Setting title after aggregation

Question

I am trying to aggregate and count values together. Below you can see my dataset

data = {'id':['1','2','3','4','5'],
        'name': ['Company1', 'Company1', 'Company3', 'Company3', 'Company5'], 
        'sales': [10, 3, 5, 1, 0], 
        'income': [10, 3, 5, 1, 0], 
       }
df = pd.DataFrame(data, columns = ['id','name', 'sales','income'])

conditions = [
    (df['sales'] < 1),
    (df['sales'] >= 1) & (df['sales'] < 3),
    (df['sales'] >= 3) & (df['sales'] < 5),
    (df['sales'] >= 5)
    ]


values = ['<1', '1-3', '3-5', '>= 5']

df['range'] = np.select(conditions, values)

df=df.groupby('range')['sales','income'].agg(['count','sum']).reset_index()   

This code gives me the next table

But I am not satisfied with the appearance of this table because 'count' is duplicated two times. So can anybody help me with this table in order to have separate columns 'range', 'count', 'income' and 'sales'.