How to split pandas some of data frame rows that are not lists?

Question

Is there a way to change this data frame:

40  4.5         95
41  1.76        95
112 0.17/0.43   >95/>95

to this using pandas:

40  4.5         95
41  1.76        95
112 0.17        95
112 0.43        95

This is the pandas dataframe:

    a   b
19  560 80
40  4.5 95
41  1.76    95
112 0.17/0.43   >95/>95
154 7.2/1   >95/>95
... ... ...
2991    55  95
2992    33  95
3887    6.1 87.7
3893    3.9 70.3
3908    100 40
216 rows × 2 columns

Answer 1

I would use explode :

df = df.apply(lambda x: x.astype(str).str.split('/').explode(ignore_index=True))