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

I had the same question, but for a more general case where it was hard to tell if the function would generate an exception (i.e. you couldn't explicitly check this condition with something as straightforward as isdigit).

After thinking about it for a while, I came up with the solution of embedding the try/except syntax in a separate function. I'm posting a toy example in case it helps anyone.

import pandas as pd
import numpy as np

x=pd.DataFrame(np.array([['a','a'], [1,2]]))

def augment(x):
    try:
        return int(x)+1
    except:
        return 'error:' + str(x)

x[0].apply(lambda x: augment(x))