Here it´s my problem y have two dataframes. I´m wanting to only make the sum in the column ¨Cantidad¨ because as you see, the other information is the same, I am only wanting to sum the column of ¨Cantidad¨ because that column will be variable. (Here samples) :
First DF
fac
Tarifa Precio Cantidad Importe $ Porcentaje
3 Vecina 155 87 13485 49.2%
2 Misma Zona 130 72 9360 40.7%
0 Alejada 229 17 3893 9.6%
1 Grande 250 1 250 0.6%
Second DF
fac2
Tarifa Precio Cantidad Importe $ Porcentaje
2 Vecina 155 61 9455 55.5%
1 Misma Zona 130 40 5200 36.4%
0 Alejada 229 9 2061 8.2%
I tried this with no luck:
df_concat = pd.concat([fac,fac2],axis=0)
df_grouped = df_concat.groupby(["Tarifa", "Precio"]).agg({"Cantidad": "sum"}).reset_index()
# Ordenamos el dataframe por las mismas columnas que utilizamos en el groupby
df_result = df_grouped.sort_values(["Tarifa", "Precio"])
# Mostramos el resultado
print(df_result)
The result:
Tarifa Precio Cantidad
2 Vecina 155 87
1 Misma Zona 130 72
0 Alejada 229 17
As you see there is not sum in the column ¨Cantidad¨
Hope can you help me!
Best regards!
r = (pd.concat([df1, df2], ignore_index=True)
.groupby('Tarifa')
.agg({'Precio': 'first', 'Cantidad': sum})
)
print(r)
Precio Cantidad
Tarifa
Alejada 229 26
Grande 250 1
Misma Zona 130 112
Vecina 155 148