Python – want to remove ‘None’ from all rows of a Dataframe

Hello, looks like people are confused, so I deleted my attempt, leaving only the highly relevant part of the question :

Code to create the data frame:

Sample = [{'account': 'Jones LLC', 'Jan': 150, 'Feb': 200, 'Mar': [.332, .326, .329]},
     {'account': 'Alpha Co',  'Jan': 200, 'Feb': 210, 'Mar': [[.234, .246], None]},
     {'account': 'Blue Inc',  'Jan': 50,  'Feb': 90,  'Mar': [[.23], [.745, .398, .923], None] }]
df = pd. DataFrame(Sample)

Data frame visualization:

df:
  account        Jan      Feb          Mar
Jones LLC  |     150   |   200    | [.332, .326, .329]
Alpha Co   |     200   |   210    | [[.234, .246], None]
Blue Inc   |     50    |   90     | [[.23], [.745, .398, .923], None] 

I need a function that can be applied to df to remove the “none” value from df[‘Mar’], the goal is to return this value:

df:
  account        Jan      Feb          Mar
Jones LLC  |     150   |   200    | [.332, .326, .329]
Alpha Co   |     200   |   210    | [.234, .246]
Blue Inc   |     50    |   90     | [.23], [.745, .398, .923] 

You can nest the list to understand:

df['Mar'] = [[x for x in inner_list if x is not None] for inner_list in df['Mar']]

You can also use filter to filter out None values

df['Mar'] = [list(filter(lambda x: x is None, inner_list)) for inner_list in df['Mar']]