Regression by group in python pandas
I am not sure about the type of regression you need, but this is how you do an OLS (Ordinary least squares):
import pandas as pdimport statsmodels.api as sm def regress(data, yvar, xvars): Y = data[yvar] X = data[xvars] X['intercept'] = 1. result = sm.OLS(Y, X).fit() return result.params#This is what you needdf.groupby('Group').apply(regress, 'Y', ['X'])You can define your regression function and pass parameters to it as mentioned.