convert yyyyqq to pandas date in clean way

I am trying to convert year and quarter to date in pandas. In example below I am trying to get 1980-03-31 for 1980Q1 and so on.

df=pd.DataFrame({'year':['1980','1980','1980','1980'],'qtr':
                 ['Q1','Q2','Q3','Q4']})

scenario['date']=pd.to_datetime(scenario['year']+scenario['qtr'], infer_datetime_format=True)
scenario[['date','year','qtr']]
      date      year    qtr
0   1980-01-01  1980    Q1
1   1980-04-01  1980    Q2
2   1980-07-01  1980    Q3
3   1980-10-01  1980    Q4

>Solution :

are you looking for QuarterEnd offset?

import pandas as pd

df=pd.DataFrame({'year':['1980','1980','1980','1980'],'qtr':
                 ['Q1','Q2','Q3','Q4']})

df['date'] = pd.to_datetime(df['year']+df['qtr']) + pd.tseries.offsets.QuarterEnd()

df[['date','year','qtr']]
        date  year qtr
0 1980-03-31  1980  Q1
1 1980-06-30  1980  Q2
2 1980-09-30  1980  Q3
3 1980-12-31  1980  Q4