我试图从字典中创建一个pandas数据帧并且我不断收到错误：NoneType'对象没有属性'keys'，并且不知道如何解决这个问题。下面是我的代码和一些测试数据。我确定它缺少了一些愚蠢的东西。
代码：
import pandas as pd
import numpy as np
def grab_next_entry(food_file):
record={'id':-1,'helpfulness':'','number rated':'','score':'','review':''}
line=food_file.readline()
#food_dataframe=pd.DataFrame(columns=column_names)
while line:
if 'product/productId' in line:
split_product_id=line.split(':')
record['id']=split_product_id[1]
if 'review/helpfulness' in line:
split_helpfulness=line.split(':')
split_helpfulness=split_helpfulness[1].split('/')
record['helpfulness']=eval(split_helpfulness[0])
record['number rated']=eval(split_helpfulness[-1])
if 'review/score' in line:
split_score = line.split(':')
record['score']=eval(split_score[1])
if 'review/text' in line:
split_review_text=line.split('review/text:')
record['review']=split_review_text[1:]
if line=='\n':
return record
line=food_file.readline()
第一部分代码结束 致电代码：
import os
fileLoc = "/Users/brawdyll/Documents/ds710fall2017assignment11/finefoods_test.txt"
column_names=('Product ID', 'People who voted Helpful','Total votes','Rating','Review')
food_dataframe=[]
data=[]
with open(fileLoc,encoding = "ISO 8859-1") as food_file:
fs=os.fstat(food_file.fileno()).st_size
num_read = 0
while not food_file.tell()==fs:
data.append(grab_next_entry(food_file))
num_read+=1
food_dataframe=pd.DataFrame(data)
print(food_dataframe)
测试输入
product/productId: B001E4KFG0
review/userId: A3SGXH7AUHU8GW
review/profileName: delmartian
review/helpfulness: 1/1
review/score: 5.0
review/time: 1303862400
review/summary: Good Quality Dog Food
review/text: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
product/productId: B00813GRG4
review/userId: A1D87F6ZCVE5NK
review/profileName: dll pa
review/helpfulness: 0/0
review/score: 1.0
review/time: 1346976000
review/summary: Not as Advertised
review/text: Product arrived labeled as Jumbo Salted Peanuts...the peanuts were actually small sized unsalted. Not sure if this was an error or if the vendor intended to represent the product as "Jumbo".