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python Csv rEADlinE

class DBI(object): """database interface""" def __init__(self, conn): """keep connection""" self._conn = conn def store(self, sql, data): """store data into database with given sql""" curr = self._conn.cursor() curr.executemany...

对于大块头的文件,不能一次性地读入然后处理,而要边读入边处理:f=open('e:/python27/name_.txt','r')while True:line=f.readline()if line=='':breakprint(line,end='')list1=line.split('\n')list1=list1[0].split(',')print(list1)f.close()

#打开数据文件 infile = open("data.csv", 'r') names = infile.readline() names = names.rstrip().split(',') del names[0] #删除第一行0列空字符 myset = {} for name in names: myset[name] = {} for line in infile: line = line.rstrip()....

python2下: 1234 # -*- coding: utf-8 -*- import pandas as pdmydata = pd.read_csv(u"例子.csv") #前面加u,第一行的编码必须utf-8 原本以为这一点python3和python2是一样的,其实不一样! python3下: 1234567 # -*- coding: utf-8 -*- impo...

import csvreader = csv.reader(file('name.csv', 'rb'))for line in reader: print line#这个reader 读出来就是一个列表

import csvwith open('1.csv', 'r') as csvfile: data = csvfile.readlines()total={}for d in data: _,k,v=d.split(',') if total.get(k) != None: total[k]+=int(v) else: total[k]=int(v) for k,v in total.items(): print(k,'\t',v)

csv文件本质上是一个文本文件,具体的读取和写入方法有两种: 直接对csv文件进行文件读写操作,每一行是一条记录,按行读取即可,简单代码如下: with open("XXX.csv","wr") as f: f.readline() f.write() 2.使用第三方库中的csv文件读写函数(...

你这里有2个问题 1. 用csvfile.readlines() 2.你取的targetLine是一个字符串,需要进行分割 具体代码如下,测试通过,请采纳^_^ # coding=utf8 with open("C:\\test.csv") as csvfile: mLines = csvfile.readlines() targetLine = mLines[-1] a=...

csv文件 name,agefjp,25gxl,26yc,26zjw,25脚本文件: # coding:utf-8import pandas as pd# 读取csv文件f = pd.read_csv('Test.csv', sep=',')# 3-5行,列名为nameres = f.loc[3:5, ['name']]# 写入csv文件res.to_csv('123.csv', sep=',', index=T...

假设你这里是一个大文件。用CSV缺省配置不能读大文件。我们自己写一个。 def readfile(fn): fp=open(fp,'rb') while True: line=fp.readline() if not line:break line=line.strip() yield line.split(',') fp.close() import os,sys,time,glob ...

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