如何在SparkR DataFrame
中一次重命名多个列,而不是多次调用withColumnRenamed()
?例如,假设我想要将下面DataFrame
中的列重命名为name
和birthdays
,如何在不调用两次withColumnRenamed()
的情况下完成此操作?
team <- data.frame(name = c("Thomas", "Bill", "George", "Randall"),
surname = c("Johnson", "Clark", "Williams", "Yosimite"),
dates = c('2017-01-05', '2017-02-23', '2017-03-16', '2017-04-08'))
team <- createDataFrame(team)
team <- withColumnRenamed(team, 'surname', 'name')
team <- withColumnRenamed(team, 'dates', 'birthdays')
发布于 2018-06-14 06:56:11
标准R方法适用于此-您可以简单地重新分配colnames
colnames(team) <- c("name", "name", "birthdays")
team
SparkDataFrame[name:string, name:string, birthdays:string]
如果你知道顺序,你可以跳过完整的列表
colnames(team)[colnames(team) %in% c("surname", "dates")] <- c("name", "birthdays")
不过,您可能希望避免重复的名称。
https://stackoverflow.com/questions/50846155
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