如何删除“ . ”从Spark DataFrame列名？
DataFrame.select(F.col().alias()) 方法重命名其中包含"."的列名会引发错误 .
以下代码是可重现的 .
# import Spark libraries, configuration, Contexts, and types.
import pyspark
from pyspark.sql import SparkSession
import pyspark.sql.functions as F
#############
# Start Spark.
spark = SparkSession.builder.appName("test").getOrCreate()
testdf = spark.createDataFrame([
(1, "Julie", "CEO"),
(2, "Janice", "CFO"),
(3, "Jake", "CTO")],
["ID", "First Name", "Title Initial."])
# this works just fine.
testdf.select(F.col('First Name').alias('first_name')).show(3)
# This throws an error.
testdf.select(F.col('Title Initial.').alias('title')).show(3)
错误：
AnalysisException: u'syntax error in attribute name: Title Initial.;'
更改具有“ . ”的DataFrame列名称的替代方法是什么？在他们中？
1 回答
使用 ``` 环绕列名称