Multiply rows with same values in Pandas

Timo Vossen :

For a college project I'm working with the Johns Hopkins Coronavirus COVID-19 dataset: https://github.com/CSSEGISandData/COVID-19. What I am trying is to make the dataset more simple. This is how I have the dataset now:

        Country         Date        Confirmed   Deaths  Recovered
2600    Mainland China  2020-02-28  410.0       7.0     257.0
2601    Iran            2020-02-28  388.0       34.0    73.0
2602    Mainland China  2020-02-28  337.0       3.0     279.0
2603    Mainland China  2020-02-28  318.0       6.0     277.0
2604    Mainland China  2020-02-28  296.0       1.0     235.0
...     ...             ...         ...         ...     ...
2695    US              2020-02-25  1.0         0.0     1.0
2696    US              2020-02-24  0.0         0.0     0.0
2697    US              2020-02-24  0.0         0.0     0.0
2698    US              2020-02-24  0.0         0.0     0.0
2699    Mainland China  2020-02-29  66337.0     2727.0  28993.0

I want multiply all the Confirmed, Deaths and Recovered values of rows if the value in Country and Date are the same.

So for instance in the rows 2600, 2602, 2603, 2604 the values in the columns Country and Date are the same so I want to combine these rows and multiply the Confirmed, Deaths and Recovered sepperatly. Which will give the following row:

 2600    Mainland China  2020-02-28  1361.0       17.0     1048.0

What I have so far:

duplicateRowsDF = df[df.duplicated(['Country', 'Date'])]
duplicateRowsDF

Hope somebody can help me out, preferably with, but not limited to, Pandas. Thanks in advance.

sergiomahi :

What about using groupby? If you do this:

df.groupby(by=['Country', 'Date']).sum() 

All your rows with same country and date will be grouped into only one column with the sum of all values in each column.