I have a data series which looks like this:
print mys id_L1 2 NaN 3 NaN 4 NaN 5 NaN 6 NaN 7 NaN 8 NaN
Yes, that's correct, but I think a more idiomatic way would be:
mys.isnull().all()
This will check for all columns..
mys.isnull().values.all(axis=0)