I have two dataframes as follows.
1) DF 1 (result extracted from running SQL query on dataset '20200602')
It is 2 rows x 3 columns (the 1ist row is essentially the header)
0 subject test_score
1 math 90
2) DF2 is an existing dataframe which is currently indexed by date.
It is 3 rows x 0 column
2020/06/01
2020/06/02
2020/06/03
So essentially I want to merge DF1 into DF2 in the specific row 2 because DF1 reflects data from 2020/06/02. The final output should:
subject test_score
2020/06/01
2020/06/02 math 90
2020/06/03
Additional question: what if I have one more row for English test score in DF1 which looks like:
0 subject test_score
1 math 90
2 eng 85
So that the final output should be (1st index =date, 2nd index = subject):
test_score
2020/06/01
2020/06/02 math 90
2020/06/02 eng 85
2020/06/03
Any advice on how I should do so in the coding?
Much appreciated your help.
1) DF 1 (result extracted from running SQL query on dataset '20200602')
It is 2 rows x 3 columns (the 1ist row is essentially the header)
0 subject test_score
1 math 90
2) DF2 is an existing dataframe which is currently indexed by date.
It is 3 rows x 0 column
2020/06/01
2020/06/02
2020/06/03
So essentially I want to merge DF1 into DF2 in the specific row 2 because DF1 reflects data from 2020/06/02. The final output should:
subject test_score
2020/06/01
2020/06/02 math 90
2020/06/03
Additional question: what if I have one more row for English test score in DF1 which looks like:
0 subject test_score
1 math 90
2 eng 85
So that the final output should be (1st index =date, 2nd index = subject):
test_score
2020/06/01
2020/06/02 math 90
2020/06/02 eng 85
2020/06/03
Any advice on how I should do so in the coding?
Much appreciated your help.