scala - 如何在最后一个点之后对列名进行子串化? [英] scala - how to substring column names after the last dot?
问题描述
在分解嵌套结构后,我有一个列名如下的 DataFrame:
After exploding a nested structure I have a DataFrame with column names like this:
sales_data.metric1
sales_data.type.metric2
sales_data.type3.metric3
执行选择时出现错误:
cannot resolve 'sales_data.metric1' given input columns: [sales_data.metric1, sales_data.type.metric2, sales_data.type3.metric3]
我应该如何从 DataFrame 中进行选择,以便正确解析列名?
How should I select from the DataFrame so the column names are parsed correctly?
我尝试了以下方法:成功提取点后的子字符串.但是因为我也有像 date
这样没有点的列 - 它们的名字被完全删除了.
I've tried the following: the substrings after dots are extracted successfully. But since I also have columns without dots like date
- their names are getting removed completely.
var salesDf_new = salesDf
for(col <- salesDf .columns){
salesDf_new = salesDf_new.withColumnRenamed(col, StringUtils.substringAfterLast(col, "."))
}
我只想留下 metric1, metric2, metric3
I want to leave just metric1, metric2, metric3
推荐答案
您可以使用反引号来选择名称中包含句点的列.
You can use backticks to select columns whose names include periods.
val df = (1 to 1000).toDF("column.a.b")
df.printSchema
// root
// |-- column.a.b: integer (nullable = false)
df.select("`column.a.b`")
此外,您可以像这样轻松地重命名它们.基本上从您当前的 DataFrame 开始,使用每个字段的新列名不断更新它并返回最终结果.
Also, you can rename them easily like this. Basically starting with your current DataFrame, keep updating it with a new column name for each field and return the final result.
val df2 = df.columns.foldLeft(df)(
(myDF, col) => myDF.withColumnRenamed(col, col.replace(".", "_"))
)
获取最后一个组件
要仅使用姓氏组件重命名,此正则表达式将起作用:
To rename with just the last name component, this regex will work:
val df2 = df.columns.foldLeft(df)(
(myDF, col) => myDF.withColumnRenamed(col, col.replaceAll(".+\\.([^.]+)$", "$1"))
)
编辑 2:获取最后两个组件
这有点复杂,可能有更简洁的写法,但这里有一种有效的方法:
This is a little more complicated, and there might be a cleaner way to write this, but here is a way that works:
val pattern = (
".*?" + // Lazy match leading chars so we ignore that bits we don't want
"([^.]+\\.)?" + // Optional 2nd to last group
"([^.]+)$" // Last group
)
val df2 = df.columns.foldLeft(df)(
(myDF, col) => myDF.withColumnRenamed(col, col.replaceAll(pattern, "$1$2"))
)
df2.printSchema
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