python - 希望从 Dataframe 的所有行中删除 'None'

Question

您好，看起来人们感到困惑，所以我删除了我的尝试，只留下了问题中高度相关的部分:

创建数据框的代码:

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)

数据框可视化:

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] 

我需要一个可以应用于 df 的函数，以从 df['Mar'] 中删除“无”值，目标是返回此值:

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] 

Answer 1

你可以嵌套列表理解:

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

您还可以使用filter 来过滤掉None 值

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