-1
數據:刪除所有行與特定條目
DB <- data.frame(orderID = c(1,2,3,4,4,5,6,6,7,8),
orderDate = c("1.1.12","1.1.12","1.1.12","13.1.12","13.1.12","12.1.12","10.1.12","10.1.12","21.1.12","24.1.12"),
itemID = c(2,3,2,5,12,4,2,3,1,5),
customerID = c(1, 2, 3, 1, 1, 3, 2, 2, 1, 1),
itemPrice = c(9.99, 14.99, 9.99, 19.99, 29.99, 4.99, 9.99, 14.99, 49.99, 19.99)
orderItemStatus = c(sold, sold, sold, refunded, sold, refunded, sold, refunded, sold, refunded))
預期成果:
DB <- data.frame(orderID = c(1,2,3,4,6,7),
orderDate = c("1.1.12","1.1.12","1.1.12","13.1.12","10.1.12","21.1.12"),
itemID = c(2,3,2,12,2,1),
customerID = c(1, 2, 3, 1, 2, 1,),
itemPrice = c(9.99, 14.99, 9.99, 29.99, 9.99, 49.99,)
orderItemStatus = c(sold, sold, sold, sold, sold, sold)
的理解:
的orderID
是連續的。同一天訂購的產品customerID
在同一天獲得相同的orderID
。當同一客戶在另一天訂購產品時,這是新的orderID
。
我想刪除orderItemStatus = refunded的所有訂單。我怎樣才能做到這一點? (我認爲它退出簡單,我發現Removing specific rows from a dataframe:但我不明白它是如何工作的 - 所以PLZ幫助我:()
- >原始數據有大約500k行:所以PLZ給解決方案只需要少許性能比較...
非常感謝您的支持
嘗試'DB < - DB [DB $ orderItemStatus!=「退款」,]' – rosscova
工作!謝謝! – AbsoluteBeginner