Combine numbers from two columns to create one array

Code to create sample dataframe:

Sample = [{'account': 'Jones LLC', 'Jan': 150, 'Feb': 200, 'Mar': [[.332, .326], [.058, .138]]},
     {'account': 'Alpha Co',  'Jan': 200, 'Feb': 210, 'Mar': [[.234, .246], [.234, .395]]},
     {'account': 'Blue Inc',  'Jan': 50,  'Feb': 90,  'Mar': [[.084, .23], [.745, .923]]}]
df = pd.DataFrame(Sample)

Sample Dataframe visualized:

 df:
  account        Jan      Feb          Mar
Jones LLC  |     150   |   200    | [.332, .326], [.058, .138]
Alpha Co   |     200   |   210    | [[.234, .246], [.234, .395]
Blue Inc   |     50    |   90     | [[.084, .23], [.745, .923]

I'm looking for a formula to combine Jan and Feb columns into one array, outputting in a New column this array.

Expected output:

 df:
  account        Jan      Feb          Mar                             New
Jones LLC  |     150   |   200    | [.332, .326], [.058, .138]   |    [150, 200]
Alpha Co   |     200   |   210    | [[.234, .246], [.234, .395]  |    [200, 210]
Blue Inc   |     50    |   90     | [[.084, .23], [.745, .923]   |    [50, 90]