我有以下数据框:
weird_data <-
data.frame("ID" = 1:8,
"API" = c("01-01",
"01-02",
"02-01",
"02-02",
"02-03",
"03-01",
"03-02",
"03-03"),
"Final" = c("no",
"yes",
"no",
"no",
"yes",
"no",
"no",
"yes"),
"Month" = c("May",
NA,
NA,
"June",
"July",
"April",
"June",
NA),
stringsAsFactors = FALSE
)
在API
列中,连字符前面的第一个数字是井代码,而连字符后面的第二个数字是活动代码,其中较大的数字与以后的活动相对应。我只想保留与每个孔的最新活动代码相对应的行。但是,对于某些井,Month
数据仅记录用于较早的孔隙度代码。因此,对于每口井,如果最后一个活动代码具有NA
的{{1}},我想用最近的活动代码中的Month
将NA
替换为Month
记录下来。理想情况下,我的输出应如下所示:
desired_output <-
data.frame("ID" = 1:8,
"API" = c("01-01",
"01-02",
"02-01",
"02-02",
"02-03",
"03-01",
"03-02",
"03-03"),
"Final" = c("no",
"yes",
"no",
"no",
"yes",
"no",
"no",
"yes"),
"Month" = c("May",
"May",
NA,
"June",
"July",
"April",
"June",
"June"),
stringsAsFactors = FALSE
)
孔是按顺序排列的,并且Final
列确实表明了我最终希望保留为yes
的孔,如果有帮助的话。但是,实际数据大约有8,000行,涉及2800口井。
答案 0 :(得分:1)
以下是使用var mediaSource = MediaSource.CreateFromStream(_stream.AsRandomAccessStream(), "video/avc");
_mediaPlayerElement.Source = mediaSource;
软件包的一种方法:
tidyverse