Python 如何合并这两个数据帧？

我被困在这里，因为我已经为这两个数据帧创建了一个列表。我有两个表，每个表有两列。第一个表有product_name和brand列，第二个表有product_name和shipping列。我正在尝试一对一的连接，这样我就可以在一个表上有三列。它给了我一个错误：KeyError:“shipping”

from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
import pandas as pd
from collections import defaultdict
import re

url='https://www.newegg.com/PS4-Video-Games/SubCategory/ID-3141'

with uReq(url) as uClient:
    page = uClient.read()

# parsing
page_soup = soup(page, "html.parser")

# grabs products
containers= page_soup.findAll("div",{"class":"item-container"})

# file
filename = "products.csv"

d = defaultdict(list)
d1 = defaultdict(list)

# fill dict
for container in containers:
    brand = container.div.div.a.img["title"]

    title = container.findAll("a", {"class":"item-title"})
    product_name = title[0].text

    shipping_container = container.findAll("li", {"class":"price-ship"})
    shipping = shipping_container[0].text.strip()
    
    d['brand'].append(brand)
    d['product'].append(product_name)
    d1['product'].append(product_name)
    d1['shipping'].append(shipping)
    
# create dataframe    
df = pd.DataFrame(d)
df1 =pd.DataFrame(d1)



# clean shipping column
df['shipping'] = df['shipping'].apply(lambda x: 0 if x == 'Free Shipping' else x)
df['shipping'] = df['shipping'].apply(lambda x: 0 if x == 'Special Shipping' else x) # probably should be handled in a special way
df['shipping'] = df['shipping'].apply(lambda x: x if x == 0 else re.sub("[^0-9]", "", x))
df['shipping'] = df['shipping'].astype(float)

# save dataframe to csv file
df.to_csv('dataframe.csv', index=False)
df1.to_csv('dataframe1.csv', index=False)
# choose rows where shipping is less than 5.99
#print(df[df['shipping'] > 200])
    
#merge two data sets 
df3 = pd.merge(df,df1)
print(df3)

使用以下命令：

df3 = df.merge(df1, on="product", how="left")

---

根据您的喜好，您可以使用

how='internal'

或

how='outer'

。

不太可能。当我运行编译器时，会显示三列，但只显示产品和品牌，而不显示发货。不是品牌数据，而是每行都有点。。。Brand_y 0我们的最后一部分第二部分-PlayStation 4。。。PlayStation 1《我们的最后一个》第二部分-PlayStation 4。。。PlayStation`。我收到了这些，但没有收到发货单