pandas 填充列表 nan 值
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Filling list nan values
提问by Shirohige
How to fill nan values with 0's in a list. I can do it for dataframes but don't know how to do it for lists?
如何在列表中用 0 填充 nan 值。我可以对数据框执行此操作，但不知道如何对列表执行此操作？
listname=listname.fillna(0)
This isn't working.
这不起作用。
回答by piRSquared
You can convert to a pandas series and back to a list
您可以转换为Pandas系列并返回列表
pd.Series(listname).fillna(0).tolist()
Consider the list listname
考虑清单 listname
listname = [1, np.nan, 2, None, 3]
Then
然后
pd.Series(listname, dtype=object).fillna(0).tolist()
[1, 0, 2, 0, 3]
回答by umutto
You can use list comprehension and check with math.isnan:
您可以使用列表理解并检查math.isnan：
import math
listname = [0 if math.isnan(x) else x for x in listname]
But that would not work with non float types, if you have strings, other numeric types etc.. in your list then you can use str(x) != 'nan'
但这不适用于非浮点类型，如果您的列表中有字符串、其他数字类型等，那么您可以使用str(x) != 'nan'
listname = [0 if str(x)=='nan' else x for x in listname]
回答by Exprator
listname1=listname.fillna()
this will work for all int,string,float values
这将适用于所有 int、string、float 值
