newdf = df.copy()
Data = newdf.groupby('Data')
newdf[np.abs(newdf.Data-newdf.Data.mean())<=(3*newdf.Data.std())]
newdf['Outlier'] = Data.transform( lambda x: abs(x-x.mean()) > 1.96*x.std() )