python - Various ways to assign multiple columns to existing pandas dataframe -

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i have 3 lists of numerical values:

jac = [0.66,0.8,0.2,0.5,0.3] sor = [0.8,0.8,0.2,0.5,0.7] diff = [1,0.8,0.2,0.5,0.5]

and existing pandas dataframe (df):

   ham 0  0.5 1  0.6 2  0.6 3  0.7 4  0.9

the following solution

df.assign(diff=diffl).assign(sor=sor).assign(jac=jac)

what various ways append these lists in 1 shot ?

you can this: 

df.assign(diff=diffl,sor=sor,jac=jac)




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