP_706.1 HPS_1 HPS_1 1 WP_78.1 WP_46.1 HPS_2 HPS_2 2 WP_57.1 WP_26.1 HPS_3 HPS_3 3 WP_57.1 WP_627.1 HPS_4 HPS_3 4 WP_15.1 WP_16.1 HPS_5 HPS_5 5 WP_15.1 WP_17.1 HPS_6 HPS_5 6 WP_15.1 WP_63.1 HPS_7 HPS_5 7 WP_15.1 WP_61.1 HPS_8 HPS_5 8 WP_15.1 WP_56.1 HPS_9 HPS_5 9 WP _40.1 WP_11。 1 HPS_10 HPS_10
2 回答
慕斯709654
TA貢獻1840條經驗 獲得超5個贊
您可以使用ffill：
df['match'] = df['HPSame'].where(df['query'] != df['query'].shift()).ffill()
輸出：
query subject HPSame match
0 WP_77.1 WP_706.1 HPS_1 HPS_1
1 WP_78.1 WP_46.1 HPS_2 HPS_2
2 WP_57.1 WP_26.1 HPS_3 HPS_3
3 WP_57.1 WP_627.1 HPS_4 HPS_3
4 WP_15.1 WP_16.1 HPS_5 HPS_5
5 WP_15.1 WP_17.1 HPS_6 HPS_5
6 WP_15.1 WP_63.1 HPS_7 HPS_5
7 WP_15.1 WP_61.1 HPS_8 HPS_5
8 WP_15.1 WP_56.1 HPS_9 HPS_5
9 WP_40.1 WP_11.1 HPS_10 HPS_10
呼喚遠方
TA貢獻1856條經驗 獲得超11個贊
您也可以使用groupby.transform('first')如
df['match'] = (
df.groupby('query')['HPSame'].transform('first')
.reset_index(drop=True)
)
輸出
query subject HPSame match
0 WP_77.1 WP_706.1 HPS_1 HPS_1
1 WP_78.1 WP_46.1 HPS_2 HPS_2
2 WP_57.1 WP_26.1 HPS_3 HPS_3
3 WP_57.1 WP_627.1 HPS_4 HPS_3
4 WP_15.1 WP_16.1 HPS_5 HPS_5
5 WP_15.1 WP_17.1 HPS_6 HPS_5
6 WP_15.1 WP_63.1 HPS_7 HPS_5
7 WP_15.1 WP_61.1 HPS_8 HPS_5
8 WP_15.1 WP_56.1 HPS_9 HPS_5
9 WP_40.1 WP_11.1 HPS_10 HPS_10
添加回答
舉報
0/150
提交
取消