Replace and Append is not working in Dataframe

Question

How to append value with replace value in column no2, and i tried like appending my existing value with replace value, but not working.

import pandas as pd
    
df=pd.DataFrame({'no1':[20,20,40,10,50],
                 'no2':[123,20,123,40,50],
                 'no3':[30,10,50,40,50]})
lookup=pd.DataFrame({'Name':['A','B','C','D','E'],
                     'id':[123,20,30,40,50]})
df['no2']+str(df['no2'].replace(dict(zip(lookup.id, lookup.Name)), inplace =True))
df

the output i am getting-

no1 no2 no3
0   20  A   30
1   20  B   10
2   40  A   50
3   10  D   40
4   50  E   50

but i need output like this- - (appending my existing value of no2 with lookup value)

    no1 no2    no3
0   20  123-A   30
1   20  20-B    10
2   40  123-A   50
3   10  40-D    40
4   50  50-E    50

Answer 1

try via replace() :

df['no2']=df['no2'].astype(str)+'-'+df['no2'].replace(dict(lookup[['id','Name']].values))

OR

try via map() :

df['no2']=df['no2'].astype(str)+'-'+df['no2'].map(dict(lookup[['id','Name']].values))

Note:

#you can also replace this code:
dict(lookup[['id','Name']].values)
#to:
lookup.set_index('id')['Name']

Answer 2

试试这个：

df['no2'] = df['no2'] + '-' + lookup['id']