Impute Pandas dataframe column with value from another row based on ID column

df:

id   name 
0    toto                    
1    tata
0    NaN

I would like to impute the name column missing value on the third row based on the id.
The desired dataframe would be:

id   name 
0    toto                    
1    tata
0    toto

I did the following:

df.loc[df.name.isna(), "name"] = df["id"].map(df["name"])

but it is not working.

>Solution :

import pandas as pd
df = pd.DataFrame({'id':[0,1,0],
              'name':['toto','tata',pd.NA]})

df = df[['id']].merge(df[pd.notna(df['name'])],
                      how = 'left', 
                      on = 'id')
df