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

You can index dataframe columns by the position using ix.

df1.ix[:,1]

This returns the first column for example. (0 would be the index)

df1.ix[0,]

This returns the first row.

df1.ix[:,1]

This would be the value at the intersection of row 0 and column 1:

df1.ix[0,1]

and so on. So you can enumerate() returns.keys(): and use the number to index the dataframe.