Iterating through two separate panda data frames via for loop in python? -


i have 2 panda data frames:

df1    df2 1      5 4      4 3      2

i want create list such data frames concatenated colon:

1:5, 4:4, 3:2

help previous question shows can do:

["{}:{}".format(a, a) in df1]

which makes list 1:1, 4:4, 3:3, how do this:

["{}:{}".format(a, b) a, b in df1, df2]

to create desired result above?

something this?

df1 = pd.dataframe({"df1":[1,4,3]}) df2 = pd.dataframe({"df2":[5,4,2]})  ["{}:{}".format(a, b) a, b in zip(df1.df1, df2.df2)] ['1:5', '4:4', '3:2']

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