I trying to concat in python the following datasets:
df1:
class, cvss, cwe, description, line, reccomandation, vul_id
a.class cvss1 cwe1, desc1, l1, rec1, vul1
df2:
Title,NTimes,Synopsis,Description,Solution,Risk Factor,CVSS Temporal Score
tit1, nt1 syn1 desc2 sol1 risk1 cvss2
tit2, nt2 syn2 desc3 sol2 risk2 cvss3
I want to append the information of the columns df1.cwe,df1.description, df1.cvss with df2.Title, df2.Description and df2.CVSS Temporal Score to obtains the following situation:
class, line,reccomandation,vul_id,Title,NTimes,Synopsis,Description,Solution,Risk Factor,CVSS Temporal Score
a.class l1 rec1 vul1 cwe1, desc1 cvss1
tit1 nt1 syn1 desc2 sol1 risk1 cvss2
tit2 nt2 syn2 desc3 sol2 risk2 cvss3
I have tried using merge but without success using the follow code:
res= pd.merge(df1,df2 left_on=['cwe','description','cvss'],right_on=['Title','Description','CVSS Temporal Score'])
Just use the following approach:
#create new empty data frame
df = pd.DataFrame()
#add the columns from df1 to df
df['cwe']=df1['cwe']
#add the rest of the columns from df1 to df as above
#add the columns from df2 to df
df['title']=df1['title']
#add the rest of the columns from df2 to df as above
#view the new dataframe
df
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