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获取列名称,并使用r将其指定为数据框中未列出列的值

[英]Get the column name and assign as value in unlisted column in the dataframe using r

I have dataframe that looks like this: 我有看起来像这样的数据框:

   negative     positive
1:              enjoyed
2: hate         famous,helpful
3: forget,poor
4: hate         enjoyed, kind

I want to convert it into something like this: 我想将其转换成这样的东西:

  text     sentiment
1 hate     negative
2 forget   negative
3 poor     negative
4 enjoyed  positive
5 famous   positive
6 helpful  positive
7 kind     positive

Appreciate your kind help. 感谢您的帮助。

How about something like: 怎么样:

df0 <- data.frame(
  negative = c("", "hate", "forget,poor", "hate"),
  positive = c("enjoyed", "famous,helpful", "", "enjoyed, kind"), 
  stringsAsFactors = FALSE
)

values <- sapply(df0, function(x) unique(trimws(unlist(strsplit(x, ",")))))

df1 <- data.frame(
  text = unlist(values),
  sentiment = rep(c("negative", "positive"), lengths(values)), 
  row.names = NULL
)
df1

note that I used stringsAsFactors = FALSE , if your variables are factors you'll have to convert them to strings first. 请注意,我使用stringsAsFactors = FALSE ,如果变量是因素,则必须首先将其转换为字符串。

You could try something like this: 您可以尝试这样的事情:

# create testdat
test_data <- data.frame(negative = c("", "hate", "forget, poor", "hate"), positive = c("enjoyed", "famous, helpful", "", "enjoyed, kind"), stringsAsFactors = F)

#extract positive and negative colum and split along ", "
neg <- unique(unlist(strsplit(test_data$negative, ", ")))
pos <- unique(unlist(strsplit(test_data$positive, ", ")))

# combine neg and positive into a dataframe and add the sentiment column
combined <- data.frame(text = c(pos, neg), sentiment = c(rep("positive", length(pos)), rep("negative", length(neg))))

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