How to take advantage of python pandas library to transform my data as follows?
Question:
I have the following data:
I want to transform it as follows:
How to take advantage of python pandas library to do this?
Answers:
you achieve this using the melt command:
df.melt(id_vars=['ID'], value_vars=['2020-01-01', '2020-01-02', '2020-01-03'], var_name='DATE', value_name='AMOUNT', ignore_index=False)
result:
ID DATE AMOUNT
10 2020-01-01 11.0
11 2020-01-01 0.5
12 2020-01-01 15.0
10 2020-01-02 12.0
11 2020-01-02 0.0
12 2020-01-02 15.0
10 2020-01-03 101.0
11 2020-01-03 0.6
12 2020-01-03 15.0
I have the following data:
I want to transform it as follows:
How to take advantage of python pandas library to do this?
you achieve this using the melt command:
df.melt(id_vars=['ID'], value_vars=['2020-01-01', '2020-01-02', '2020-01-03'], var_name='DATE', value_name='AMOUNT', ignore_index=False)
result:
ID DATE AMOUNT
10 2020-01-01 11.0
11 2020-01-01 0.5
12 2020-01-01 15.0
10 2020-01-02 12.0
11 2020-01-02 0.0
12 2020-01-02 15.0
10 2020-01-03 101.0
11 2020-01-03 0.6
12 2020-01-03 15.0