Weighted linear regression with Scikit-learn python -

my data:

state           n           var1            var2 alabama         23          54              42 alaska          4           53              53 arizona         53          75              65 

var1 , var2 aggregated percentage values @ state level. n number of participants in each state. run linear regression between var1 , var2 consideration of n weight sklearn in python 2.7.

the general line is:

fit(x, y[, sample_weight]) 

say data loaded df using pandas , n becomes df["n"], fit data following line or need process n somehow before using "sample_weight" in command?

fit(df["var1"], df["var2"], sample_weight=df["n"])