我有 2 個數據框。一個用于Invoice Data，另一個用于Promotion Dates。Invoice Data數據框+------------+-------------+---------------+| LocationNo | InvoiceDate | InvoiceAmount |+------------+-------------+---------------+| A | 01-Jul-20 | 79 |+------------+-------------+---------------+| B | 01-Jul-20 | 72 |+------------+-------------+---------------+| C | 01-Jul-20 | 24 |+------------+-------------+---------------+| A | 02-Jul-20 | 68 |+------------+-------------+---------------+| B | 02-Jul-20 | 6 |+------------+-------------+---------------+| C | 02-Jul-20 | 27 |+------------+-------------+---------------+| A | 03-Jul-20 | 25 |+------------+-------------+---------------+| B | 03-Jul-20 | 62 |+------------+-------------+---------------+| C | 03-Jul-20 | 58 |+------------+-------------+---------------+| D | 03-Jul-20 | 36 |+------------+-------------+---------------+| E | 03-Jul-20 | 65 |+------------+-------------+---------------+| F | 03-Jul-20 | 81 |+------------+-------------+---------------+df_1 = pd.DataFrame({ 'LocationNo':['A','B','C','A','B','C','A','B','C','D','E','F'], 'InvoiceDate':['01-Jul-20','01-Jul-20','01-Jul-20','02-Jul-20','02-Jul-20','02-Jul-20', '03-Jul-20','03-Jul-20','03-Jul-20','03-Jul-20','03-Jul-20','03-Jul-20'], 'InvoiceAmount':[79,72,24,68,6,27,25,62,58,36,65,81]})我的任務是根據兩個條件合并兩個數據幀，并在 滿足這些條件時Yes向新列添加值。Promotion條件如下LocationNo應該匹配應該InvoiceDate位于各自的LocationNo和PromotionStart之間PromotionEnd?；旧希瑑H在和日期InvoiceDate之間進行合并。PromotionStartPromotionEnd
1 回答
縹緲止盈
TA貢獻2041條經驗 獲得超4個贊
讓我們嘗試merge過濾一下：
out = df_1.merge(df_2, on='LocationNo', how='left')
df_1['Promotion'] = np.where(out['InvoiceDate'].between(out['PromotionStart'], out['PromotionEnd']),
'Yes', '')
輸出：
LocationNo InvoiceDate InvoiceAmount Promotion
0 A 01-Jul-20 79 Yes
1 B 01-Jul-20 72
2 C 01-Jul-20 24
3 A 02-Jul-20 68 Yes
4 B 02-Jul-20 6 Yes
5 C 02-Jul-20 27
6 A 03-Jul-20 25
7 B 03-Jul-20 62 Yes
8 C 03-Jul-20 58 Yes
9 D 03-Jul-20 36 Yes
10 E 03-Jul-20 65
11 F 03-Jul-20 81
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