Is there a way to merge duplicated rows and sum values on pandas?

Question

I have the following DataFrame (example):

page_name	amount_spent
México opina	50302
De política	49779
El financiero	72300
México opina	32000
De política	22000

I have been trying to make it look like this with groupby on Pandas unsuccesfully:

page_name	amount_spent
México opina	82302
De política	71779
El financiero	72300

This is that the duplicated rows on page_name merged, and the amount_spent in the merged rows were sum.

How can I achieve this on Pandas while creating a new DataFrame?

Answer 1

Use groupby and sum :

df.groupby(['page_name']).sum()

Answer 2

You can use groupby and reset_index() :

df_grouped = pd.DataFrame(df.groupby('page_name')['amount_spent'].sum()).reset_index()

which will return a new dataframe as you want.