我正在用python编写代码以从yelp api中提取评论数，价格，评分等信息。但是我收到一个值错误
def get_business_id(business):
#import pdb; pdb.set_trace()
try:
business_id = search_matches(API_KEY, business)
b_id = business_id['businesses'][0]['id']
except:
b_id = 'None'
return b_id
df=pd.read_csv("ABC_sample10.csv", encoding='cp1252')
df['zip_code']=df['zip_code'].apply(str)
df1 = df.to_dict(orient='record')
length = len(df1)
input_range = list(range(0, length))
def id_loop(df1):
empty = []
for i in input_range:
business_id = get_business_id(df1[i])
empty.append(business_id)
return empty
a = id_loop(df1)
def get_details(business_id):
empty_claimed = []
empty_review = []
empty_rating = []
empty_price = []
for i in input_range:
business_detail = get_business(API_KEY,business_id[i])
try:
claimed_ind1 = business_detail['is_claimed']
review_count_ind1 = business_detail['review_count']
rated_ind1 = business_detail['rating']
priced_ind1 = business_detail['price']
except:
claimed_ind1 = 'None'
review_count_ind1 = 'None'
rated_ind1 = 'None'
priced_ind1 ='None'
empty_claimed.append(claimed_ind1)
empty_review.append(review_count_ind1)
empty_review.append(rated_ind1)
empty_review.append(priced_ind1)
return empty_claimed, empty_review,empty_rating,empty_price
b = get_details(a)
df['yelp_id']=a
df['claimed']=b[0]
df['review_count']=b[1]
df['rating']=b[2]
df['price']=b[3]
df.to_csv('sample10_ABCOutput8.csv')
我得到的错误是：
回溯（最近通话最近一次）：
文件“”，行179，在 df ['review_count'] = b [1]
文件 “ C：\ Users \ rthuria \ AppData \ Local \ Continuum \ miniconda3 \ envs \ PythonData \ lib \ site-packages \ pandas \ core \ frame.py”， 第3116行，位于设置中 self._set_item（键，值）
文件 “ C：\ Users \ rthuria \ AppData \ Local \ Continuum \ miniconda3 \ envs \ PythonData \ lib \ site-packages \ pandas \ core \ frame.py”， _set_item中的第3191行 值= self._sanitize_column（键，值）
文件 “ C：\ Users \ rthuria \ AppData \ Local \ Continuum \ miniconda3 \ envs \ PythonData \ lib \ site-packages \ pandas \ core \ frame.py”， _sanitize_column中的第3388行 value = _sanitize_index（value，self.index，copy = False）
文件 “ C：\ Users \ rthuria \ AppData \ Local \ Continuum \ miniconda3 \ envs \ PythonData \ lib \ site-packages \ pandas \ core \ series.py”， _sanitize_index中的第3998行 引发ValueError（'值的长度与''index'的长度不匹配）
ValueError：值的长度与索引的长度不匹配