What is the method to combine multiple rows of a dataframe into a single value?

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One method to combine multiple rows of a dataframe into a single value is to use the groupby() function and specify the desired column(s) to group by. Then, use the agg() function to apply a method, such as sum(), mean(), max(), or min(), to combine the values within each group into a single value.

For example, if we have a dataframe df with columns name, age, and city, and we want to combine the ages of individuals with the same name into a single value, we can use the following code:

grouped = df.groupby('name').agg({'age': 'sum'})

This will create a new dataframe grouped with a single row for each unique name in the original dataframe, where the age column contains the sum of ages for all individuals with that name.