Kaggle competition: Predicting Molecular Properties
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one = pd.read_csv('.. /input/champs-blending-tutorial/1.csv')
 two = pd.read_csv('.. /input/champs-blending-tutorial/2.csv')
 three = pd.read_csv('.. /input/champs-blending-tutorial/3.csv')
 four = pd.read_csv('.. /input/otherkernelsadded/submission-2.csv')
 five = pd.read_csv('.. /input/otherkernelsadded/submission-giba-1.csv')
 six = pd.read_csv('.. /input/otherkernelsadded/workingsubmission-test.csv')
 seven = pd.read_csv('.. /input/otherkernelsadded/LGB_2019-07-18_-1.2243.csv')
 submission = pd.DataFrame()
submission['id'] = one.id
submission['scalar_coupling_constant'] =(0.40*one.scalar_coupling_constant)+ \ 
(0.29*two.scalar_coupling_constant)+ \ 
(0.19*three.scalar_coupling_constant)+ \ 
(0.04*five.scalar_coupling_constant)+ \ 
(0.04*six.scalar_coupling_constant)+ \ 
(0.04*seven.scalar_coupling_constant)
 submission.to_csv('my_blend_1.csv', index=False )