Trying to append data to the dataframe but error raises
index contains duplicate entries
I want data in csv file basically they show me error in these line:
df = df.pivot(index=['v1','v2','v3'], columns='image', values='link').reset_index().fillna('')
Code:
import requests
from bs4 import BeautifulSoup
import pandas as pd
baseurl='https://twillmkt.com'
headers ={
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36'
}
r =requests.get('https://twillmkt.com/collections/denim')
soup=BeautifulSoup(r.content, 'html.parser')
tra = soup.find_all('div',class_='ProductItem__Wrapper')
productlinks=[]
for links in tra:
for link in links.find_all('a',href=True)[:1]:
comp=baseurl link['href']
productlinks.append(comp)
data=[]
u=[]
k=[]
w=[]
n=[]
for link in productlinks:
r =requests.get(link,headers=headers)
soup=BeautifulSoup(r.content, 'html.parser')
up = soup.find('div',class_='Product__SlideshowNavScroller')
for e,pro in enumerate(up):
t=pro.find('img').get('src')
data.append({'image':'Image ' str(e) ' UI','link':t})
dup = soup.find_all('div',class_='OptionSelector list-options')
for ro in dup:
m=[k.text.strip() for k in ro.find_all('button')]
variant1=m[0]
variant2=m[1]
variant3=m[2]
data.append({'image':'Image ' str(e) ' UI','link':t,'v1':variant1,'v2':variant2,'v3':variant3})
df = pd.DataFrame(data)
df.image=pd.Categorical(df.image,categories=df.image.unique(),ordered=True)
df = df.pivot(index=['v1','v2','v3'], columns='image', values='link').reset_index().fillna('')
df.to_csv('yt.csv')
```
CodePudding user response:
What happens?
One reason for duplicates is you are appending information to data
you may not need:
data.append({'image':'Image ' str(e) ' UI','link':t})
cause you also append:
data.append({'image':'Image ' str(e) 'UI','link':t,'v1':variant1,'v2':variant2,'v3':variant3})
But main issue is you are using index=['v1','v2','v3']
to build the index, but this is not a combination that is still unique
.
How to fix?
Skip this line
data.append({'image':'Image ' str(e) ' UI','link':t})
Add also the
id
of the productdata.append({'id':t.split('=')[-1],'image':'Image ' str(e) ' UI','link':t,'v1':variant1,'v2':variant2,'v3':variant3})
Use
id
to build a unique indexindex=['id','v1','v2','v3']
Example
import requests
from bs4 import BeautifulSoup
import pandas as pd
baseurl='https://twillmkt.com'
headers ={
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36'
}
r =requests.get('https://twillmkt.com/collections/denim')
soup=BeautifulSoup(r.content, 'html.parser')
tra = soup.find_all('div',class_='ProductItem__Wrapper')
productlinks=[]
for links in tra:
for link in links.find_all('a',href=True)[:1]:
comp=baseurl link['href']
productlinks.append(comp)
data=[]
for link in productlinks:
r =requests.get(link,headers=headers)
soup=BeautifulSoup(r.content, 'html.parser')
up = soup.find('div',class_='Product__SlideshowNavScroller')
for e,pro in enumerate(up):
t=pro.find('img').get('src')
dup = soup.find_all('div',class_='OptionSelector list-options')
for ro in dup:
m=[k.text.strip() for k in ro.find_all('button')]
variant1=m[0]
variant2=m[1]
variant3=m[2]
data.append({'id':t.split('=')[-1],'image':'Image ' str(e) ' UI','link':t,'v1':variant1,'v2':variant2,'v3':variant3})
df = pd.DataFrame(data)
df.image=pd.Categorical(df.image,categories=df.image.unique(),ordered=True)
df = df.pivot(index=['id','v1','v2','v3'], columns='image', values='link').reset_index().fillna('')
df
`