将python中的dict类型过滤为csv

Question

我在文本文件中设置了这些字典： dataset 1

我在另一个文本文件中也有这些数据集： dataset 2

我的代码：

import csv
#open your output file in append mode

with open('output.csv','a+') as out:
    outwriter = csv.writer(out,dialect='excel')

    #write your headers
    outwriter.writerow(['data','rssi','time'])

    with open("data2.txt") as f:

            #list that holds each row
            csvlines=[]

            #labels you wanna keep
            keep=["u'dataFrame'","u'rssi'","u'timestamp'"]
            lines=f.readlines()

            #split at first : character
            lines = map(lambda x:x.split(':',1),lines)
            for line in lines:
                if line[0].strip() in keep:

                    csvlines.append(line[1].strip())
                #clean from unnecessary characters
                csvlines=map(lambda x:x.replace("u'","").replace("'","").replace(",",""),csvlines)
                #write it to csv and then reset it for the next file.
                if(len(csvlines)==3):
                   print "writing"
                   print csvlines
                   outwriter.writerow(csvlines)
                   csvlines=[]

我的目的是将特定数据过滤到csv文件中，但它适用于我上面显示的第二个样本数据，但不适用于第一个样本数据..看起来它们与我完全相同。为什么第一个不使用此代码？