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python Csv.rEADEr

reader = csv.reader(open('E:/BigData/tianchi_mobile_recommend_train_user.csv','r+')) \t是制表符,直接用/代表\避免 出现 "\t" "\n"这样的转 义符

用pandas库, import pandas as pddata = pd.read_csv('train.csv')train_data = data.values[0:TRAIN_NUM,1:]train_label = data.values[0:TRAIN_NUM,0] study.163.com/course/courseMain.htm?courseId=1000035 机器学习正好讲了这个手写识别的...

import csv with open('1.csv') as f: r = csv.reader(f) for i in r: if '999999' in i: pass else: print(i) 以上python3代码,1.csv为你的文件名。居然不能缩进?自己缩进吧,应该看的出来吧

import csvwith open('eggs.csv', newline='') as csvfile: spamreader = csv.reader(csvfile, delimiter=',', quotechar=',') for row in spamreader: print(', '.join(row))

思路如下: 导入csv库; 打开文件,并用csv库函数reader读入数据; csv读入的数据是一行一行的,所以通过循环语句把读到的数据放入到数组里 import csv # 必要库导入filepath = 'test.csv' # 定义文件名称,本文件要与当前的.py文件要在同一文件...

这两天刚好看到,Python CookBook上有说到。这里是三种读取csv的方法。 文件格式是这样的 Region,DATE_,RAW_ACU zh_ch,Jan 27 2017,208172 import csvfrom collections import namedtuple # with open('data.csv') as f:# f_csv = csv.reader(f)...

这两天刚好看到,Python CookBook上有说到。这里是三种读取csv的方法。 文件格式是这样的 Region,DATE_,RAW_ACU zh_ch,Jan 27 2017,208172 import csvfrom collections import namedtuple# with open('data.csv') as f:# f_csv = csv.reader(f)#...

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...

csv是Comma-Separated Values的缩写,是用文本文件形式储存的表格数据,比如如下的表格: 就可以存储为csv文件,文件内容是: No.,Name,Age,Score 1,mayi,18,99 2,jack,21,89 3,tom,25,95 4,rain,19,80 假设上述csv文件保存为"test.csv" 1.读文...

import StringIO import zipfile filehandle = open("D:/ABC.zip", 'rb') zfile = zipfile.ZipFile(filehandle) data = StringIO.StringIO(zfile.read(zfile .namelist()[0])) reader = csv.reader(data) 在zipfile文档中看了ZipFile对象的read...

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