array = pd.DataFrame(np.object, index=[], columns=[])
array = array.append({'Project': b.name, 'Summary': card.name,
                  'Key': card.id, 'Assignee': m, 'Points': s},
                  ignore_index=True)
array1 = pd.read_excel('ProjectCostUCP.xlsx', 'Лист1')
result = array[['Project', 'Assignee', 'Points']].groupby(['Project',
              'Assignee']).sum(axis=1)
print(result.columns.tolist())
result = result.merge(array1, on=['Project'])
result['Value'] = result.Points * result.Price
writer = pd.ExcelWriter('third.xlsx')
array.to_excel(writer, "June")
result.to_excel(writer, "June_agregation")
writer.save()

Project    Assignee Price   Points  Value
srnd-demo   Serhii  5,5     23      126,5

result = array[['Project', 'Assignee','Points']].groupby(['Project',
          'Assignee']).sum(axis=1)

Points
Project    Assignee
srnd-demo   Serhii   23

Project    Price
srnd-demo  5.5

result.reset_index().merge(array1)

Project     Assignee  Price_x  Points  Price_y
0  srnd-demo   Serhii      5.5    23.0      5.5

In [245]: result
Out[245]:
                    Points
Project   Assignee
srnd-demo Serhii        23

In [246]: array1
Out[246]:
     Project  Price
0  srnd-demo    5.5

In [247]: result.reset_index().merge(array1)
Out[247]:
     Project Assignee  Points  Price
0  srnd-demo   Serhii      23    5.5

In [259]: result
Out[259]:
                    Points  Price
Project   Assignee
srnd-demo Serhii        23    5.5

In [260]: array1
Out[260]:
     Project  Price
0  srnd-demo    5.5

In [257]: result.reset_index().merge(array1, on='Project')
Out[257]:
     Project Assignee  Points  Price_x  Price_y
0  srnd-demo   Serhii      23      5.5      5.5

In [258]: result.reset_index().merge(array1.drop(['Price'], axis=1), on='Project')
Out[258]:
     Project Assignee  Points  Price
0  srnd-demo   Serhii      23    5.5