Exception Handling in Pandas .apply() function

Question

If I have a DataFrame:

myDF = DataFrame(data=[[11,11],[22,\'2A\'],[33,33]], columns = [\'A\',\'B\'])

Gives the following dataframe (Starting ou

Answer 1

A way to achieve that with lambda:

myDF['B'].apply(lambda x: int(x) if str(x).isdigit() else None)

For your input:

>>> myDF
    A   B
0  11  11
1  22  2A
2  33  33

[3 rows x 2 columns]

---

>>> myDF['B'].apply(lambda x: int(x) if str(x).isdigit() else None)
0    11
1   NaN
2    33
Name: B, dtype: float64