Identify Unique Combinations Of Values In Columns, Sum Another Column, And Count Number Of Appearances In Pandas

I have a DataFrame like so: import pandas as pd d = {'param_1': [1.0, 2.0, 1.0, 1.0, 3.0, 3.0, 1.0, 2.0, 2.0,], 'param_2': [0.02, 0.08, 0.02, 0.08, 0.08, 0.02, 0.02, 0.08, 0

Solution 1:

Try using df.groupby(['param_1', 'param_2', 'param_3', 'param_4']).agg(['sum', 'count']), which returns:

                                 output_value      
                                         sum count
param_1 param_2 param_3 param_4                   
1.0     0.02    0.8     0              61.07     2
                2.5     0             126.40     1
        0.08    1.6     0             -56.32     1
2.0     0.02    0.8     0             325.40     1
        0.08    1.6     1             -64.24     2
3.0     0.02    2.5     0               3.67     1
        0.08    1.6     1             -10.36     1

You could unpack this DataFrame to print it out the way you'd prefer to see it, or just view it this way!