How to implode(reverse of pandas explode) based on a column

Question

I have a dataframe df like below

  NETWORK       config_id       APPLICABLE_DAYS  Case    Delivery  
0   Grocery     5399            SUN               10              


        

Answer 1

Your results look more like a sum, than average; The solution below uses named aggregation :

    df.groupby(["NETWORK", "config_id"]).agg(
    APPLICABLE_DAYS=("APPLICABLE_DAYS", ",".join),
    Total_Cases=("Case", "sum"),
    Total_Delivery=("Delivery", "sum"),
)

                        APPLICABLE_DAYS       Total_Cases   Total_Delivery
NETWORK config_id           
Grocery 5399                SUN,MON,TUE,WED           100      10

If it is the mean, then you can change the 'sum' to 'mean' :

df.groupby(["NETWORK", "config_id"]).agg(
    APPLICABLE_DAYS=("APPLICABLE_DAYS", ",".join),
    Avg_Cases=("Case", "mean"),
    Avg_Delivery=("Delivery", "mean"),
)

                    APPLICABLE_DAYS   Avg_Cases Avg_Delivery
NETWORK config_id           
Grocery 5399         SUN,MON,TUE,WED      25      2.5