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', ...
inferschema='true').load('hdfs://192.168.3.9:8020/input/movies.csv')print(df.dtypes)# 将spark.dataFrame转为pandas.DataFrame,在此处选取指定的列df = pd.DataFrame
3,2,1 用pandas.read读取以后,第一行自动被识别为columns,造成数据出错 1 2 3 0 2 1 3 1 3 2 1 有没有什么命令可以添加自定义的columns的名字,比如我想命名为 A, B, C三列,该怎么操作呢? pd.read_csv(file,header=None, names=['a','b','c'])...