sparkR读取csv文件 The general method for creating SparkDataFrames from data sources is read.df. This method takes in the path for the file to load and the type of data source, and the currently active SparkSession will be used automatically. SparkR suppo
最近做了一个Upload文件的需求,文件的格式为CSV,读取文件的方法整理了一下,如下: 1.先写了一个读取CSV文件的Function: '读取CSV文件 '假设传入的参数strFile=C:\Documents and Settings\Administrator\桌面\TPA_Report1 - 副本.CSV Public Function Read_CSVFile(strFile As String) As ADODB.Recordset Dim rs As ADODB.Recordse
import com.univocity.parsers.csv.CsvFormat;import com.univocity.parsers.csv.CsvParser;import com.univocity.parsers.csv.CsvParserSettings;import com.univocity.parsers.csv.CsvWriter;import com.univocity.parsers.csv.CsvWriterSettings; 创建csv文件: public st
# -*- coding: utf-8 -*- #python 27 #xiaodeng #读取CSV文件(reader和DictReader2个方法) import csv #csv文件,是一种常用的文本格式,用以存储表格数据,很多程序在处理数据时会遇到csv格式文件 files=open('test.csv','rb') #方法一:按行读取,返回的是一个迭代对象 ''' reader=csv.reader(files) for line in reader: print line ''' p