Pandas - check if ALL values are NaN in Series
if df['col'].count() > 0: then ...This works well but I think it might be quite a slow approach. I made the mistake of embedding this into a 6000-times loop to test four columns - and it's brutal, but I can blame the programmer clearly :)
Obviously, don't be like me. Always: Test your columns for all-null once, set a variable with the yes - "empty" or no - "not empty" result - and then loop.