[英]Prevent dplyr from joining on NA's
I'd like to do a full-join of 2 df's. 我想完全加入2 df。 To my surprise, dplyr's default behavior is to join on NA's if they exist in both df's.
令我惊讶的是,dplyr的默认行为是加入NA,如果它们存在于两个df中。 Is there a functionality to prevent dplyr from doing this?
有没有阻止dplyr执行此操作的功能?
Here's an example with inner join: 以下是内部联接的示例:
x <- data.frame(a = c(5, NA, 9), b = 1:3)
y <- data.frame(a = c(5, NA, 9), c = 4:6)
z <- dplyr::inner_join(x, y, by = 'a')
I would like z to contain only 2 records, not 3. Ideally, I want to do this without having to manually filter out the records with NA's beforehand and then append them to the result (since that seems clumsy). 我希望z只包含2条记录,而不是3.理想情况下,我希望这样做而不必事先用NA手动过滤掉记录,然后将它们附加到结果中(因为这看起来很笨拙)。
You can use na_matches = "never"
. 你可以使用
na_matches = "never"
。 This is in the NEWS for v. 0.7.0 but I don't see it in the documentation. 这是针对v.7.0.0的新闻 ,但我没有在文档中看到它。 The default is
na_matches = "na"
. 默认值为
na_matches = "na"
。
This returns two rows instead of three: 这将返回两行而不是三行:
dplyr::inner_join(x, y, by = 'a', na_matches = "never")
a b c
1 5 1 4
2 9 3 6
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