如果 df2 中不存在列，如何将列从 df1 添加到 df2，否则什么也不做

Question

I have 2 data frame from a basic web scrape using Pandas (below). The second table has less columns than the first, and I need to concat the dataframes. I have been manually inserting columns for a while but seeing as they change frequently I would like to have a function that can assess the columns in df2, check whether they are all in df2, and if not, add the column, with the data from df2.

import pandas as pd 

link = 'https://en.wikipedia.org/wiki/Opinion_polling_for_the_next_French_presidential_election'
df = pd.read_html(link,header=0)

df1 = df[1]
df1 = df1.drop([0])
df1 = df1.drop('Abs.',axis=1)

df2 = df[2]
df2 = df2.drop([0])
df2 = df2.drop(['Abs.'],axis=1)

Many thanks,

Answer 1

@divingTobi's answer:

pd.concat([df1, df2]) does the trick.