new_movies.csv 代码 # -*- coding: utf-8 -*-importjsonimportpandasaspd# 所需列名和新老列名映射关系columns_json_str ='{"name":"NEW_NAME","src":"NEW_SRC"}'columns_dict = json.loads(columns_json_str)# 读取本地文件dataset = pd.read_csv('movies.csv', header=0, encoding='utf-8', ...
new_movies.csv 代码 # -*- coding: utf-8 -*-importjsonimportpandasaspd# 所需列名和新老列名映射关系columns_json_str ='{"name":"NEW_NAME","src":"NEW_SRC"}'columns_dict = json.loads(columns_json_str)# 读取本地文件dataset = pd.read_csv('movies.csv', header=0, encoding='utf-8', ...
python利⽤pyspark读取HDFS中CSV⽂件的指定列列名重命名并保存回HDFS 需求 读取HDFS中CSV⽂件的指定列,并对列进⾏重命名,并保存回HDFS中 原数据展⽰ movies.csv 操作后数据展⽰ 注:write.format()⽀持输出的格式有 JSON、parquet、JDBC、orc、csv、text等⽂件格式 save()定义保存的位置,当我们...
spark.conf.set("spark.sql.execution.arrow.enabled","true")# 读取本地或HDFS上的文件【.load('hdfs://192.168.3.9:8020/input/movies.csv')】df = spark.read.format('com.databricks.spark.csv').options(header='true', inferschema='true').load('hdfs://192.168.3.9:8020/input/movies.csv')print...