How to iterate over columns of pandas dataframe to run regression

Question

I\'m sure this is simple, but as a complete newbie to python, I\'m having trouble figuring out how to iterate over variables in a pandas dataframe and run a regress

Answer 1

Based on the accepted answer, if an index corresponding to each column is also desired:

for i, column in enumerate(df):
    print i, df[column]

The above df[column] type is Series, which can simply be converted into numpy ndarrays:

for i, column in enumerate(df):
    print i, np.asarray(df[column])