Dataframe extract key values

[danipyth]

Given:
you have two columns ID , Status

ID 1 has the following Status value

Output:
[
  {
    'id': 0,
    'name': 'PASS',
    'description': 'The test run has passed',
    'isFinal': True,
    'color': '#95C160',
    'isNative': True,
    'statusCount': 1,
    'statusPercent': 100.0
  },
  {
    'id': 3,
    'name': 'FAIL',
    'description': 'The test run has failed',
    'isFinal': True,
    'color': '#D45D52',
    'isNative': True,
    'statusCount': 0,
    'statusPercent': 0.0
  },
  {
    'id': 4,
    'name': 'ABORTED',
    'description': 'The test run was aborted',
    'isFinal': True,
    'color': '#111111',
    'isNative': True,
    'statusCount': 0,
    'statusPercent': 0.0
  }

similarily 
ID 2 has the following status value:
[
  {
    'id': 0,
    'name': 'PASS',
    'description': 'The test run has passed',
    'isFinal': True,
    'color': '#95C160',
    'isNative': True,
    'statusCount': 2,
    'statusPercent': 100.0
  },
  {
    'id': 3,
    'name': 'FAIL',
    'description': 'The test run has failed',
    'isFinal': True,
    'color': '#D45D52',
    'isNative': True,
    'statusCount': 3,
    'statusPercent': 0.0
  },
  {
    'id': 4,
    'name': 'ABORTED',
    'description': 'The test run was aborted',
    'isFinal': True,
    'color': '#111111',
    'isNative': True,
    'statusCount': 4,
    'statusPercent': 0.0
  }

whats needed is:

ID PASS FAIL ABORTED
---------------------------
1 1 0 0
2 2 3 4

'statusCount' is the value used to fill out pass,fail ad aborted counts
and
'name' key became column name

Note: checked type of 'status' calumn - it is series

thanks in advance