Add blank row to a pandas dataframe after every period

Question

I have a pandas dataframe that is quite similar to this:-

name	status
eric	single
.	0
xavier	couple
sarah	couple
.	0
aaron	divorced
.	0

I would like to add a new row after every period as below:-

name	status
eric	single
.	0
xavier	couple
sarah	couple
.	0
aaron	divorced
.	0

Appreciate any guidance on this!

Answer 1

You can use groupby and apply a concatenation of each group to a dummy row:

(df
 .groupby(df['name'].shift().eq('.').cumsum(), group_keys=False)
 .apply(lambda g: pd.concat([g, pd.DataFrame(index=[0], columns=g.columns)]).fillna(''))
)

output:

     name    status
0    eric    single
1       .         0
0                  
2  xavier    couple
3   sarah    couple
4       .         0
0                  
5   aaron  divorced
6       .         0
0                  

Or extract the rows with . and concat:

df2 = df[df['name'].eq('.')].copy()
df2.loc[:] = ''
pd.concat([df, df2]).sort_index(kind='stable')

output:

     name    status
0    eric    single
1       .         0
1                  
2  xavier    couple
3   sarah    couple
4       .         0
4                  
5   aaron  divorced
6       .         0
6