python - 希望从数据框的所有行中删除“无”

嗨，看起来大家都很困惑，所以我取消了尝试，只留下了问题中非常相关的部分：
创建数据帧的代码：

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)

可视化数据帧：

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的函数来从df['mar']中删除“none”值，目的是返回：

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]

最佳答案

您可以嵌套列表理解：
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筛选出None值
df['Mar'] = [list(filter(lambda x: x is None, inner_list)) for inner_list in df['Mar']]