将数据追加到数据框中

Question

他们告诉我这些错误 ValueError: All arrays must be of the same length 我怎样才能解决这些错误任何给我解决这些问题的人我正在尝试很多方法但我无法解决这些错误所以我该如何处理这些错误数组不一样

import enum
import requests
from bs4 import BeautifulSoup
import json
import pandas as pd 

url="https://www.fleetpride.com/parts/otr-coiled-air-hose-otr6818"
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.3"
}
r = requests.get(url)
soup = BeautifulSoup(r.content, "html5lib")
raw_json = ""
for table_index,table in enumerate( soup.find_all("script")):
    if('CCRZ.detailData.jsonProductData = {"' in str(table)):
        x=str(table).split('CCRZ.detailData.jsonProductData = {"')
        raw_json = "{\""+str(x[-1]).split('};')[0]+"}"
        break
           
req_json = json.loads(raw_json)
# with open("text_json.json","w")as file:
#     x=json.dump(req_json,file,indent=4)

temp = req_json

name=[]
specs=[]


title=temp['product']['prodBean']['name']
name.append(title)


item=temp['specifications']['MARKETING']
for i in item:
    try:
        get=i['value']
    except:
        pass

    specs.append(get)


temp={'title':name,'Specification':specs}
df=pd.DataFrame(temp)
print(df)

Answer 1

虽然错误很明显，但问题和预期结果却不是。

您尝试创建 DataFrame 的方式必须处理丢失的行，这就是出现错误的原因。要解决此问题，您可以从 dict:

创建 DataFrame

pd.DataFrame.from_dict(temp, orient='index')

但是看起来很丑而且以后处理不好，所以替代方案是：

data = [{
    'title':temp['product']['prodBean']['name'],
    'specs':','.join([s.get('value') for s in temp['specifications']['MARKETING']])
}]
pd.DataFrame(data)

如果您希望每个规格都在一个新行中，请执行以下操作：

data = {
    'title':temp['product']['prodBean']['name'],
    'specs':[s.get('value') for s in temp['specifications']['MARKETING']]
}

pd.DataFrame.from_dict(data)

例子

import enum
import requests
from bs4 import BeautifulSoup
import json
import pandas as pd 

url="https://www.fleetpride.com/parts/otr-coiled-air-hose-otr6818"
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.3"
}
r = requests.get(url)
soup = BeautifulSoup(r.content, "html5lib")
raw_json = ""
for table_index,table in enumerate( soup.find_all("script")):
    if('CCRZ.detailData.jsonProductData = {"' in str(table)):
        x=str(table).split('CCRZ.detailData.jsonProductData = {"')
        raw_json = "{\""+str(x[-1]).split('};')[0]+"}"
        break

temp = json.loads(raw_json)

data = [{
    'title':temp['product']['prodBean']['name'],
    'specs':','.join([s.get('value') for s in temp['specifications']['MARKETING']])
}]

pd.DataFrame(data)

输出

	title	specs
0	OTR Trailer Air Hose and Electric Cable Assembly, 15'	Spiral wound,Includes hang collar,One bundle for easy management

将数据追加到数据框中

Append data into data frame

json

pandas

dataframe

web-scraping

beautifulsoup

例子

输出