方法一：用pandas辅助
from pyspark import SparkContext from pyspark.sql import SQLContext import pandas as pd sc = SparkContext() sqlContext=SQLContext(sc) df=pd.read_csv(r'game-clicks.csv') sdf=sqlc.createDataFrame(df)
方法二：纯spark
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc = SparkContext()
sqlContext = SQLContext(sc)
sqlContext.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load('game-clicks.csv')
以上这篇pyspark 读取csv文件创建DataFrame的两种方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。