Populate values in a dataframe based on matching row and column of another dataframe

Question

I have two data-frames and I want to populate new column values in data-frame1 based on matching Zipcode and date from another data-frame2. The sample input and desired output are given below. The date formats are not the same. Dataframe 1 has more than 100k records and data-frame2 has columns for every month.

Any suggestions would be of great help since I am a newbie to python.

Answer 1

you are looking for pd.merge . Here is an example which shows how you can use it.

df1 = pd.DataFrame({'x1': [1, 2, 3, 4, 5, 6],
                'y': ['a', 'b', 'c', 'd', 'e', 'f']})

df2 = pd.DataFrame({'x2': [1, 2, 3, 4, 5, 6],
                    'y': ['h', 'i', 'j', 'k', 'l', 'm']})

pd.merge(df1, df2, left_on='x1', right_on='x2')