[Python] pandas DataFrame and pandas.groupby to calculate Salaries

For my assignment, I need to import baseball salary data into a pandas DataFrame.
From there, one of my objectives is to get the salaries of all the teams per year.

I was successful however in order to move onto the next task, I need a pandas DataFrame. sumofSalaries.dtype is returning int64.

Questions:
1. How do I convert the data in the code following into a DataFrame?
2. How do I delete the indexes in sumofSalaries?

Code:

import pandas as pd
salariesData = pd.read_csv('Salaries.csv')

#sum salaries by year and team
sumOfSalaries = salariesData.groupby(by=['yearID','teamID'])['salary'].sum()

del sumOfSalaries.index.names #line giving me errors

#create DataFrame from grouped data
df = pd.DataFrame(sumOfSalaries, columns = ['yearID', 'teamID', 'salary'])
df

_____________________________________________________________________________

sumofSalaries:
yearID teamID
1985 ATL 14807000
BAL 11560712
BOS 10897560
CAL 14427894
CHA 9846178

...and so on
_____________________________________________________________________________

df:

yearID teamID salary
yearID teamID
1985 ATL NaN NaN 14807000
BAL NaN NaN 11560712
BOS NaN NaN 10897560
CAL NaN NaN 14427894

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